Alternatives to Beacon

Compare Beacon alternatives for your business or organization using the curated list below. SourceForge ranks the best alternatives to Beacon in 2026. Compare features, ratings, user reviews, pricing, and more from Beacon competitors and alternatives in order to make an informed decision for your business.

  • 1
    claude-mem

    claude-mem

    cmem.ai

    claude-mem is an offline-first cloud memory for AI agents, built around an open source engine and a cloud sync layer that links agent memory everywhere through one private MCP link. It is designed so coding agents and AI assistants do not start from zero every session, every machine, or every editor. claude-mem takes notes while an agent works, capturing decisions, fixes, dead ends, environment notes, architecture choices, and other structured observations in a temporal database. CMEM Cloud then mirrors that local memory behind a private Model Context Protocol endpoint, allowing any compatible agent or IDE to read and write the same memory across tools such as Claude Code, Cursor, Windsurf, OpenCode, Codex CLI, Gemini CLI, and VS Code. It works locally first, with or without a network, while keeping memory synchronized when cloud access is available.
    Starting Price: Free
  • 2
    EverOS

    EverOS

    EverMind

    EverOS is a persistent memory infrastructure platform for AI agents that provides long-term, multimodal, cross-platform context across agent workflows. The system retrieves relevant memories before model calls, allowing agents to reuse prior context without repeatedly loading large histories into the prompt window. EverOS also includes self-evolving skills, which capture successful execution trajectories as cases and promote recurring patterns into reusable procedural knowledge. The platform can ingest PDFs, images, documents, spreadsheets, slides, Markdown, and URLs and convert them into searchable memory for inference-time retrieval. It supports cloud and self-hosted deployment, exports memories in Markdown, and integrates with tools such as Claude Code, Codex, OpenClaw, Hermes, MCP, and OpenAI- or Anthropic-compatible SDKs. EverOS achieves 93.05% on the LoCoMo long-term memory benchmark (research: arXiv:2601.02163).
    Starting Price: Free
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    Membase

    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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    SenseLab

    SenseLab

    SenseLab

    SenseLab is a cloud-based memory and learning layer for AI agents and agent-driven applications. It provides shared knowledge spaces (“Rooms”) where agents and teams can record, retrieve, and share context across sessions, models, and tools. Agents can store findings, decision context, and outcomes; the service maintains versioned records and uses outcome feedback to adjust confidence in knowledge. SenseLab provides an MCP server and Python and TypeScript SDKs for connecting agent clients and applications through API-key access. Teams can use it to carry context between agents, coordinate work, review decision histories, and retain structured traces for evaluation or model-training workflows. It is intended for developers and organizations building systems with multiple AI agents. The vendor also documents a self-hosting option through its open-source codebase.
    Starting Price: $29/month
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    CMEM Cloud

    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
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    MemMachine

    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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    OpenViking

    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
  • 8
    Hindsight

    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
  • 9
    past.dev

    past.dev

    past.dev

    past.dev is a long-term memory API for developers building AI agents and applications. Applications send timestamped text from conversations, email, meetings, support records, CRM notes, and documents; the service derives memories and returns ranked results with dates and excerpts from the source data. Its API supports ingestion, batch ingestion, recall, deletion, project and identity management, audience-based access controls, and webhooks. Developers can connect through JSON endpoints or authenticated Model Context Protocol servers, and install companion plugins for Claude Code, Codex, Cursor, JetBrains IDEs, and Hermes Agent. The managed cloud service offers a console for API keys, usage, and request logs; enterprise deployments can run in a customer's AWS, Google Cloud, or Azure account. It is aimed at software teams adding persistent, source-grounded memory to AI agents and other applications.
    Starting Price: $99/month
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    Vokal

    Vokal

    Vokal

    Vokal is a collaboration space for teammates and AI agents, built so founders and product teams can run agent work where the team can see it, review it, and reuse what matters. It gives human-agent work a shared place to start, move, stay visible, and become reusable context, instead of leaving agent runs, assumptions, and decisions trapped in private sessions across Claude Code, Codex, Cursor, ChatGPT, or other tools. Vokal connects channels, tasks, docs, files, apps, agents, memory, Knowledge Base, identity, access, runtime, and event logs around the work, helping teams keep output aligned, reviewed, controlled, and reusable. Agents can work in shared channels with named owners, roles, instructions, sources, statuses, permission scopes, app grants, memory scope, local project-file grants, and visible activity. Teams can use pre-built roles for engineering, product, growth, support, operations, research, and customer work, or bring their own local Codex, Claude Code, Hermes, etc.
    Starting Price: $20 per month
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    HQ

