Plur

{
  "mcpServers": {
    "plur": {
      "command": "npx",
      "args": [
        "-y",
        "@plur-ai/mcp"
      ]
    }
  }
}

claude mcp add --transport stdio plur -- npx -y @plur-ai/mcp

{
  "mcpServers": {
    "plur": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "@plur-ai/mcp"
      ]
    }
  }
}

{
  "servers": {
    "plur": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "@plur-ai/mcp"
      ]
    }
  }
}

Config formats checked against the official docs on Oct 7, 2026: modelcontextprotocol.io (opens in a new tab), code.claude.com (opens in a new tab), cursor.com (opens in a new tab), code.visualstudio.com (opens in a new tab).

• plur_learn

  Store a correction, preference, or convention

• plur_learn_batch

  Store many engrams in one call (batch dedup + per-item failure isolation)

• plur_recall

  Retrieve relevant memories — hybrid (BM25 + embeddings) by default; mode:"keyword" for BM25-only

• plur_inject_hybrid

  Select engrams for current task within token budget

• plur_feedback

  Rate relevance (trains quality over time)

• plur_forget

  Retire a memory (activation decays, eventually pruned)

• plur_rescope

  Move an existing engram to another scope — personal → team, or back

• plur_session_scope

  Change the session's default write scope mid-session

• plur_capture

  Record an event — incident, resolution, session milestone

• plur_timeline

  Query episode history by time, agent, or channel

• plur_ingest

  Extract engrams from text automatically

• plur_sync

  Sync via git. personal remotes mirror everything (use a private repo); shared remotes receive only shared-scope,…

• plur_status

  Check system health and engram counts

• plur_receipt

  Counted, local report of what your memory retrieved for you

• plur_outbox

  Inspect (and retry) team writes queued while their store was unreachable

Persistent, open memory for AI agents — local-first, zero-cost, shared across MCP tools (Claude Code, Codex, Cursor, OpenCode, Hermes, OpenClaw). Your agent's memory is plain-text engrams you can read, correct, and delete — not weights you can't.

• agent-memory
• ai-agents
• ai-memory
• context-engine
• llm
• local-first
• mcp