consolidation-memory

charliee1w/consolidation-memory
★ 5 stars Python AI/LLM Updated today
Local-first persistent memory for AI agents — store, recall, and consolidate knowledge across sessions using FAISS, SQLite, and any LLM. MCP server for coding agents and any MCP client.
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Quick Install

Copy the config for your editor. Some servers may need additional setup — check the README.

Add to claude_desktop_config.json:

{
  "mcpServers": {
    "consolidation-memory": {
      "command": "uvx",
      "args": [
        "consolidation-memory"
      ]
    }
  }
}

Or install with pip: pip install consolidation-memory

README Excerpt

**Trust-calibrated working memory for coding agents.** Store what happened. Consolidate what you learned. Recall with provenance — and lower trust when the repo moves on. `consolidation-memory` is local-first agent memory built for long-horizon coding work: SQLite + FAISS + markdown topics on disk, one semantic contract across Python, MCP, REST, and OpenAI-style tools, and explicit trust signals instead of opaque similarity search.

Tools (5)

memory_consolidatememory_detect_driftmemory_recallmemory_searchmemory_status

Topics

agentic-aiai-agentsclaude-codeclaude-desktopcoding-agentscursordrift-detectionfaissllmlocal-firstlocal-llmmcpmcp-servermemorypersistent-memory