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  3. Agentpack
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Health: ActiveRecent health check succeeded.Last checked 9/9/2026, 2:19:34 PM

Agentpack

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View Repository17 GitHub StarsTotal stargazers on GitHub for the source repository (17 stars).Visit Website

Local MCP server that records and resumes AI coding agents' task state in repo files for session continuity.

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent β€” or use 1-click editor setup below.

One-click editor setup isn’t available for this listing yet β€” we don’t have a confirmed install command, and we’d rather show nothing than point your editor at the wrong package or host. Follow the project’s own setup instructions, linked above.

Manual Client & Custom JSON ConfigExpand JSON β–Ύ
No confirmed setup config for this listing yet. We only publish a config block when the install details come from the project itself β€” its README, its docs, or a verified owner. We haven’t found those for ihorponom/agentpack, and we’d rather show nothing than a guess you’d paste into your client. Follow the project’s own setup instructions for the current steps.
Install Directory Badge Claim listing Alternatives🧠 More in Knowledge & Memory

Overview

This server enables AI coding agents to persist and resume task state natively within a repository by storing a task ledger in a .agentpack/ folder. It captures goals, decisions, checkpoints, and verification evidence so agents can continue work across sessions, clients, or time gaps without reprocessing prior context. It is useful when agents need to maintain continuity despite context window compaction, client switching, or task interruptions.

Use cases

β€’Resume interrupted coding tasks with full context
β€’Switch between different AI coding clients seamlessly
β€’Maintain task state across multiple sessions or days
β€’Prevent agents from drifting outside assigned task scope
β€’Inspect and debug task state manually via CLI

Key features

β€’Stores durable task state locally in plain repo files
β€’Supports multiple AI clients with generated project instructions
β€’Records decisions, dead ends, evidence, and checkpoints
β€’Implements a task lifecycle with explicit handoff states
β€’Includes a configurable task gate to enforce task boundaries
β€’Provides CLI tools for setup, inspection, and troubleshooting

Capabilities & Tool Schemas

Inspect callable tools, capabilities, and parameters exposed to AI agents by Agentpack.

Extracted Tool Capabilities
Stores durable task state locally in plain repo files
Supports multiple AI clients with generated project instructions
Records decisions, dead ends, evidence, and checkpoints
Implements a task lifecycle with explicit handoff states
Includes a configurable task gate to enforce task boundaries
Provides CLI tools for setup, inspection, and troubleshooting

Documentation Overview

Agentpack

npm version CI node license agentpack MCP server

Repo-native task continuity for AI coding agents.

Coding agents forget. Agentpack gives them the task state they need to continue.

How Agentpack works: an agent records task state into .agentpack/ in the repo, and any next session β€” same agent, another client, or later β€” continues from it

Here it is live. Session 1: Claude Code investigates a flaky test and records what it learns through the Agentpack MCP tools. Session 2, next day, empty context: the agent loads the task state and picks up exactly where the first session stopped β€” no re-investigation:

Live demo: a Claude Code session records its findings through Agentpack MCP tools, and a fresh session the next day continues from the recorded task state

Prefer to poke at it by hand? The same flow driven from the CLI is in docs/DEMOS.md.

Every session ends the same way: the context window gets compacted, the chat closes, the task waits until tomorrow. The next session starts from zero β€” re-reading files, rediscovering decisions, retrying approaches that already failed.

Agentpack keeps a small, reviewable task ledger in .agentpack/ inside your repo. Connected agents record durable state as they work β€” the goal, decisions, dead ends, verification evidence, checkpoints β€” and the next session loads it back and continues. That next session can be the same agent after compaction, a different client, or you returning next week.

  • Local-first. Plain files in your repo. No cloud, no telemetry, no network calls.
  • Agent-oriented. A local MCP server plus generated project instructions (AGENTS.md, CLAUDE.md, Cursor rules) tell agents when to load and record state.
  • Human-friendly. The same state is available through the CLI for inspection, debugging, and manual handoff.

Quick start

Requires Node.js >= 20.

Terminal
npm install -g agentpack-cli

cd path/to/your/repo
agentpack init                     # once per repo
agentpack install claude --write   # per client: codex | claude | cursor | claude-desktop

Restart or reconnect the coding-agent client. From then on the agent loads Agentpack context at session start, records durable decisions, sources, and evidence while working, and checkpoints meaningful progress.

Run agentpack doctor to verify the setup, and agentpack resume --preset agent --query "<topic>" to inspect the task state yourself.

See docs/INTEGRATIONS.md for client-by-client setup, including what each installer writes and why.

Codex, Claude Code, and Cursor include an optional builder for implementation work. The main agent can use it when you ask or your instructions allow delegation, and explains what it will hand off before starting. Small tasks stay with the main agent.

