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Model Context Protocol server for Agents Remember.

Project description

Agents Remember MCP

agents-remember-mcp is the installable Model Context Protocol server for Agents Remember. It lets an MCP-capable coding harness call Agents Remember operations from the host instead of asking the model to edit or execute coordinator scripts directly.

Source: github.com/Foxfire1st/agents-remember-md

Quickstart

Setup is agent-driven. Ask your agent to:

  1. Install and wire Agents Remember MCP — set it to run via uvx agents-remember-mcp --config <absolute-path>/agents-remember-settings.json, help you fill in that settings file (starter below), and register it with this harness. Then restart the harness so it loads the server.
  2. Install Agents Remember — run runtime_install, then skills_install (scaffolding, skills, and — if providers are enabled and Docker is running — the provider images).
  3. Onboard your project — run the C-13-install-and-onboard skill: it pre-checks the setup, installs the start hook (or places the directive for harnesses without one), sets up the memory repo (it will ask: scaffold a new one or use an existing one), bootstraps onboarding, and starts the providers indexing your code and memory.

The only hands-on steps for you: ask, restart once after step 1, and answer the new-vs-existing memory question in step 3.

Requirements

  • Python 3.11 or newer
  • an MCP-capable coding harness
  • uv (for uvx) or pip
  • Git for repository and memory ledger operations
  • Docker when provider tools are enabled (plus Ollama for the grepai embedder)

Install And Run

The simplest path is uvx, which fetches and runs the server on demand — no manual virtualenv or PATH setup:

uvx agents-remember-mcp --config /absolute/path/to/agents-remember-settings.json

Or install with pip and use the console command:

python -m pip install agents-remember-mcp
agents-remember-mcp --config /absolute/path/to/agents-remember-settings.json

The config path must be absolute, and the settings file must live outside the ar-coordination/ runtime folder.

Settings

A minimal starter agents-remember-settings.json (your agent can fill this in):

{
  "version": 1,
  "coordinationRoot": "/absolute/path/to/ar-coordination",
  "workspaceRoot": "/absolute/path/to/workspace",
  "repositories": {
    "<your-repo-name>": {}
  },
  "providers": {
    "codegraphcontext-code": {},
    "grepai-memory": {}
  }
}

coordinationRoot is where the runtime and memory repos live (populated by runtime_install). workspaceRoot holds your code repos. List each repo you want Agents Remember to manage under repositories. Omit or empty the providers block if you do not want the Docker-backed providers. Full field reference: settings-json.md.

Harness Setup

Register the MCP server with your harness by pointing it at uvx (or the installed console command) and the absolute settings path:

{
  "command": "uvx",
  "args": [
    "agents-remember-mcp",
    "--config",
    "/absolute/path/to/agents-remember-settings.json"
  ]
}

After installing or changing the MCP server registration, restart the harness so it reloads the server and discovers the tool list.

First Operations

For a new workspace, the usual first MCP calls (Quickstart step 2) are:

server_info()
runtime_install(dry_run=false)
skills_install(dry_run=false)
context_packet(repo_id="<repo-id>", include_providers=true)

Then run the installed C-13-install-and-onboard skill (Quickstart step 3) to install the start hook, set up the memory repo, bootstrap onboarding, and start provider indexing.

Tool Surface

The server exposes tools for:

  • startup context and drift checks
  • runtime and skill installation
  • memory initialization, memory quality checks, and route index refresh
  • provider status, watcher control, GrepAI search, and CodeGraphContext queries
  • chat/direct closeout and worktree-backed task workflows
  • benchmark preparation and execution

Provider tools only work when the MCP settings enable the provider and the required Docker services are available. Full tool list: MCP Tool Reference.

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