    HQ

    Indigo AI

    HQ is the shared AI context layer for teams, giving the whole team and every AI tool one workspace to work from, with knowledge, skills, and workflows compounding in one place, and any agent running on top. It works as an operating system for AI workers over Claude Code, Cursor, Codex, ChatGPT, and Claude chat through MCP, so every teammate and every agent can start from the same shared context instead of separate chat histories, scattered files, and siloed workflows. HQ turns one person’s best work into team infrastructure: any prompt or workflow can become a reusable /command, then /hq-sync ships it to the whole team so anyone can run it in one step. Knowledge that usually lives across decisions, docs, playbooks, policies, projects, code, and ideas accumulates in HQ as the team works, creating one source of truth that every agent can search, reuse, and build on. Agents can be deployed into email and Slack, acting on top of the team’s skills and knowledge with full context.
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    Campfire SMS

    Campfire SMS

    Campfire SMS

    Campfire SMS is a hosted, two-way SMS bridge for developers who use AI coding agents. It connects an agent running in a local session—or a configured cloud agent—to a verified phone number, sending task updates and questions to the user’s regular text inbox and passing replies back to the agent. The service supports MCP-compatible clients, with setup instructions for Codex, Claude Code, Cursor, Grok Build, OpenCode, and Grok Bot. Local agents require the computer and session to remain active; configured Grok Bot routines can run in the cloud while the computer is off. Users can receive build or test completion notices, respond to agent questions, and guide ongoing coding work away from the desk. SMS delivery uses a hosted account and message credits; the agent’s own model, tools, and task execution remain in the agent environment.
    Starting Price: $5 one-time
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    LangMem

    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.
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    Memmy

    Memmy

    Memmy

    Memmy is a local-first AI memory layer that lets every AI tool remember the same version of you. Built for people who work with several assistants every day, it automatically reads authorized collaboration history from tools such as Cursor, Claude, and Codex, then turns scattered conversations, preferences, project context, technical decisions, progress, and recurring pitfalls into structured memory. Its workflow has three stages: Scan reviews selected histories on the user’s device; Organize distills, deduplicates, categorizes, and indexes useful information; and Inject gives the active AI only the most relevant memories through precise, on-demand matching instead of sending a complete data dump. This allows users to switch tools without rebuilding context, merge plans discussed across agents, document recent decisions, preserve writing preferences, and continue unfinished work.
    Starting Price: Free
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    Vibe Island

    Vibe Island

    Vibe Island

    Vibe Island is a macOS notch panel for AI coding agents. It tracks sessions from 26 agents - Claude Code, Codex, Gemini CLI, Cursor, OpenCode, Kimi Code, DeepSeek, Copilot, and more - in one place, with real-time status, per-agent brand colors, and one-click precise jump to the exact terminal tab, split pane, or VS Code window where each session runs (20+ terminals supported, tmux included). Built for developers running several agents in parallel, it also shows remaining usage quota for Claude, Codex, Kimi, GLM, and DeepSeek subscriptions with live reset countdowns, and lets you approve permissions, answer agent questions, and review plans without leaving the notch. Works with local sessions and remote servers over SSH. Native Swift, no Electron, under 100 MB RAM. Free trial, then a one-time purchase - no subscription.
    Starting Price: $19.99 one-time
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    Spawn

    Spawn

    OpenRouter

    Spawn is an experimental OpenRouter tool for deploying AI coding agents on your own infrastructure with a single command. Pick an agent, choose a cloud, and Spawn provisions a virtual machine, installs the agent and its dependencies, authenticates to OpenRouter and the cloud using a CLI OAuth flow, configures endpoints and model routing, and then opens an SSH session so you can start working. Each agent-and-cloud combination is implemented as a self-contained script, avoiding Terraform and YAML while keeping deployment portable. Supported agents include Claude Code, OpenClaw, Codex CLI, OpenCode, Kilo Code, Hermes Agent, Junie, Pi, Cursor CLI, and T3 Code, making it easy to explore coding-agent workflows or switch between them with one command. Spawn supports cloud environments such as DigitalOcean, Sprite, Hetzner Cloud, AWS Lightsail, GCP Compute Engine, and Daytona, as well as a local machine or a throwaway local Docker sandbox.
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    antgrid

