Alternatives to Slock
Compare Slock alternatives for your business or organization using the curated list below. SourceForge ranks the best alternatives to Slock in 2026. Compare features, ratings, user reviews, pricing, and more from Slock competitors and alternatives in order to make an informed decision for your business.
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Gemini Enterprise Agent Platform is a comprehensive solution from Google Cloud designed to help organizations build, scale, govern, and optimize AI agents. It represents the evolution of Vertex AI, combining advanced model development with new capabilities for agent orchestration and integration. The platform provides access to over 200 leading AI models, including Google’s Gemini series and third-party options like Anthropic’s Claude. It enables teams to create intelligent agents using both low-code and code-first development environments. With features like Agent Runtime and Memory Bank, businesses can deploy long-running agents that retain context and perform complex workflows. The platform emphasizes security and governance through tools like Agent Identity, Agent Registry, and Agent Gateway. It also includes optimization tools such as simulation, evaluation, and observability to ensure consistent agent performance.
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OpenClaw
Molty
OpenClaw is an open source autonomous personal AI assistant agent you run on your own computer, server, or VPS that goes beyond just generating text by actually performing real tasks you tell it to do in natural language through familiar chat platforms like WhatsApp, Telegram, Discord, Slack, and others. It connects to external large language models and services while prioritizing local-first execution and data control on your infrastructure so the agent can clear your inbox, send emails, manage your calendar, check you in for flights, interact with files, run scripts, and automate everyday workflows without needing predefined triggers or cloud-hosted assistants; it maintains persistent memory (remembering context across sessions) and can run continuously to proactively coordinate tasks and reminders. It supports integrations with messaging apps and community-built “skills,” letting users extend its capabilities and route different agents or tools through isolated workspaces.Starting Price: Free -
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Hindsight
Vectorize
Hindsight is an agent memory system built to create smarter AI agents that learn over time instead of starting every conversation from zero. Most agent memory systems focus on recalling conversation history, but Hindsight is focused on making agents learn, not just remember. It gives AI agents persistent long-term memory using biomimetic data structures, helping them retain facts, recall relevant context, and reflect on experience as part of reasoning. Hindsight is designed for agents that need to understand who a user is, what has been discussed, what preferences have emerged, what decisions were made, and how behavior should adapt across sessions. It provides three core operations: retain, recall, and reflect. Retain stores new information, recall retrieves the right memories when needed, and reflect helps agents synthesize observations, form mental models, and learn from prior interactions.Starting Price: Free -
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Subspace
Subspace
Subspace is an AI-native agent workspace designed to help developers and teams manage, coordinate, and collaborate with multiple coding agents in a single unified environment while preserving context across sessions. Instead of treating each AI interaction as isolated, the platform builds persistent memory in the background by compressing every conversation into structured observations such as decisions, blockers, and progress, which are continuously synthesized into a clear, evolving project state. This shared memory belongs to the workspace rather than any individual tool, allowing different agents like Claude Code, Codex, or others to seamlessly pick up where previous sessions left off without requiring repeated explanations or manual context transfer. Subspace integrates terminals, files, documentation, browser views, and git workflows into organized workspaces, enabling users to run multiple agents side by side and switch between projects almost instantly.Starting Price: $12 per month -
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Convo
Convo
Kanvo provides a drop‑in JavaScript SDK that adds built‑in memory, observability, and resiliency to LangGraph‑based AI agents with zero infrastructure overhead. Without requiring databases or migrations, it lets you plug in a few lines of code to enable persistent memory (storing facts, preferences, and goals), threaded conversations for multi‑user interactions, and real‑time agent observability that logs every message, tool call, and LLM output. Its time‑travel debugging features let you checkpoint, rewind, and restore any agent run state instantly, making workflows reproducible and errors easy to trace. Designed for speed and simplicity, Convo’s lightweight interface and MIT‑licensed SDK deliver production‑ready, debuggable agents out of the box while keeping full control of your data.Starting Price: $29 per month -
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PrimeClaws
PrimeClaws.com
PrimeClaws is a managed hosting platform for OpenClaw autonomous AI agents that lets users deploy and run their OpenClaw instances in the cloud with minimal setup and no DevOps knowledge; it focuses on providing a simple, one-click deployment process so an AI assistant built on OpenClaw can run 24/7 without requiring your laptop or local server to stay on. With support for major LLMs (like Claude, GPT, and Gemini) and persistent memory across sessions, agents can continue working and remembering context over time, and it integrates with messaging channels such as WhatsApp, Telegram, Slack, and others, so your AI assistant can be accessed and interacted with through familiar communication apps. Hosting through ClawHost abstracts infrastructure management, offering global cloud operations with persistent uptime, root access on self-hosted VPS environments, and full control over your agent’s environment, while automatically keeping the AI instance running.Starting Price: $9.99/month -
