rekall-mcp

# Rekall MCP **Give coding agents memory with associative recall.** Rekall works with Claude Code and Codex while keeping each harness’s native memory separate. Rekall MCP is a persistent memory system with a **knowledge graph** layer. It stores memories as YAML + vector embeddings, connects them with typed relationships, and retrieves context using graph-enhanced semantic search.   --- ## Local-First Agent Nervous System Rekall gives local agents durable, inspectable, cross-session and cross-project memory for software work. Harness memory stores assistant preferences; Rekall stores what the work has taught the agent: decisions, root causes, procedures, danger zones, and project familiarity with provenance. --- ## Install ### Try it — no Docker, one command ```bash claude mcp add rekall -- uvx rekall-mcp ``` That's the trial tier: stdio transport, embedded vector store at `~/.rekall/qdrant`, memories as YAML at `~/.claude/memory`. First run downloads the ~90 MB embedding model (progress on stderr). No hooks/auto-capture, single session at a time — upgrade below when it earns a daily slot. ### Daily driver — all-in-one Docker ```bash docker run -d -v rekall-data:/data -p 127.0.0.1:8000:8000 ghcr.io/jfr992/rekall-mcp claude mcp add --transport http rekall http://localhost:8000 ``` One container, embedding model baked in, data on a named volume. Verify with `curl http://localhost:8000/health`. ### Full stack — compose (adds the cockpit UI) ```bash git clone https://github.com/jfr992/rekall-mcp.git cd rekall-mcp docker compose up -d # Qdrant (:6333) + MCP backend (:8000) + cockpit (:3333) claude mcp add --t…