    antgrid

    Radha AI Products

    Antgrid is a desktop workspace for developers who run coding-agent command-line tools across one or more computers. It collects agent sessions in a single interface and can connect sessions on a remote machine when remote access is enabled. Developers can inspect agent changes, review and commit work, and use the Android app to reach sessions away from their workstation. Antgrid launches locally installed agent CLIs, including Claude Code, Codex, OpenCode, Cursor, GitHub Copilot, Google Antigravity, Kilo Code, Kimi Code CLI and Mistral Vibe; each agent uses its own configuration and tools. Its Handler feature can manage follow-up steps in long-running sessions, request evidence of completed work, and surface questions for the developer. Antgrid also provides encrypted device-to-device traffic through a relay service. Desktop builds are available for Windows, macOS on Apple silicon and Linux, with a mobile app for Android.
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    Orca

    Orca

    Stably AI

    Orca is a desktop environment for developers coordinating AI coding agents across software projects. It organizes work in isolated Git worktrees, allowing agents to tackle separate tasks or try the same task in parallel. Each workspace combines an agent terminal with code editing, browser access, and tools to inspect diffs, review changes, and commit or push work. Orca supports command-line agents such as Claude Code, Codex, Cursor CLI, and OpenCode, and can connect work to code repositories and issue-tracking tools. Developers can run agents locally or on remote machines, organize work into sessions, and use a mobile companion to monitor sessions away from the desktop. A command-line interface supports workspace and agent-task automation. Orca is designed for developers working with code and Git who want to supervise multiple AI-assisted coding tasks; it is a desktop application rather than a hosted coding service.
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    ByteRover

    ByteRover

    ByteRover

    ByteRover is a self-improving memory layer for AI coding agents that unifies the creation, retrieval, and sharing of “vibe-coding” memories across projects and teams. Designed for dynamic AI-assisted development, it integrates into any AI IDE via the Memory Compatibility Protocol (MCP) extension, enabling agents to automatically save and recall context without altering existing workflows. It provides instant IDE integration, automated memory auto-save and recall, intuitive memory management (create, edit, delete, and prioritize memories), and team-wide intelligence sharing to enforce consistent coding standards. These capabilities let developer teams of all sizes maximize AI coding efficiency, eliminate repetitive training, and maintain a centralized, searchable memory store. Install ByteRover’s extension in your IDE to start capturing and leveraging agent memory across projects in seconds.
    Starting Price: $19.99 per month
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    OpenCode

    OpenCode

    Anomaly Innovations

    OpenCode is the AI coding agent purpose-built for the terminal. It delivers a responsive, themeable terminal UI that feels native while streamlining your workflow. With LSP auto-loading, it ensures the right language servers are always available for accurate, context-aware coding support. Developers can spin up multiple AI agents in parallel sessions on the same project, maximizing productivity. Shareable links make it easy to reference, debug, or collaborate across sessions. Supporting Claude Pro and 75+ LLM providers via Models.dev, OpenCode gives you full freedom to choose your coding companion.
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    OpenChiip Harness
    OpenChiip Harness is a self-hosted AI agent runtime and orchestration framework for developers building local or coordinated agent workflows. It combines LLM conversations, skill orchestration, tool execution, multi-layer memory, resource monitoring, and multi-agent collaboration in a React administration dashboard. Run it as a local service or connect it to the OpenChiip platform for collaborative scheduling. Its CLI, web dashboard, HTTP API, and WebSocket interface support chat, tools, sessions, memory, task management, and monitoring. It supports Baidu ERNIE, OpenAI-compatible model providers, and delegation to Codex or Claude Code. Install via pip or deploy with Docker, Linux packages, systemd, or Windows installers; macOS supports pip installation. Licensed under AIGCGPL-1.0.
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    PlatformPilot
    PlatformPilot is a company brain for AI-first teams. It captures how your company actually works, your decisions, playbooks, and tribal knowledge, and turns it into a living memory your team and your AI agents can use to answer questions and take action across all your tools. Unlike search tools that only retrieve, PlatformPilot reasons across your systems, shows the why behind every answer, and acts on your own playbooks, in your own cloud, getting sharper every time it is used. It connects to your stack through the Model Context Protocol (MCP), so it works as a shared memory layer inside the tools your team already uses, including Claude Code, Claude Desktop, and OpenAI-based agents. Memory evolves as you work. - Living memory that learns from outcomes, not just stores notes - Reasoning across all your tools. We support +200 tools. - Plain-language search over your team's decisions, playbooks, and history - Self-organizing knowledge
    Starting Price: $100
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    Briefkin

