crbro-memory
Related Servers
Alternatives to crbro-memory
- AlicenseAqualityAmaintenanceA local MCP server that gives AI assistants a long-term memory by capturing sessions verbatim and surfacing relevant context automatically.15901MIT
- AlicenseAqualityAmaintenanceHosted memory for AI agents that learns from outcomes, with shared rooms. One key across Claude, Cursor & ChatGPT.6111,427 npm26MIT
- AlicenseAqualityAmaintenanceMulti-modal RAG engine for AI assistants. Stores conversation history, conclusions, diffs, error traces, and other development artifacts in LanceDB with vector search, multi-factor scoring, and an LLM-driven consolidation pipeline.10MIT
Related Servers
- AlicenseAqualityAmaintenanceA fully local MCP server that gives AI agents persistent, semantic long-term memory without any cloud dependencies.1127 npm1MIT
- AlicenseNot gradedqualityDmaintenanceAn MCP server that provides AI agents with persistent, multi-layered memory inspired by the human brain, including consolidation, self-reflection, and generative replay.1MIT
- FlicenseNot gradedqualityDmaintenanceA self-hosted MCP server that gives AI agents persistent, searchable memory with importance scoring, knowledge graphs, and autonomous memory consolidation.1-
- AlicenseNot gradedqualityDmaintenanceA local MCP server that gives AI coding agents persistent memory and context across sessions.12 npmMIT
- FlicenseNot gradedqualityDmaintenanceAn advanced MCP server that gives AI assistants persistent memory with machine-learning-powered semantic understanding, enabling branching memory, semantic search, and project analysis.-
- AlicenseNot gradedqualityCmaintenanceA local-first MCP server that gives AI assistants long-term memory by storing, searching, and recalling notes as Markdown files on your machine.8 npmMIT
TDQS
Scored across 15 tools
Each tool has a clearly distinct purpose, with descriptions explicitly cross-referencing and clarifying boundaries (e.g., connect vs consolidate, learn vs map vs secret). The lifecycle stages (learn, revise, forget) and read vs write operations (inspect vs recall) are sharply delineated, leaving no realistic chance of misselection.
All names share the crbro_ prefix and snake_case convention, which is highly predictable. However, some tools are verbs (learn, recall, connect) while others are nouns (context, map, secret, space), a minor deviation from a strict verb_noun pattern.
15 tools is well-scoped for a memory system covering sessions, CRUD, relationships, credentials, team sharing, and maintenance. Each tool earns its place without redundancy.
The surface provides full lifecycle coverage: creation (learn), reading (recall, inspect), updating (revise), and deletion (forget) for memories, plus session management, system maps, context, credentials, team spaces, and maintenance. No obvious gaps cause agent dead ends.