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Agentpack

@ihorponom

Repository

About Agentpack

Agentpack is a local-first continuity layer for AI coding agents. It stores reviewed task state inside a repo-local .agentpack/ ledger so Codex, Claude Code, Cursor, Claude Desktop, and other MCP clients can resume work without rebuilding context from chat history.

#cli-typescript-mcp-developer-tools-cursor-codex-ai-agents-agent-state-local-first-coding-agents-model-context-protocol-mcp-server-claude-code-context-engineering-task-continuity

Config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "agentpack": {
      "command": "npx",
      "args": [
        "-y",
        "agentpack-cli@latest",
        "mcp",
        "--root",
        "/absolute/path/to/your/repo"
      ],
      "env": {
        "AGENTPACK_ROOT": "/absolute/path/to/your/repo"
      }
    }
  }
}

Tools

No tools detected

We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.

Overview

What is Agentpack?

Agentpack is a local repo-scoped task ledger for MCP-connected coding agents. It lets agents record decisions, dead ends, evidence, source conclusions, task passports, checkpoints, and compact resume context so future sessions can continue without rebuilding context from chat history. It works with Codex, Claude Code, Cursor, Claude Desktop, and other MCP clients.

How to use Agentpack?

Install the CLI tool globally via npm (npm install -g agentpack-cli), then run agentpack init inside your repository. Next, run agentpack install <client> --write (e.g., agentpack install codex --write or agentpack install claude --write) to configure the integration for your preferred coding agent.

Key features of Agentpack

  • Records durable task decisions and failed approaches
  • Preserves reviewed source conclusions with file hashes
  • Creates checkpoints and handoffs for repo-scoped work
  • Supports switching between Codex, Claude Code, Cursor, and Claude Desktop
  • Provides compact resume context to avoid chat‑history rebuilding

Use cases of Agentpack

  • Continuing a coding session after chat compaction or a fresh agent session
  • Seamlessly switching between different MCP clients (Codex, Claude Code, Cursor, Claude Desktop)
  • Recording decisions and dead ends to avoid repeating work
  • Handing off task context between team members or agent sessions

FAQ from Agentpack

What does Agentpack record?

Agentpack records decisions, dead ends, evidence, source conclusions with file hashes, task passports, checkpoints, and compact resume context.

Which clients does Agentpack support?

Agentpack works with Codex, Claude Code, Cursor, Claude Desktop, and other MCP‑connected coding agents.

How do I install Agentpack?

Install the CLI globally with npm install -g agentpack-cli, then run agentpack init in your repository and agentpack install <client> --write for your chosen agent.

Can Agentpack help after a chat compaction?

Yes, it is explicitly designed to provide continuity after chat compaction or a fresh agent session by preserving a local task ledger.

Does Agentpack require any external services?

No, Agentpack operates as a local repo‑scoped ledger; no external service or cloud dependency is mentioned.

Frequently asked questions

What does Agentpack record?

Agentpack records decisions, dead ends, evidence, source conclusions with file hashes, task passports, checkpoints, and compact resume context.

Which clients does Agentpack support?

Agentpack works with Codex, Claude Code, Cursor, Claude Desktop, and other MCP‑connected coding agents.

How do I install Agentpack?

Install the CLI globally with `npm install -g agentpack-cli`, then run `agentpack init` in your repository and `agentpack install <client> --write` for your chosen agent.

Can Agentpack help after a chat compaction?

Yes, it is explicitly designed to provide continuity after chat compaction or a fresh agent session by preserving a local task ledger.

Does Agentpack require any external services?

No, Agentpack operates as a local repo‑scoped ledger; no external service or cloud dependency is mentioned.

Comments

Basic information

Category

AI & Agents

Transports

stdio

Author

ihorponom

Submitted by

Ihor Ponomarov

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