    Briefkin

    Briefkin

    Briefkin is a cloud dashboard for monitoring AI coding agents and automation jobs. It collects progress updates, completed work, blockers, decisions and metrics from tools such as Claude Code, Codex, Cursor, OpenCode and Gemini CLI, as well as scripts and cron jobs, and organizes them into project cards. Live task checklists and status updates help developers follow work across sessions, while action requests can be answered from the dashboard or through Telegram alerts. Users can send structured events through a documented HTTP API, create custom widgets, view metric trends, and run scheduled routines on their own computers with their chosen agents. A command-line installer configures supported agents, skills and hooks. Briefkin is aimed at developers and independent makers coordinating multiple agents and automations. The hosted service is free during its open beta.
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    Letta

    Letta

    Letta

    Create, deploy, and manage your agents at scale with Letta. Build production applications backed by agent microservices with REST APIs. Letta adds memory to your LLM services to give them advanced reasoning capabilities and transparent long-term memory (powered by MemGPT). We believe that programming agents start with programming memory. Built by the researchers behind MemGPT, introduces self-managed memory for LLMs. Expose the entire sequence of tool calls, reasoning, and decisions that explain agent outputs, right from Letta's Agent Development Environment (ADE). Most systems are built on frameworks that stop at prototyping. Letta' is built by systems engineers for production at scale so the agents you create can increase in utility over time. Interrogate the system, debug your agents, and fine-tune their outputs, all without succumbing to black box services built by Closed AI megacorps.
    Starting Price: Free
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    SuperBased

    SuperBased

    SuperBased

    SuperBased is a local-first control plane for AI coding agents that lets developers see, control, and right-size agent activity from one binary running on their own machine. It reads native session data from 40 coding tools without requiring a proxy, SDK rewrite, or special configuration, supporting agents such as Claude Code, Codex, Cursor, GitHub Copilot, OpenCode, Gemini CLI, Kilo Code, Qwen Code, Aider, Devin, and others. The dashboard tracks provider-reported token usage, cache reads and writes, costs, sessions, and projected next-message spend across tools that normally keep their data separate. Developers can also launch more than 20 CLI agents as terminal sessions, monitor several repositories from one screen, attach to a running agent, take over the keyboard, and hand control back when needed. Model routing helps teams match tasks to appropriate models, while egress gates can hold commands before execution so users can stop or redirect costly or risky actions.
    Starting Price: $0.90 per month
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    OpenMemory

    OpenMemory

    OpenMemory

    OpenMemory is a Chrome extension that adds a universal memory layer to browser-based AI tools, capturing context from your interactions with ChatGPT, Claude, Perplexity and more so every AI picks up right where you left off. It auto-loads your preferences, project setups, progress notes, and custom instructions across sessions and platforms, enriching prompts with context-rich snippets to deliver more personalized, relevant responses. With one-click sync from ChatGPT, you preserve existing memories and make them available everywhere, while granular controls let you view, edit, or disable memories for specific tools or sessions. Designed as a lightweight, secure extension, it ensures seamless cross-device synchronization, integrates with major AI chat interfaces via a simple toolbar, and offers workflow templates for use cases like code reviews, research note-taking, and creative brainstorming.
    Starting Price: $19 per month
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    AI Usage Tracker

    AI Usage Tracker

    AI Usage Tracker

    AI Usage Tracker is a native macOS utility for people who monitor AI coding tools and local-model activity while working. It displays supported account limits, reset times, and agent activity in a compact notch that can sit along the top, bottom, left, or right edge of the screen. Users can review session and weekly usage, receive reset notifications, and select a tracked session to return to work when an agent needs attention. The app supports Claude, Codex, Cursor, Gemini, OpenCode, Kimi, Ollama, and LM Studio; available readings vary by provider and account. For supported local models, it can show context use and generation speed, and separate work and personal profiles can be configured for some services. The installed Mac app requires macOS 15 or later and runs on Apple silicon or Intel Macs.
    Starting Price: $9.99 one-time purchase
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    HeyBrain

