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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2
IBM Instana
IBM
IBM Instana is the gold standard of incident prevention with automated full-stack visibility, 1-second granularity and 3 seconds to notify. With today’s highly dynamic and complex cloud environments, the average cost of an hour of downtime can reach six figures and beyond. Traditional application performance monitoring (APM) tools simply aren’t fast enough to keep up or thorough enough to contextualize the issues identified. Also, they are typically limited to super users who must complete months of training to learn. IBM Instana Observability goes beyond traditional APM solutions by democratizing observability so anyone across DevOps, SRE, platform engineering, ITOps and development can get the data they want with the context they need. Instana Dynamic APM operates using the Instana agent architecture, which incorporates sensors—lightweight, automated programs tailored to monitor specific entities.Starting Price: $75 per month -
3
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 -
4
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 -
5
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 -
6
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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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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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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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 -
12
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 -
13
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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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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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
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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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: $17 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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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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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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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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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 -
25
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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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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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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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 -
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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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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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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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Floatboat
Floatboat
Floatboat is an agent-native AI workspace built specifically for one-person companies, designed to learn how you operate and transform that knowledge into a fully functional personal AI team. Instead of acting as a simple chatbot, it observes how you run your business and converts repeatable tasks into reusable workflows, allowing you to automate operations without complex setup or constant prompting. It serves as a centralized workspace where your files, browser, and tools are connected in one place, integrating with over 3,500 applications so you can coordinate tasks and data seamlessly across systems. Floatboat introduces the concept of “Combo Skills,” which packages multi-step processes into reusable execution flows, enabling a single user to handle work typically done by multiple roles. Its agent-based system expands from a simple chat interface into a modular workspace that adapts as your needs grow, supporting everything from planning and research to execution.Starting Price: $33.98 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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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 -
38
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. -
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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 -
40
GLM-4.7-Flash
Z.ai
GLM-4.7 Flash is a lightweight variant of GLM-4.7, Z.ai’s flagship large language model designed for advanced coding, reasoning, and multi-step task execution with strong agentic performance and a very large context window. It is an MoE-based model optimized for efficient inference that balances performance and resource use, enabling deployment on local machines with moderate memory requirements while maintaining deep reasoning, coding, and agentic task abilities. GLM-4.7 itself advances over earlier generations with enhanced programming capabilities, stable multi-step reasoning, context preservation across turns, and improved tool-calling workflows, and supports very long context lengths (up to ~200 K tokens) for complex tasks that span large inputs or outputs. The Flash variant retains many of these strengths in a smaller footprint, offering competitive benchmark performance in coding and reasoning tasks for models in its size class.Starting Price: Free -
41
Acontext
MemoDB
Acontext is a context platform for AI agents. It stores multi-modal messages/artifacts, monitors agents' task status, and runs a Store → Observe → Learn → Act loop that identifies successful execution patterns, so autonomous agents can act smarter and succeed more over time. Developer Benefits: Less Tedious Work: Store multi-modal context and artifacts in one place by integrating all context data without configuring Postgres, S3, or Redis, and it only requires a few lines of code. Acontext handles repetitive, time-consuming configuration tasks, so developers don’t have to. Self-Evolving Agents: Similar to Claude Skills, which require predefined rules, Acontext allows agents to automatically learn from past interactions, reducing the need for constant manual updates and tuning. Easy Deployment: Open-source, one-command setup, One-line install. Ultimate Value: Improve agent success rates and reduce running steps, then save costs.Starting Price: Free -
42
OpenAgents
OpenAgents
OpenAgents is an open source framework and platform for building, connecting, and deploying networks of AI agents that can discover, communicate, collaborate, and solve problems together rather than operating in isolation, enabling developers to launch and join agent communities that work at scale and share resources seamlessly. It provides infrastructure for AI agent networks where each network acts as a self-contained community with peer discovery, message passing, and coordinated collaboration over flexible protocols such as HTTP, WebSocket, and gRPC, and is designed to be protocol-agnostic and compatible with popular large language model providers and agent frameworks to support diverse deployment scenarios. Users can build their own agents with simple configurations or integrate custom logic and tools, connect them to one or more networks, and manage interactions using OpenAgents’ standard interfaces.Starting Price: Free -