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Buda
Buda
Buda is a cloud-native AI agent platform designed to let organizations build and operate entire “AI companies” composed of autonomous agents that actively execute tasks rather than just generate responses. It enables users to create specialized AI agents, such as coding, sales, marketing, finance, or operations agents, that can run in parallel, collaborate, and handle real workflows like generating leads, writing code, managing CRM data, or producing reports. It provides a unified workspace where agents have access to tools like a browser, terminal, file system, and version control, allowing them to perform real actions step by step with full transparency instead of acting as black-box chatbots. A core component is its persistent “Drive,” where agents store memory, files, and context across sessions, enabling them to learn from past work and evolve over time rather than resetting after each interaction.Starting Price: $20 per month -
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Membase
Membase
Membase is a unified AI memory layer platform designed to help AI agents and tools share and persist context so they “understand you” across sessions without forced repetition or isolated memory silos, enabling consistent conversational experiences and shared knowledge across AI assistants. It provides a secure, centralized memory layer that captures, stores, and syncs context, conversation history, and relevant knowledge across multiple AI agents and integrations with tools such as ChatGPT, Claude, Cursor, and others, so all connected agents can access a common context and avoid repeating user intents. Designed as a foundational memory service, it aims to maintain consistent context across your AI ecosystem, reducing friction and improving continuity in multi-tool workflows by keeping long-term context available and shared rather than locked within individual models or sessions, and letting users focus on outcomes instead of re-entering context for each agent request. -
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OpenViking
OpenViking
OpenViking is an open source context database designed specifically for AI agents, built around a file-system paradigm that unifies the management of memories, resources, and skills. Instead of treating context as scattered chunks in a fragmented vector store, OpenViking organizes agent context into a virtual file system under the viking protocol, giving agents a structured way to store, navigate, retrieve, and observe the information they need. It is designed to help developers move beyond the hassle of manual context management by giving agents a minimalist interaction model for context, similar to reading and writing files. OpenViking supports hierarchical context loading, semantic retrieval, recursive retrieval, sessions, metrics, and observability, making it possible for AI agents to access the right level of information without stuffing everything into the prompt.Starting Price: Free -
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MiMo Code
Xiaomi Technology
MiMo Code is a terminal-native AI coding assistant designed to live inside the developer’s computer, understand the project more deeply over time, and improve as it works. It can read and write code, run commands, manage Git, and keep a persistent project context across sessions through a built-in memory system. Instead of relying on the model to remember on its own, MiMo Code uses project memory, conversation checkpoints, scratch notes, task progress, and SQLite FTS5 full-text search to preserve rules, architecture decisions, session state, and ongoing work. When context nears the limit, it reconstructs the working state from the latest checkpoint, memory, task progress, and recent messages so the agent can continue rather than start from scratch. Multiple agents support different workflows, build for full-permission development, plan for read-only analysis, and compose for specs-driven development. -
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kōdlo
Reinode Software
kōdlo is an agent-native sales workspace for B2B teams closing high-ticket deals. The platform combines a modern multi-tenant CRM with a single unified AI agent that lives inside every page of the workspace — always present, always context-aware, ready to act without copy-pasting or tab switching. The agent knows what the user is looking at. Open a contact and ask "what should I do next?" — the answer comes in seconds, grounded in LinkedIn activity, company news, and CRM history. Key capabilities: Multi-Step Deep Research produces citation-rich prospect briefs by running coordinated searches across multiple open sources. Knowledge Hub lets teams upload pitch decks, RFPs, and industry reports and work with them in full agent context. Recurring Scheduling Jobs process entire lead lists autonomously on a set schedule, delivering results to the workspace, Telegram, or Google Chat.Starting Price: $49/month -
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Keycard
Keycard
Keycard is an identity-and-access infrastructure platform built for the agent-native era, enabling developers and enterprises to securely connect AI agents, users, services, and APIs with real-time, policy-driven identity controls. It issues dynamic, ephemeral access tokens in place of static secrets and supports federated identity models to unify users, agents, and workloads under a distributed authorization framework. The platform provides drop-in SDKs for popular frameworks so developers can build agent-aware applications without becoming IAM experts. Keycard’s data model includes identity-attested agents, tasks, tools, and resources, allowing logical zones with context-aware permissions and auditability. On the policy side, security teams can define deterministic, task-based rules that enforce who (user/agent) can do what (task) on which resource under which conditions, all with full transparency. -
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MemClaw
Caura AI