    HeyBrain

    HeyBrain

    HeyBrain is an AI-powered knowledge management platform that helps organizations centralize company information and make it accessible to employees and AI agents. The platform provides a shared knowledge layer for organizing documents, project context, business decisions, and reusable instructions. Its AI memory capabilities allow compatible AI assistants to retrieve relevant information across conversations and workflows without repeatedly providing the same background. HeyBrain supports document uploads, knowledge connections with Google Drive and Notion, and integration with AI tools through the Model Context Protocol (MCP). Its governance capabilities help organizations manage access to shared information, define agent permissions, and review source evidence behind AI-generated answers. The platform is designed to support enterprise knowledge retrieval, AI agent development, team collaboration, and secure information sharing across business applications.
    Starting Price: $30/month
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    MemPalace

    MemPalace

    MemPalace

    MemPalace is a local-first storage and retrieval system for AI workflows, built to give AI a memory while keeping the user’s words under their own control. It stores conversations verbatim instead of reducing them to summaries, then organizes that memory into a navigable “palace” structure inspired by the ancient memory palace technique. Conversations can be arranged into wings for people, projects, or topics, with rooms and drawers used to make information easier to locate, narrow, and retrieve later. It is designed for people who believe their words are theirs, with local-first storage, zero telemetry, and a privacy-focused approach that keeps memory on the user’s machine. MemPalace supports AI workflows through MCP tooling, including tools for palace reads and writes, knowledge-graph operations, cross-wing navigation, drawer management, and agent diaries.
    Starting Price: Free
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    MemClaw

    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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    Memory AGI

    Memory AGI

    Memory AGI

    Memory AGI is a runtime memory layer for AI agents, built around the idea of giving agents real muscle memory. Hand over a slice of company data, and Memory AGI builds the organization’s knowledge and runtime memory layer, grounds agents in the business, and keeps that context current automatically. Your AI is only as good as the context you give it; without it, agents stay stuck at an intern-level, guessing at how the company runs. Memory AGI turns processes into knowledge agents that can actually execute, so they run reliably, show their work, and can be trusted with what they ship. It is built on three layers of muscle memory. Dynamic Ingestion captures and structures the company’s unique knowledge from voice notes, internal documents, or the tools where data already lives. The Runtime Memory Layer gives agents access to a live, de-duplicated context layer; a company knowledge base that humans, agents, and automations can all draw on to perform tasks like the best employees.
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    Beacon Platform

    Beacon Platform

    Beacon Platform

    Beacon Core is an end-to-end platform designed to supercharge developer productivity. Beacon Core includes enterprise-scale elastic cloud infrastructure, a modern data warehouse, collaborative developer tools, automation services, and a robust and controlled production environment. Once satisfied with the new feature, the developer releases the feature to production with Beacon’s controls workflow. All source code is categorized, with different controls attached to different categories, so that new features that do not affect risk can be released intraday. Beacon’s controls workflow was forged in global investment banks to foster innovation within a highly regulated and tightly controlled environment. We help you customize Beacon’s workflow to balance the opportunities and risks between innovation and controls. Automate manual tasks with user-friendly batch job scheduler, so that you can focus on adding value to the business.
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    Papr

    Papr

    Papr.ai

    Papr is an AI-native memory and context intelligence platform that provides a predictive memory layer combining vector embeddings with a knowledge graph through a single API, enabling AI systems to store, connect, and retrieve context across conversations, documents, and structured data with high precision. It lets developers add production-ready memory to AI agents and apps with minimal code, maintaining context across interactions and powering assistants that remember user history and preferences. Papr supports ingestion of diverse data including chat, documents, PDFs, and tool data, automatically extracting entities and relationships to build a dynamic memory graph that improves retrieval accuracy and anticipates needs via predictive caching, delivering low latency and state-of-the-art retrieval performance. Papr’s hybrid architecture supports natural language search and GraphQL queries, secure multi-tenant access controls, and dual memory types for user personalization.
    Starting Price: $20 per month
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    MaxHermes

