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Alternatives to Amadeus Memory MCP

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    • A
      license
      Not graded
      quality
      B
      maintenance
      Enables coding agents to keep a local knowledge graph across sessions and checkpoints, restoring project context after tabs or model changes, and to ground every answer with an explicit verdict from the graph. Runs entirely on the user's machine over MCP/stdio or local JSON-RPC with no third-party runtime dependencies.
      13
      Apache 2.0
    • A
      license
      Not graded
      quality
      B
      maintenance
      Enables coding agents and other MCP clients to read and write the same durable facts in a local SQLite memory, searched by embedding plus full text and separated into global and per-repository scopes, with a browser notebook and ZIP backup/migration. Runs over stdio or HTTP, keeping search on-machine and secrets redacted before storage.
      MIT
    • A
      license
      Not graded
      quality
      A
      maintenance
      Serves focused context from a local SQLite structural code graph so agents can find relevant entities and relationships before reading whole files. It also carries recorded project memory and mistakes into later sessions via CLI, hooks, and an authenticated local dashboard.
      28 npm
      MIT
    • A
      license
      Not graded
      quality
      A
      maintenance
      Enables AI coding agents to retrieve focused structural context from a local code graph, inspect relationships, and carry project memory across sessions. It serves this context via MCP to reduce token usage while investigating code before making behavioral claims.
      28 npm
      MIT
    • A
      license
      Not graded
      quality
      B
      maintenance
      Serves a repository's code knowledge graph over stdio (MCP) so coding agents can look up symbols, trace callers and callees, compute blast radius, list file symbols, run hybrid lexical-plus-graph search, and get citation-grounded answers from file:line evidence instead of guessing from text chunks. All tools work offline straight from the graph, with prose synthesis only when an OpenAI-compatible LLM endpoint is configured.
      16
      MIT