MemClaw is a persistent-memory service for LLM-based agents and a governed shared memory layer for agent fleets. It is designed to help AI agents learn from each other by turning isolated agent context into a Company Brain with memory, governance, provenance, contradiction detection, and visibility scopes built in from day one. MemClaw separates an organization’s agent force, including tenants, fleets, nodes, and agents, from the governed memory plane through MCP Server, REST API, OpenClaw plugin, MemClaw Core, and persistent storage. Agents can write to and recall from the Company Brain through MCP-compatible tools, direct HTTPS calls, or OpenClaw integration, while MemClaw Core runs enrichment such as entity extraction, contradiction detection, PII scanning, and lifecycle transitions before anything is stored. Every memory can be stamped with a visibility scope, auto-classified into types such as fact, episode, decision, preference, rule, plan, commitment, action, and outcome.Starting Price: $49 per month -
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HybridClaw
HybridAI
HybridClaw is an enterprise-grade AI agent platform designed to function as a persistent digital coworker that unifies workflows across communication channels, tools, and execution environments into a single intelligent system. It provides a “shared assistant brain” that operates consistently across Discord, Teams, iMessage, WhatsApp, email, web interfaces, and terminal environments, ensuring that all users interact with the same memory, behavior, and execution logic. It combines persistent workspace memory, semantic recall, and knowledge-graph relationships to maintain context across long-running conversations and tasks, allowing it to remember projects, decisions, and interactions over time. HybridClaw enables end-to-end task execution by securely running tools, commands, and workflows within sandboxed environments, applying guardrails, permission controls, and audit logs to ensure safe and controlled automation.Starting Price: Free -
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Notenic
Notenic
Notenic is a runtime orchestration and governance platform designed to control and secure autonomous AI agents (“digital labor”) in real time, particularly in environments where failure carries regulatory, legal, or operational consequences. It operates as an infrastructure layer that sits directly in the execution path of AI systems, enforcing deterministic governance before any action reaches systems of record, rather than relying on post-output filters or prompt-level controls. It introduces a zero-trust runtime architecture built on core principles such as zero-persistence (no data retained after each session), execution-path control (policy enforcement at the moment of action), and independence from model context, ensuring that adversarial inputs cannot override governed behavior. Notenic provides a unified control plane that includes agent workforce management (treating AI agents as operational units with defined roles and supervision). -
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AgentSea
AgentSea
AgentSea is an open source platform designed to build, deploy, and share AI agents with ease. It delivers a collection of libraries and tools for building AI agent apps, favoring the UNIX philosophy of doing one thing well. Tools can be used individually or stacked together into a single agent app, and are compatible with frameworks like LlamaIndex and LangChain. Key components include SurfKit, a Kubernetes-style orchestrator for agents; DeviceBay, offering pluggable devices like file systems and desktops; ToolFuse, a library that wraps scripts, third-party apps, and APIs as Tool implementations; AgentD, a daemon making a Linux desktop OS accessible to bots; AgentDesk, a library for running AgentD-powered VMs; Taskara, for task management; ThreadMem, for building multi-role persistent threads; and MLLM, simplifying communication with multiple LLMs and multimodal LLMs. AgentSea also offers alpha agents like SurfPizza and SurfSlicer, which navigate GUIs using multimodal approaches.Starting Price: Free -
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Moxt
Moxt
Moxt is an AI-native workspace designed to help teams build and collaborate with autonomous AI agents that can research, write, analyze, and execute tasks alongside humans in a shared environment. It acts as an “operating system for agents,” bringing together files, memory, tools, and skills so AI teammates can perform real work without constant prompting or re-explaining context. It introduces persistent AI assistants (called “momo”) for each user, as well as shared AI teammates that collaborate across the organization, learn from interactions, and improve over time through a shared memory layer. These agents can autonomously generate reports, build dashboards, draft documents, analyze data, and prepare workflows, often completing tasks proactively or on a schedule without direct input. Moxt integrates with tools like Slack, allowing users to interact with AI agents directly in existing workflows, while outputs are saved as structured files in a centralized workspace. -
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Golf
Golf
GolfMCP is an open source framework designed to streamline the creation and deployment of production-ready Model Context Protocol (MCP) servers, enabling organizations to build secure, scalable AI-agent infrastructure without worrying about boilerplate. It allows developers to define tools, prompts, and resources as simple Python files, after which Golf handles routing, authentication, telemetry, and observability, so you focus on logic, not plumbing. The platform supports enterprise authentication (JWT, OAuth Server, API key), automatic telemetry, and a file-based structure that eliminates decorators or manual schema wiring. With built-in utilities for LLM interactions, error logging, OpenTelemetry integration, and deployment tools (such as a CLI with golf init, golf build dev, golf run), Golf provides a full stack for agent-native services. Included also is the Golf Firewall, an enterprise-grade security layer for MCP servers that enforces token validation.Starting Price: Free -
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LobeHub
