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CodeMemory — Shared memory for AI coding teams
CodeMemory is the shared memory layer for AI coding teams. Capture decisions, fixes, runbooks, and engineering learnings across agents, repos, and sessions.
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88 % |
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threadctx — see what every coding agent is told
threadctx grades what every AI coding agent is told — AGENTS.md, CLAUDE.md, Cursor rules, Copilot instructions, Gemini and MCP config. Find stale paths, isol...
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87 % |
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Loopmason: see every AI coding agent, share what they learn
Loopmason reads every AI coding agent session across every developer and every tool: see what got built, and let the next session start with what the last on...
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87 % |
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Context for agentic software development | Unblocked
Unblocked gives AI agents trusted context across code, conversations, issues, docs, and production systems so they can complete work correctly.
|
86 % |
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Pluto — Shared Intelligence for AI Coding Agents
Your AI coding agents are smart alone. Pluto makes them brilliant together. Shared memory, real-time coordination, and collective intelligence for developmen...
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86 % |
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mex: project memory for your team’s AI coding agents
Project memory for engineering teams and their AI coding agents, built for multiplayer AI. Lives in your repo. Shared through Git. Open-source CLI is live. H...
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86 % |
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agora | The Context Layer for Software Engineering
AI can generate code. Agora preserves the reasoning, safeguards, and institutional memory behind it for every engineer and agent.
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86 % |
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SessionVault | Shared memory for coding agents
SessionVault gives coding agents shared project memory, handoffs, and a cockpit for keeping agent-built software moving between sessions.
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86 % |
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Memmo — Long-term memory for AI coding agents
Memmo is operational memory for AI coding agents. It turns your repo, agent sessions, docs, and past mistakes into living context — so Claude Code walks in a...
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86 % |
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memsprout — Shared Memories for your team’s AI agents
memsprout is the shared AI-context layer for teams. Each person captures what they know once; Spaces scope it; the MCP server pipes it into Cursor, Claude Co...
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85 % |
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Vesti — The working-memory engine for domain-specific agents
Vesti captures agent conversations across browsers and CLI coding agents, organizes them into structured local memory, and serves recall to any agent through...
|
85 % |
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Allbase — shared memory for every AI agent
Allbase your project. Keep decisions, files, skills, and next steps ready for your agents, and share selected knowledge with your team.
|
85 % |
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FML - Give your agents organizational memory
FML captures AI coding sessions across your team, turns them into reusable context, and injects what matters before the next agent run.
|
85 % |
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Intent Systems — Agents Need A Map
We turn your codebase into structured context so AI agents stop wandering. The Intent Layer gives agents a map — cheaper, faster, better results.
|
85 % |
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SaveContext - Never Lose Context in Your AI Coding Sessions
Open-source MCP server for syncing and managing AI coding sessions. Keep your context across conversations, create checkpoints, and never lose progress.
|
85 % |
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ctxpipe | The AI Engineering context layer for agents
The AI Engineering context layer for agents. A pair programmer for your agents that knows your platform and shows them how things are done. Self-learning kno...
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85 % |
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Turbo - The AI-Native Codebase for Coding Agents
A full-stack TypeScript monorepo with versioned agent memory, task skills, and generated contracts. Next.js, Expo, Hono, Better Auth, and Drizzle - wired for...
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85 % |
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Semanta — the context layer every AI agent shares
The org-owned context layer every AI agent shares. Claude Code, Cursor, and Codex reach one governed, audited MCP endpoint — ask your codebase, get cited ans...
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85 % |
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lcm — persistent memory for AI coding agents
Persistent project memory for AI coding agents. Store every message in SQLite, compact into a DAG, and hand context across sessions and platforms.
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85 % |
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Agentree | Supervise Multiple Coding Agents in One Graph
Supervise multiple coding agents in one graph. Branch from any agent message, run isolated worktrees, and write plain-English workflows for multi-step coding...
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85 % |
Detected social media networks