    MaxHermes

    MiniMax

    MaxHermes is MiniMax’s cloud-hosted AI assistant built on Hermes Agent and powered by MiniMax M2.7, designed as a self-evolving agent that grows with the user. It removes the technical setup required by self-hosted agents, so users can start a personal AI agent in the cloud without configuring servers, Docker, API keys, or local environments. MaxHermes is always online, can go live in about 10 seconds, and runs 24/7 in the cloud, making it suitable for long-running tasks, scheduled monitoring, recurring workflows, and real-time assistance through everyday chat tools. Its defining feature is self-evolving intelligence: after completing complex tasks, MaxHermes can identify reusable patterns, extract them into new skills, and use those skills in future sessions so it becomes more aligned with the user’s habits, projects, and workflows over time. Each completion of a complex task can unlock a brand-new skill, turning work history into procedural memory rather than disposable chat history.
    Starting Price: $200 per month
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    Membase

    Membase

    Unibase

    Membase is a long-term memory service for people and developers building AI agents. It brings information from conversations, files, web pages and connected apps into a persistent memory that users can review, correct, delete and export. A web app and Chrome extension let users manage memories, save browser content and share selected information with supported AI tools. Developers connect custom agents through MCP, the REST API, command-line interface, or Python and TypeScript SDKs. Separate memories and access controls support personal, project and client contexts, with controls to grant or revoke access. The hosted service stores and processes source content to build and retrieve memory.
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    bb

    bb

    bb

    bb is a local-first, fully customizable IDE for working with AI coding agents, designed to control, automate, and even modify itself. Almost anything in the environment can be changed with a single prompt: users can add panels, CLI commands, skills, plugins, and workflows that immediately become available to their agents. Many of bb’s own capabilities, including GitHub integration, agent memory, scheduled jobs, and remote access, are built as plugins using the same tools available to users. Its CLI is open to external programs such as shell scripts, cron jobs, or bots in Telegram, Signal, and Slack, allowing them to spawn work threads that remain available in the sidebar. bb supports multiple coding agents, including Claude Code, Codex, Cursor, Pi, OpenCode, Grok, omp, and Hermes, letting users assign tasks to the best-suited agent or have one agent spawn and manage another in separate threads. Work runs on the user’s own machine and can continue independently until they return.
    Starting Price: Free
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    Graphify

    Graphify

    Graphify

    Graphify is an open source knowledge graph engine that turns any input, including code, docs, papers, meetings, images, browser tabs, and commits, into one traversable graph with complete recall. It is built as persistent memory for AI coding assistants, giving tools like Claude Code, Codex, OpenCode, Cursor, Gemini CLI, GitHub Copilot CLI, Aider, Factory Droid, Kimi Code, Kiro, Pi, and Google Antigravity a queryable understanding of a project instead of making them repeatedly grep through files. Users can point Graphify at any directory, and it builds an initial corpus through AST extraction, semantic analysis, and Leiden clustering, transforming an entire codebase or document corpus into a graph in one pass. Unlike RAG pipelines that re-embed everything on every change, Graphify maintains a living graph that updates only affected nodes and edges when files change, allowing the rest of the corpus to stay intact even at enterprise scale.
    Starting Price: Free
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    Find My Stuff

    Find My Stuff

    Open Media

    iBeacon’s can be used to track valuable assets. By simply attaching a Beacon to every important asset you would like to track, such a valuable piece of hospital or laboratory equipment. You can identify and monitor its location in real-time and know how often it is being used, by whom, and when. Businesses that deal with a constant flow of incoming and outgoing fleets of vehicles or equipment can utilize beacons to maintain real-time inventory control, tracking arriving and departing assets moving throughout a yard. Administrators will be able to track exactly when an asset has been moved, returned, and by whom, streamlining activity within a housing facility. Any business that uses reusable containers, boxes, bags, crates, shipping pallets, etc. can benefit substantially from iBeacon technology. Beacons placed in transport hubs could be used to push value-added services such as transfer or car hire information to passengers.
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    Agent Teams