LobeHub
LobeHub is an open-source AI platform that lets users create, customize, and manage AI agents and assistant teams that grow with their needs, enabling collaboration across workflows and projects with shared context and adaptive behavior. It supports multiple AI models and providers through an intuitive interface, allowing seamless switching and conversations across models while integrating knowledge bases, plugins, and task-specific skills for enhanced productivity. Users can deploy private chat applications and assistants, connect agents to real-world tools and data sources, and organize work into projects, schedules, and workspaces with coordinated agents executing tasks in parallel. LobeHub emphasizes long-term co-evolution between humans and agents through personal memory and continual learning, offering extensible frameworks for multimodal interaction and community contributions, such as an agent marketplace and plugin ecosystem.Starting Price: $9.90 per month -
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Junior
Junior.so
Junior is an AI-native “employee” platform designed to function as a real, autonomous team member inside an organization, rather than a traditional chatbot or assistant. It creates AI agents that have their own identity, including email accounts and access to company tools, allowing them to operate within existing workflows as if they were actual employees. These agents learn continuously from interactions with teammates and company data, building organizational memory and adapting to how the team works over time. Junior is designed to understand context across the business, take initiative, and execute tasks independently, rather than waiting for step-by-step instructions. It can manage communication, coordinate workflows, and perform operational tasks across tools while maintaining persistence and awareness of past actions.Starting Price: $2,000 per month -
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NEONAGENT
NEONAGENT
NEONAGENT is an AI-powered community management tool designed to operate as a humanlike participant within online group environments, particularly on platforms like Discord. Unlike traditional bots, it runs on a real user account and is built to behave naturally in conversations, allowing it to blend into communities while maintaining context and social awareness. It is powered by HUMA, an event-driven agent architecture that enables natural timing, interruptions, and humanlike interaction patterns, allowing the agent to understand group dynamics, roles, and conversational flow. It determines who to respond to, when to engage, and what to say, avoiding robotic or instant replies by simulating pauses and realistic behavior. NEONAGENT retains context across multiple users, channels, and past interactions, enabling it to participate in ongoing discussions rather than simply reacting to isolated messages.Starting Price: $10 per month -
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Artyfacts
Artyfacts
Artyfacts is a persistent workspace platform designed for AI agents, enabling their outputs to exist beyond temporary chat interactions and become structured, reusable assets such as research, specifications, reports, and documentation. It addresses a core limitation of current AI workflows, where generated content is often lost or fragmented across chat logs, by providing a centralized environment where work produced by agents can be stored, organized, and iterated over time. It supports outputs from multiple AI systems, including tools like Claude, OpenClaw, or other agents, allowing teams to unify their workflows regardless of the underlying model. Rather than treating AI interactions as disposable conversations, Artyfacts turns them into durable artifacts that can be referenced, edited, and built upon, improving continuity and collaboration in complex projects. It functions as a workspace layer for agent-driven development and research.Starting Price: $7 per month -
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Glia
Glia
People communicate digitally in their personal lives and expect the same from businesses. Serve them at their point of need and support them in the channels they desire to keep them coming back for more. On-screen observation, along with persistent customer data that flows with the conversation, provides context so you can quickly understand customers’ needs and guide them past sticking points to success. Customers don't want to jump through hoops to get assistance. Reduce customer effort with personalized, intuitive service from intelligent virtual assistants and informed live agents. Eliminate needless customer and agent repetition, and remove ambiguity with CoBrowsing and screen pops to respond to client needs more efficiently. -
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MiniMax Code
MiniMax
MiniMax Code brings the agent experience to Mac and Windows, where users can pick a workspace, describe what they need, and let the agent read, analyze, batch-process, and act on local files or remote tasks. Instead of manually managing every step, users define the goal and MiniMax Code builds the right agent team, soloing simple tasks and teaming up on complex work. The agent remembers habits, preferences, projects, and repeated workflows through persistent memory, generating skills over time so users do not have to explain the same context again. It is designed to work where people already chat, handling local files, remote work, schedules, teams, memories, and skills directly from the conversation. The product supports advanced coding and agentic workflows, including multi-file edits, test-validated repairs, long-horizon tool chains, planning, document summarization, creative writing, research, full-stack development, reports, presentations, web development, and everyday Q&A.Starting Price: $20 per month -
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Backboard
Backboard