How it works

  1. At session start, the agent loads compact Agentpack context: the current Task Passport, recent checkpoints, decisions, and reviewed source conclusions.
  2. While working, it records durable state β€” decisions worth keeping, approaches that failed, verification evidence β€” and selectively caches reviewed source conclusions with file hashes. A matching hash shows that the file is unchanged; it does not prove the conclusion is correct.
  3. At a coherent boundary, it creates a checkpoint with status, next actions, and git state.
  4. The next session β€” any MCP-connected agent β€” continues from that state instead of rebuilding it from chat history.

The ledger is task-scoped: a Task Passport carries the goal, status, constraints, write scope, next actions, and verification for the current task, with an explicit lifecycle (start, park, switch, finalize) for handoffs. An optional task gate (native Claude Code, Codex, and Cursor hooks plus a client-neutral pre-commit hook) warns β€” or in block mode, stops β€” when edits bypass the active task. The gate warns by default; opt into enforcement with "gateMode": "block" in .agentpack/config.json (modes and exit codes in docs/CLI.md).

Context is budgeted: resume output is compressed under a rough token estimate, so agents get the useful state back, not a pile of history.

When it helps

  • The context window is compacted mid-task and the next turn needs the state back.
  • You start a fresh chat or session on an ongoing task.
  • You switch between Claude Code, Cursor, Codex, or another MCP client.
  • You return to a refactor or bugfix days later.
  • Another agent β€” or a teammate's agent β€” continues from your checkpoint.
  • You split one session across parts of a monorepo (api/, frontend/, cron/) with short scoped tasks, and the task gate keeps the agent from drifting outside the folder the current task owns.

A side effect: agents spend fewer tokens re-reading unchanged files and re-explaining old decisions.

Security posture

  • Zero runtime dependencies, exact dev dependencies, committed lockfile, ignore-scripts=true.
  • No telemetry and no network calls during normal CLI or MCP operation.
  • Best-effort redaction of secret-looking values in stored context and handoff output.
  • Releases are published from GitHub Actions with npm provenance (Trusted Publisher, no long-lived tokens); verify with npm audit signatures.

See SECURITY.md for the full policy.

Documentation

  • docs/INTEGRATIONS.md β€” safe setup for Codex, Claude Code, Cursor, Claude Desktop, and git hooks
  • docs/CLI.md β€” full CLI reference, budgets, and manual fallback workflows
  • docs/MCP.md β€” the MCP server contract and tool list
  • docs/TASK-PASSPORT.md β€” task lifecycle, handoffs, and portable bundles
  • docs/DEMOS.md β€” compact continuity demos you can run yourself
  • docs/VISION.md β€” the strategic north star

Contributing / local development

Clone the repo and use Node 20+:

Terminal
npm ci --ignore-scripts
npm test
npm run mcp:smoke
node dist/src/agentpack.js --help

This repo uses Agentpack on itself through MCP β€” docs/DOGFOOD.md describes the working protocol, docs/SETUP.md the full setup, and docs/RELEASING.md the release process.


Mirror: Codeberg. Issues, releases, and npm provenance stay on GitHub.

Read the full README β†’View source on GitHub β†’

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Adoption & maintenance

Factual signals from GitHub, npm, and our automated checks β€” not a rating.

GitHub stars
17
Stargazers on the source repository.
Last commit
1mo ago
Most recent push to the default branch.
Directory activity
1 views
Config copies, upvotes, and views on AllMCPs.

Reviews

No reviews yet β€” be the first to share how this listing worked for you.

Frequently Asked Questions about Agentpack

No, Agentpack is local-first and stores all task state as plain files in the repo without network calls.

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Technical Specs & Signals

Category🧠Knowledge & Memory
More technical detailsExpand β–Ύ
Last updatedAug 10, 2026
Views1
Unique ViewsTotal visits recorded for this listing page on AllMCPs.
Installs0
Installs & Copy ActionsTotal times users copied install commands or configuration snippets for this server.
GitHub stars17
GitHub Star CountTotal stargazers on GitHub representing community popularity (17 stars).
Last commit1mo ago
Last Repository CommitThe most recent commit or push recorded for this server's GitHub repository.Last commit on Aug 10, 2026
44Quality signal: Fair Β· 44/100How this signal is calculated β–Ύ
Server availabilityNot measured

Not scored for repo-hosted servers β€” we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership10/20
Documentation & tools18/30
Adoption & activity5/15
Community engagement0/10

A guidance signal from public completeness & health data β€” not a user rating. New listings start lower and rise as they add docs, get verified, and grow adoption. Signals we can't observe for a listing are skipped, not counted against it.

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