brain-mcp
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- FlicenseNot gradedqualityBmaintenanceLocal-first memory for AI coding agents. Indexes your Claude Code, Codex, Cursor, Cline and Gemini CLI history by repo/branch/worktree and hands a context capsule (decisions, touched files, next steps) to the next agent over MCP.-

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AlicenseAqualityAmaintenancePersistent memory for AI agents across Claude Code, Cowork, Codex, Cursor and Hermes Agent. Saves, searches and recalls sessions from a local SQLite store through 40+ MCP tools, with auto-save and auto-load hooks, project tagging and export/import. Also a Hermes Agent memory provider plugin in the official catalog. Free: keyword search, 50 sessions. Pro ($8/mo): semantic search and team memory.33264 PyPI12Business Source 1.1- AlicenseAqualityAmaintenancePersistent memory MCP server for AI coding agents (Claude Code, Codex, Gemini CLI). Hybrid retrieval (vector + BM25), cross-encoder reranking, knowledge graph, session checkpoint/resume, and multi-scope isolation. Local-first with LanceDB.30179 npm15MIT
- AlicenseNot gradedqualityBmaintenanceEnables AI agents to store and recall durable facts, decisions, and lessons over MCP using hybrid semantic and keyword search, typed memories, graph relations, sessions, and time-travel queries. Runs locally with no server process or API key, persisting everything to files that both agents and a CLI can share.14 npmMIT
- AlicenseNot gradedqualityBmaintenancePersistent project memory and task management for AI coding agents through MCP. Lets Claude Code, Cursor, Codex and other MCP clients save decisions and bug fixes, search relevant context, and reuse it across sessions.1MIT
- AlicenseNot gradedqualityBmaintenanceEnables personal AI agents to perceive ambient context, retain episodic memory with decay, act proactively, and route routine decisions through fast System-1 reflexes while escalating ambiguous multi-hop plans to frontier LLMs. Includes reversible execution checkpoints, token budgets, and local-first memory retention, and plugs into MCP clients like Claude Desktop, Cursor, and Windsurf.7MIT
TDQS
Scored across 25 tools
Tools are largely distinct, with clear descriptions differentiating similar ones (e.g., search tools target different sources). Some potential confusion between 'open_threads' and 'unfinished_threads' but descriptions clarify.
All tool names use snake_case and follow a verb_noun or noun phrase pattern consistently. Minor variation in style (e.g., 'brain_stats' vs 'get_conversation') but still very readable.
25 tools is on the high side but appropriate for the broad scope of personal knowledge management (search, stats, analytics, principles, threads, etc.). Each tool earns its place.
Coverage is comprehensive for the stated purpose: searching, retrieving, analyzing, and introspecting on a personal knowledge base. No obvious gaps given the read-heavy, analysis-oriented domain.