Backboard is an AI infrastructure platform that provides a unified API layer giving applications persistent, stateful memory and seamless orchestration across thousands of large language models, built-in retrieval-augmented generation, and long-term context storage so intelligent systems can remember, reason, and act consistently over extended interactions rather than behave like one-off demos. It captures context, interactions, and long-term knowledge, storing and retrieving the right information at the right time while supporting stateful thread management with automatic model switching, hybrid retrieval, and flexible stack configuration so developers can build reliable AI systems without stitching together fragile workarounds. Backboard’s memory system consistently ranks high on industry benchmarks for accuracy, and its API lets teams combine memory, routing, retrieval, and tool orchestration into one stack that reduces architectural complexity.Starting Price: $9 per month -
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Unipile
Unipile
Unipile is a unified API designed to integrate multiple communication channels, messaging, email, calendar, and more, into your software application. It provides over 500 endpoints that enable developers to connect platforms such as LinkedIn, WhatsApp, Instagram, Gmail, Outlook, and IMAP into a single unified inbox. With Unipile, you can send and retrieve messages across channels, manage calendars (Google/Outlook), sync conversations in real time, and maintain full historical context across channels. The API supports functions such as starting chats, retrieving message threads, scheduling events, and connecting profile data, all through the same interface. Use-cases include ATS/CRM software publishers, outreach tools, no-code builders, and AI agent platforms, anywhere multi-channel communication needs to be embedded into an application. Unipile also emphasizes rapid integration, developer-friendly documentation, and live support.Starting Price: €49 per month -
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MythOS
MythOS
MythOS is a shared memory system between you and every AI you use, built to help people stop re-explaining themselves across models, agents, and channels. It is designed for people who write to think, giving them a modular thinking system for structured notes, memos, contextual maps, and AI-powered workflows. Users can capture what they read, connect what they think, and publish what matters while keeping their library one click away from every AI. MythOS works as a personal knowledge operating system where memory, notes, ideas, resources, and context can be organized into structured documents that stay useful over time. Its approach treats knowledge as a process, not a one-time activity, so living documents can remain in progress, evolve, and connect with related people, projects, topics, and ideas. It supports contextual maps, public memos, private knowledge, AI-ready memory, exportable data, and workflows that help users build a durable layer of context.Starting Price: $10 per month -
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AgentMail
AgentMail
AgentMail is an API-first email platform designed to give artificial intelligence agents their own fully functional email inboxes, enabling them to communicate, send messages, and participate in email conversations autonomously. Instead of building on traditional email providers created for human users, it provides programmatic inboxes that can be created and managed directly through an API, allowing developers to assign email identities to AI agents in the same way a human would have a Gmail or Outlook account. Each agent receives its own inbox and email address, which can send, receive, and reply to messages while maintaining threaded conversations and persistent message history. It enables AI agents to read and interpret incoming emails, extract structured information from messages, and automatically generate responses or trigger workflows based on the content of the conversation.Starting Price: $20 per month -
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Monid
Monid
Monid is an agent-native router that helps AI agents discover, access, and pay for external tools through a single unified skill. The platform gives agents access to more than 200 tools across dozens of providers without requiring separate API keys, subscriptions, or manual setup for each service. Monid allows an agent to search for the right endpoint using natural language, compare providers, understand pricing, and execute tool calls through one shared balance. Its pay-per-call model helps users avoid seat-based subscriptions and only pay for the specific tool usage their agents need. The platform supports MCP-compatible agents and can be used in environments such as web chats, IDEs, terminals, and agent frameworks. Monid normalizes provider responses into structured JSON so agents can compare results and route by quality rather than API differences. -
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VoltAgent
VoltAgent
VoltAgent is an open source TypeScript AI agent framework that enables developers to build, customize, and orchestrate AI agents with full control, speed, and a great developer experience. It provides a complete toolkit for enterprise-level AI agents, allowing the design of production-ready agents with unified APIs, tools, and memory. VoltAgent supports tool calling, enabling agents to invoke functions, interact with systems, and perform actions. It offers a unified API to seamlessly switch between different AI providers with a simple code update. It includes dynamic prompting to experiment, fine-tune, and iterate AI prompts in an integrated environment. Persistent memory allows agents to store and recall interactions, enhancing their intelligence and context. VoltAgent facilitates intelligent coordination through supervisor agent orchestration, building powerful multi-agent systems with a central supervisor agent that coordinates specialized agents.Starting Price: Free -
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MemMachine
MemVerge
An open-source memory layer for advanced AI agents. It enables AI-powered applications to learn, store, and recall data and preferences from past sessions to enrich future interactions. MemMachine’s memory layer persists across multiple sessions, agents, and large language models, building a sophisticated, evolving user profile. It transforms AI chatbots into personalized, context-aware AI assistants designed to understand and respond with better precision and depth.Starting Price: $2,500 per month -