43
OpenAI Frontier
OpenAI
OpenAI Frontier is a new enterprise AI agent platform that helps businesses build, deploy, manage, and orchestrate fleets of AI agents that can perform real work inside existing systems, workflows, and data environments. It provides a unified framework where organizations can integrate AI agents, whether created by OpenAI or third parties, connect them with internal tools like CRM, data warehouses, ticketing systems, and other enterprise applications, and give them shared context, permissions, memory, and oversight so they can act reliably on business-relevant tasks. Frontier’s goal is to move AI agents from isolated pilots into production by providing features like shared business context, governance controls, onboarding workflows, observability, and secure access boundaries while allowing companies to centralize and scale intelligent automation in a way similar to how HR systems manage human work. -
44
HUMA
Humalike
HUMA is a platform focused on building humanlike social AI agents designed to participate naturally in group environments such as Discord, Slack, games, classrooms, and collaborative workspaces. HUMA enables agents to exhibit social intelligence by understanding who to respond to, when to engage, and how to communicate in a way that feels natural within a group dynamic. Unlike traditional AI systems that respond instantly and indiscriminately, Humalike agents are designed to read the room, manage timing, and adapt their behavior based on context, allowing them to act as true participants rather than chatbots. It emphasizes natural interaction patterns, including interruptions, pacing, and voice or text cues, making conversations feel more fluid and humanlike. It supports a wide range of applications, from AI teammates in gaming and coworkers in professional environments to NPCs with memory and personality. -
45
LangMem
LangChain
LangMem is a lightweight, flexible Python SDK from LangChain that equips AI agents with long-term memory capabilities, enabling them to extract, store, update, and retrieve meaningful information from past interactions to become smarter and more personalized over time. It supports three memory types and offers both hot-path tools for real-time memory management and background consolidation for efficient updates beyond active sessions. Through a storage-agnostic core API, LangMem integrates seamlessly with any backend and offers native compatibility with LangGraph’s long-term memory store, while also allowing type-safe memory consolidation using schemas defined in Pydantic. Developers can incorporate memory tools into agents using simple primitives to enable seamless memory creation, retrieval, and prompt optimization within conversational flows. -
46
Clawd.run
Clawd.run
Clawd.run is a platform to build and deploy AI agents that can perform real tasks using large language models like Claude, GPT-4, Grok, or Gemini, combining web search, memory, file analysis, and automation into customizable assistants. Users can create agents with defined personalities and purposes, connect them to messaging channels such as Discord, WhatsApp, or the platform’s web chat, and start interacting in minutes without needing extensive infrastructure. Agents on Clawd.run have private data storage, don’t train on your conversations, and remember past interactions to become more helpful over time while offering advanced capabilities like research synthesis, content generation, and data extraction from documents. It provides simple setup steps (name the agent, link the channel, start chatting), supports file uploads for insight extraction, and lets users assign tasks as if the agent were an assistant that can help research, write, code, and analyze.Starting Price: $29 per month -
47
Asimov
Reflection AI
Asimov is a code research agent that understands and works with complex enterprise codebases. Rather than focusing on code generation, it prioritizes codebase comprehension, a task that consumes up to 70% of developers’ time, by mapping relationships between code, architecture, and team decisions; maintaining institutional knowledge as engineers join and leave; and learning organically from team interactions and documentation. It indexes your entire development environment, including code repositories, architecture docs, GitHub threads, and Teams conversations, to build a persistent, cross‑cutting understanding of systems and to maintain context across architectural changes and team transitions. By using expanded context windows instead of traditional retrieval methods, Asimov can dynamically reference any part of a codebase during reasoning, enabling more accurate synthesis across disparate components. -
48
TruGen AI
TruGen AI
TruGen AI transforms conversational agents into fully immersive, human-like video agents that can see, hear, respond, and act in real time, offering hyper-realistic avatars with expressive faces, eye contact, and natural body/face animations. These agents are powered by two core models: a video-avatar model that generates real-time, high-fidelity facial animation, and a vision model that enables context- and emotion-aware interaction (e.g., face recognition, action detection). Through a developer-first, API-based platform, you can embed these video agents into websites or apps in just a few lines of code. Once deployed, agents respond with sub-second latency, carry conversational memory, integrate with a knowledge base, and can call custom APIs or tools, allowing them to deliver context-aware, brand-consistent responses or execute actions rather than just chat.Starting Price: $28 per month -
49
Deep Code
Chongqing Parsec Technology Co., Ltd.
Deep Code is a VS Code extension that embeds a full AI coding agent directly into your sidebar. It goes beyond simple chat to handle real development workflows. Key capabilities include project-level persistent sessions that retain context across days, file read/write and command execution for tasks like code understanding, documentation, and task continuity. The Skills system lets you codify team workflows into reusable capabilities. It also supports OpenAI-compatible models for flexible integration. Designed for developers who want an AI that doesn’t just answer questions, but collaborates across the entire development lifecycle without leaving VS Code.Starting Price: $0 -
50
Tobira
Tobira
Tobira is an AI agent networking platform that enables autonomous agents to discover, communicate, and collaborate with one another through a shared infrastructure designed for structured interaction and task execution. It introduces a system where agents can have unique addresses, similar to email, allowing them to be identified, contacted, and coordinated across different workflows and environments. It includes a public or semi-public memory layer that agents can use to store and expose relevant information, enabling better context sharing and more intelligent interactions between agents. Tobira functions as a matchmaking and discovery layer, surfacing relevant agents, opportunities, or tasks based on structured data and defined capabilities, effectively connecting demand with execution in an automated way. By acting as a communication protocol and coordination layer, it allows agents to operate beyond isolated tasks, forming networks that can collaborate and exchange data.Starting Price: Free