    Agent Teams

    MB Skydis

    Agent Teams is a hosted AI-agent workspace for solo founders and early-stage startups. Users can create a lead agent and specialist agents for product, growth, and operations, then coordinate work through shared tasks, files, and messages. Hosted agents can use persistent files and memory, browser access, tools, and schedules to handle ongoing work beyond a single browser session. The shared workspace lets users review agent conversations and activity and collaborate with invited colleagues. Agent Teams supports Hermes and OpenClaw workers, model and tool choices, and connectors for WhatsApp, Telegram, and Slack. Compatible AI clients, including Codex, Cursor, and Claude Code, can connect through supported reporting or MCP tools. The service is designed for startup teams coordinating AI-assisted product, growth, and operational work.
    Starting Price: $199/month
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    port22

    port22

    port22

    port22 puts your coding agents in your pocket. Run the agent, pair your iPhone, and drive Claude Code, Codex, or OpenCode from anywhere while reading the live transcript and approving actions as the agent works. It attaches to the session already running in your terminal rather than starting or forking a new one, so you can continue working with the same live process you began at your desk. Every token is streamed to your phone as the agent thinks, edits, and runs, while push notifications arrive when it finishes or needs your approval. Live status remains visible through the Dynamic Island and lock screen, so you can follow every active session without repeatedly opening the app. port22 works over your local network at your desk and automatically switches to an end-to-end encrypted relay when you leave Wi-Fi, keeping the same session over cellular.
    Starting Price: Free
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    Maximem

    Maximem

    Maximem

    Maximem is an AI context management and memory platform designed to give generative AI systems a persistent, secure memory layer that retains and organizes information across conversations, applications, and models. Large language models typically operate with limited session memory, meaning they lose context between interactions and require users to repeatedly provide the same background information. Maximem addresses this limitation by creating a private memory vault that stores relevant context, preferences, historical data, and workflow information so AI systems can reference it in future interactions. It operates between AI models and applications, ensuring that conversations, knowledge, and user data are consistently available across different tools and sessions. This persistent memory allows AI assistants to deliver responses that are more personalized, accurate, and context-aware because the system can retrieve previously stored information.
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    AgentSky

    AgentSky

    AgentSky

    AgentSky is a managed agent-as-a-service platform for launching long-lived, always-on AI agents in the cloud with no Mac mini, setup, or infrastructure to manage. Users can choose an agent harness such as Claude Code, Codex, Hermes, or OpenClaw, pair it with a supported model, add capabilities, and launch in one click. Agents can be reached through WhatsApp, iMessage, Telegram, Slack, Discord, web chat, the A2A protocol, and the CLI, with the same history, tools, and state following them across channels. Local Claude Code, Codex, or OpenClaw setups can be cloned to the cloud while preserving instructions, model configuration, and MCP servers without copying secrets, API keys, or session history. Every agent runs as a managed worker with durable state, continuous history, snapshots, backups, restore, and an isolated sandbox that boots with only the attached tools.
    Starting Price: $3 per month
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    ClawTab

    ClawTab

    ClawTab

    ClawTab manages Claude Code, Codex, OpenCode and shell jobs in durable tmux sessions. A headless daemon handles schedules, agent status, task titles, question detection, notifications and remote connections even when the desktop app is closed. Use the terminal tools, tmux plugin or macOS desktop app to manage agents. Open the same live sessions from iPhone, iPad or the web to follow output, answer questions and start work on your Mac or a paired Linux host. The apps and local tools are free and MIT licensed. Self-host the relay for free or use hosted Remote for $4.99 per month.
    Starting Price: $4.99/month; local tools free
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    Engram

    Engram

    Weaviate

    Engram is a fully managed memory and context service purpose-built to help AI agents remember, learn, and improve over time. Instead of treating memory as an ever-growing pile of raw conversations and events, it turns noisy interaction data into structured, durable, and evolving memories. Applications can send raw text, complete conversations, or pre-extracted facts through a REST API or Python SDK without preprocessing. Engram then runs asynchronous pipelines that extract relevant information, transform it by deduplicating and reconciling it with existing knowledge, and commit a clean memory state without blocking the application’s main workflow. It resolves inconsistencies, adapts to changing preferences and time-evolving facts, and keeps context relevant and efficient. Agents can retrieve ranked memories in real time through vector similarity, BM25 keyword search, or hybrid retrieval, reducing the need to resend entire conversation histories.
    Starting Price: $45 per month
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    ChatBeacon

    ChatBeacon

    SmartMax Software, Inc.