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Webex AI Agent
Webex
Webex AI Agent delivers dynamic, human-like interactions through conversational intelligence across voice and digital channels, providing proactive self-service for customers. It understands individual needs, remembers user history, and adapts to preferences in real time, ensuring personalized experiences. It allows for easy design and deployment of AI agents, offering options to build autonomous agents for natural conversations or scripted agents with specific, pre-configured answers. These agents can handle complex inquiries by integrating with back-office systems to fully resolve customer issues. They are deployable across various channels, including voice, SMS, email, live chat, Facebook Messenger, Apple Messages for Business, and WhatsApp, providing 24/7 support. Seamless handoff to human agents is facilitated when necessary, with full context transfer to ensure continuity. The AI Agent supports over 10 languages, overcoming language barriers and scaling customer interaction. -
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NanoClaw
NanoClaw
NanoClaw is a lightweight, open-source personal AI assistant that runs securely inside Linux containers. Designed as a simplified alternative to larger frameworks, it connects Claude Code to WhatsApp and enables autonomous task execution with isolated group contexts. Each group operates in its own container with a dedicated filesystem and memory file, ensuring strong OS-level security rather than application-level permission checks. The system runs as a single Node.js process with a minimal codebase that users can understand and modify quickly. NanoClaw supports scheduled tasks, web access, and optional integrations through modular Claude skills. It introduces Agent Swarms, allowing multiple specialized agents to collaborate within a single chat. Built for individual users rather than enterprises, NanoClaw emphasizes customization through direct code changes instead of configuration files.Starting Price: Free -
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happycapy
happycapy
happycapy is an agent-native AI platform that turns your browser into a powerful “agent computer,” enabling developers and users to deploy and run autonomous AI agents 24/7 without traditional server infrastructure, letting you delegate work across hundreds of large language models (LLMs) and AI services such as Claude Code in a secure, sandboxed environment. It supports running multiple AI agents in parallel to handle coding, automation, data-processing, and custom workflows continuously, giving teams a unified interface for orchestrating, scaling, and monitoring agent tasks. happycapy emphasizes flexibility and developer control by providing a private sandbox where agents can execute jobs, interact with code and data, and collaborate on complex tasks while managing state, logs, and outputs from AI services. It simplifies building and maintaining AI-powered applications by abstracting the complexity of infrastructure and model orchestration.Starting Price: $20/month -
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ClickUp Super Agents
ClickUp
ClickUp Super Agents introduce human-level AI teammates designed to work alongside people in real workflows. These AI agents can be assigned tasks, mentioned in conversations, and messaged directly, just like human teammates. Super Agents operate autonomously with infinite memory, continuous learning, and real-time context awareness. They support over 500 human-like skills, enabling them to manage projects, write content, analyze data, and automate operations. Multi-agent orchestration allows entire teams of specialized agents to be created from a single prompt. Super Agents work 24/7, proactively assisting through ambient intelligence without constant user input. This transforms productivity by combining human judgment with AI-driven execution at scale. -
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Bloome
Bloome
Bloome is an AI-native group chat and agent platform built to let Claude, ChatGPT, DeepSeek, and any agent work as one team. You are not replaced; you are amplified. Instead of using a single assistant in a separate tab, Bloome brings people, agents, tools, and shared context into one conversation where agents are first-class members with profiles, member-list presence, DMs, threads, and mentions. Users can call an agent by mentioning it, reply to a thread or task, or bring several agents into one chat so they can delegate, share context, work in parallel, review each other’s output, and push toward the sharpest version. Bloome supports cross-role collaboration, where one agent drafts, another pushes back, and another catches what is missing, while human teammates stay in the same working thread to review and steer the work. Every discussion, revision, and decision stays in one shared workspace that anyone with access can revisit later. -
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Mistral Agents API
Mistral AI
Mistral AI has introduced its Agents API, a significant advancement aimed at enhancing the capabilities of AI by addressing the limitations of traditional language models in performing actions and maintaining context. This new API integrates Mistral's powerful language models with several key features, built-in connectors for code execution, web search, image generation, and Model Context Protocol (MCP) tools; persistent memory across conversations; and agentic orchestration capabilities. The Agents API complements Mistral's Chat Completion API by providing a dedicated framework that simplifies the implementation of agentic use cases, serving as the backbone of enterprise-grade agentic platforms. It enables developers to build AI agents capable of handling complex tasks, maintaining context, and coordinating multiple actions, thereby making AI more practical and impactful for enterprises. -
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DockClaw
DockClaw
DockClaw is a managed hosting platform for OpenClaw that enables users to deploy and run autonomous AI agents in seconds without handling servers, Docker, or DevOps setup. It allows users to launch AI-powered agents that connect to messaging platforms such as Telegram and other communication channels, where they can operate continuously to automate workflows, respond to users, and execute tasks. It provides one-click deployment on dedicated virtual machines or isolated containers with 24/7 uptime, persistent storage, and health monitoring, ensuring agents remain always available and stable. Users can choose from multiple AI models, including Claude, GPT, Gemini, Llama, and other OpenAI-compatible systems, and switch between them without lock-in. DockClaw includes built-in configuration tools for customizing agent behavior, memory, and system prompts, as well as secure handling of API keys through encrypted environments and zero-knowledge architecture.Starting Price: $19.99 per month -
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Hyperspell
Hyperspell
Hyperspell is an end-to-end memory and context layer for AI agents that lets you build data-powered, context-aware applications without managing the underlying pipeline. It ingests data continuously from user-connected sources (e.g., drive, docs, chat, calendar), builds a bespoke memory graph, and maintains context so future queries are informed by past interactions. Hyperspell supports persistent memory, context engineering, and grounded generation, producing structured or LLM-ready summaries from the memory graph. It integrates with your choice of LLM while enforcing security standards and keeping data private and auditable. With one-line integration and pre-built components for authentication and data access, Hyperspell abstracts away the work of indexing, chunking, schema extraction, and memory updates. Over time, it “learns” from interactions; relevant answers reinforce context and improve future performance. -
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Cisco AI Canvas
Cisco
The Agentic Era marks a transformative shift from traditional application-centric computing to a new frontier defined by agentic AI, autonomous, context-aware systems capable of acting, learning, and collaborating within complex, dynamic environments. These intelligent agents don’t just respond to commands; they perform complete tasks, retain memory and context via large language models tailored for specific domains, and can scale across industries into the tens of millions. This evolution brings the need for a new operational mindset, AgenticOps, and a reimagined management interface built around three guiding principles, keeping humans thoughtfully in the loop to provide creativity and judgment, enabling agents to operate across siloed systems with cross-domain context, and deploying purpose-built models fine-tuned for their distinct tasks. Cisco brings this to life through AI Canvas, the industry’s first generative, shared workspace driven by a multi-data, multi-agent architecture. -
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Koog
JetBrains
Koog is a Kotlin‑based framework for building and running AI agents entirely in idiomatic Kotlin, supporting both single‑run agents that process individual inputs and complex workflow agents with custom strategies and configurations. It features pure Kotlin implementation, seamless Model Control Protocol (MCP) integration for enhanced model management, vector embeddings for semantic search, and a flexible system for creating and extending tools that access external systems and APIs. Ready‑to‑use components address common AI engineering challenges, while intelligent history compression optimizes token usage and preserves context. A powerful streaming API enables real‑time response processing and parallel tool calls. Persistent memory allows agents to retain knowledge across sessions and between agents, and comprehensive tracing facilities provide detailed debugging and monitoring.Starting Price: Free -
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Webex Engage
Cisco
Engage more, react less Empower your contact center to support customer conversations on any channel. From voice to messaging apps, equip your agents with one interface to increase productivity and deliver the support your customers expect. Keep customers proactively informed. Provide self-care capabilities. Transfer conversations with full context to live agents when required. Integrate virtual customer agents into customer service operations to manage routine enquiries, offer self-service, and provide 24x7 assistance. Build an IVR journey that lets customers seamlessly transfer to a messaging channel where they can self-serve and chat with agents at their convenience. Some enquiries require instant attention. Identify complex and high-priority customer issues and seamlessly pass them directly to agents. Interactions are never fixed to one channel. Easily elevate a chat conversation to a phone call or a browser-based video call for instant support. -
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Zyphra Cloud
Zyphra
Zyphra Cloud is a full-stack platform for open superintelligence, bringing advanced innovations from Zyphra Research into production for developers, enterprises, and frontier AI hyperscalers. It is designed for advanced AI systems with a focus on long-horizon agents, combining agent infrastructure, inference, agent environments, and compute into one unified platform for building and deploying open, sovereign AI at scale. Zyphra Cloud includes MAIA, a general open superagent for teams: a unified multimodal system that coordinates knowledge, communication, and execution across tools and workflows. MAIA is multiplayer by design, providing shared context, persistent memory, and coordinated execution across users and tools, while supporting interaction through language, audio, and vision in a single unified reasoning loop. Zyphra Inference is the first available component of the platform and is purpose-built to serve long-horizon agentic workloads. -
44
EverMemOS
EverMind