    ChatBeacon is a live chat and conversational AI platform for customer service and sales, developed by SmartMax Software, Inc. Connect with customers through live chat, SMS, co-browsing, and video, with guided chatbots and workflow automation to support your team. Keep conversations fully human, give operators AI assistance, or introduce customer-facing AI at your own pace. Aria AI agents answer routine questions; AI Escalation brings in a live operator with conversation context. Cue helps operators find relevant answers, while Recall CRM brings forward information from earlier interactions. Choose Cloud, Dedicated Private Cloud, or On-Premise deployment to fit your organization's requirements. ChatBeacon serves businesses, financial institutions, government agencies, and support teams across industries, with U.S.-based product support and dedicated account management for every customer. No per-AI-resolution fees.
    Starting Price: $39/operator/mo
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    ADE

    ADE

    ADE

    ADE is an agentic development environment for software developers who use AI coding agents with Git repositories. It organizes parallel tasks in isolated Git worktrees and combines agent chat, multi-agent sessions, terminals, file editing, testing, browser-based QA, automation, and pull-request review in one workspace. Desktop, browser, terminal, and iOS clients sync project activity through an ADE Brain running on a machine you control; Linux can host the Brain without a Linux desktop app. ADE supports Claude Code, Codex, Cursor, Factory Droid, and OpenCode, and connects to GitHub and Linear for pull requests and issue workflows. Developers can review changes, inspect test results, and continue work across devices.
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    OpenComputer

    OpenComputer

    OpenComputer

    OpenComputer is a managed cloud runtime for building and deploying TypeScript AI agents. Developers define agent behavior, select models and tools, and deploy agents with durable sessions, streaming, schedules, memory and versioned environments. APIs and service connections let teams use agents in applications and workflows such as coding assistance and background automation.
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    omp

    omp

    omp

    omp is an open source AI coding agent and development harness that provides developers with a powerful local environment for AI-assisted engineering. It connects AI models directly to IDE capabilities, debugging tools, code execution, language servers, browser automation, memory, and dozens of built-in development tools. It supports more than 40 AI providers while allowing developers to use a single interface across cloud and local language models. omp enhances coding performance with features such as intelligent code editing, parallel subagents, persistent execution environments, integrated debugging, and advanced code review workflows. It also includes collaborative sessions, local memory, workflow automation, browser control, and GitHub integration to streamline complex software development tasks. Built with a native Rust engine and designed for Windows, macOS, and Linux, omp helps developers build, debug, and maintain software.
    Starting Price: Free
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    Preloop

    Preloop

    Preloop

    Preloop is the open source AI agent control plane for agents that take real actions. It combines an MCP firewall for tool access, an AI model gateway for cost, safety, and attribution, policy-as-code with human approvals, runtime session observability, and audit trails in a single self-hostable platform. AI agents can deploy code, change infrastructure, move money, touch production data, and burn model spend in seconds, so Preloop helps teams control what agents can do, how much they spend, and which actions require human approval. It works with OpenClaw, Hermes, Claude Code, Codex CLI, Cursor, Gemini CLI, Windsurf, Cline, OpenCode, and any MCP-compatible agent or managed runtime. Access rules can inspect arguments and context, not just tool names, with CEL expressions for fine-grained conditions. Teams can start with observability, then layer in approvals and deny rules without SDKs or invasive app changes.
    Starting Price: $290 per month
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    BeaconFind

    BeaconFind

    BeaconFind

    BeaconFind is AI file search for Windows that runs entirely on your own machine. Press Ctrl+K and describe a file the way you would to a colleague, and it finds the document even when you cannot recall its name: "the rental contract with the deposit" finds scan0047.pdf. Ordinary search matches literal keywords, so "salary" misses a payslip that says "compensation", and a scanned PDF has no text to match at all. BeaconFind indexes what files are about. It reads 70+ file types including PDF, Word, Excel, PowerPoint, code and email, matches across 50+ languages so an English search finds a German document, and uses OCR to read text inside screenshots and scans. It also answers questions about your documents with citations and finds duplicates. Every AI model runs locally. Files, their contents, your searches and the index stay on the machine, and there is no telemetry. Only a licence check and an update check reach our server, and both can be firewalled.
    Starting Price: $29 one-time