EverMemOS is a memory-operating system built to give AI agents continuous, long-term, context-rich memory so they can understand, reason, and evolve over time. It goes beyond traditional “stateless” AI; instead of forgetting past interactions, it uses layered memory extraction, structured knowledge organization, and adaptive retrieval mechanisms to build coherent narratives from scattered interactions, allowing the AI to draw on past conversations, user history, or stored knowledge dynamically. On the benchmark LoCoMo, EverMemOS achieved a reasoning accuracy of 92.3%, outperforming comparable memory-augmented systems. Through its core engine (EverMemModel), the platform supports parametric long-context understanding by leveraging the model’s KV cache, enabling training end-to-end rather than relying solely on retrieval-augmented generation.Starting Price: Free -
45
Miora
Miora
Miora is a personal AI assistant and AI creative studio designed to help users create, manage, and reuse intelligent assistants instead of repeatedly typing the same prompts. It is built around AI agents that understand context, reason through problems, call tools on their own, and work as reusable assistants for ongoing creative and productivity workflows. Rather than functioning as a one-off chatbot, Miora is positioned as a persistent AI workspace where users can save instructions, build specialized assistants, and return to them whenever they need help with recurring tasks. Its agent-based approach is meant to improve efficiency by letting users define how an assistant should think, respond, and support their work over time. Miora can support creative workflows by helping users organize ideas, generate content, refine outputs, and maintain continuity across different tasks or projects. -
46
Tlon Messenger
Tlon
Tlon Messenger is a messenger and personal AI agent experience built around the idea that the tools closest to your life should belong to you. It runs on a personal server that is yours forever, so messages, groups, identity, and data live on your server rather than on Tlon’s infrastructure. Every account includes Tlonbot, an OpenClaw-powered AI agent that works inside Tlon Messenger, learns workflows and preferences, and augments conversations without giving personal context away to another giant company. Tlonbot can join group chats, answer questions, search the web, manage groups, remember context, schedule tasks, help with reminders, support games and trivia, and act as a private confidant or shared assistant. Everyone in a group chat can use it, making the agent part of the conversation instead of a separate app. Tlonbot’s memories live on the user’s server, and its own node is tied to the user’s node, with a dedicated server and cryptographic identity.Starting Price: Free -
47
Lunos
Lunos
Lunos AI is an end-to-end accounts receivable automation platform that uses AI to handle outreach, follow-ups, and payment negotiation across fragmented systems. It connects to ERPs, CRMs, and payment processors, consolidating AR data into a unified view. It reads customer records and email threads to understand context and automatically determine next steps, from sending personalized communications to escalating unattended invoices, while maintaining traceability and human-in-the-loop control. It adapts its tone, timing, and channel to each customer relationship, and surfaces dashboards that let AR analysts, controllers, or CFOs monitor progress, manage exceptions, and stay in control of key metrics like DSO and write-offs. With 24/7 agent-like automation, the platform treats the entire AR pipeline as a consistent workflow rather than a series of manual tasks.Starting Price: $200 per month -
48
Tidy
Tidy
Tidy is an AI-powered personal agent platform designed to help users automate tasks and create custom tools without writing code. It allows users to build a personal agent in seconds and interact with it through familiar messaging environments, enabling seamless communication and task execution across different workflows. It can be trained to use virtually any website or application, meaning the agent can perform actions that users normally do manually, from checking updates to completing routine online tasks. Tidy also offers built-in and community tools to accelerate setup, including reminders for scheduled tasks and a persistent memory system for notes and files. By connecting services like Google Calendar, it can understand availability and help coordinate activities automatically. The overall goal of Tidy is to function as a flexible, no-code automation layer that learns user behavior and executes repetitive digital work reliably. -
49
Factory
Factory.ai
Factory.ai is an agent-native software development platform designed to automate and accelerate engineering workflows. It enables developers to delegate complex tasks like refactoring, migrations, and incident response to AI-powered agents called Droids. The platform integrates seamlessly into existing tools such as IDEs, terminals, and collaboration apps. Developers can continue using their preferred environments like VS Code, JetBrains, or command line interfaces. Factory.ai works across the entire development lifecycle, from coding to CI/CD pipelines. It is built with enterprise-grade security to protect data and intellectual property. Overall, Factory.ai enhances productivity by enabling AI agents to work alongside developers without disrupting workflows.Starting Price: $80 per month -
50
CMEM Cloud
cmem.ai
CMEM Cloud is the cloud sync layer for claude-mem, built to link AI agent memory everywhere through one private MCP link. claude-mem is the open source engine that takes notes while an agent works, and CMEM Cloud mirrors that local memory so agents can recall it across every session, machine, editor, and MCP-compatible client. Instead of making users re-explain context, paste old notes, or restart from zero, the system captures decisions, bug fixes, dead ends, environment notes, architecture choices, and other structured observations as the agent works. Those observations are stored in a temporal database, searched by meaning through vector recall, and made available through a private MCP endpoint that any compatible agent can read and write through. It starts with installing the local engine, letting a second model write structured notes out of band, syncing the local database to CMEM Cloud, and then recalling that memory anywhere.Starting Price: Free
