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Agent AFK

Freemium

Open-source, local-first runtime enabling unattended coding for developers.

56 visitors 1 day ago

Agent AFK solves the frustration of babysitting AI tasks by running coding agents locally and securely, keeping data on your machine while you focus on higher-level decisions.

Stop Wasting Time on Unattended Coding

Agent AFK automates long-running tasks with daemon workflows and persistent memory, so you review results rather than chase them.

Protect Your Data with Local Execution

With permission boundaries, reversibility gates, isolated worktrees, and by default no data leaves your device, you maintain control and privacy.

Verify Before You Ship

Adversarial verification and self-checking ensure that only verified results change your codebase, with full trace history under ~/.afk/.

Collaborate Securely with Telegram Supervision

Receive notifications and control flows via Telegram while keeping processing on-device.

Supported models include Claude, Cursor, Claude Code, Codex, and BYO-model providers, with BYO-machine support for flexible pipelines.

Verification Options:

1.

Email Verification: Verify ownership through your domain email.

2.

File Verification: Place our file in your server.

After verification, you'll have access to manage your AI tool's information (pending approval).

Free forever with open-source core; No trial or guarantee available.

Quick verdict

Based on 2 reviews

Read all reviews

Pros

  • Unattended coding-agent execution let me ship a feature overnight without babysitting.
  • Parallel subagents dramatically cut investigation time by running multiple hypotheses at once.
  • Local traces provide a complete audit trail I can follow step by step.

Cons

  • Per-project permission tuning is powerful but requires careful configuration; a guided setup would help.
  • Trace verbosity can drown signal; I wish better log filtering or grouping.
  • Sometimes a long-running task stalls and I need to intervene manually.

Customer Reviews for Agent AFK

Overall Analytics

Comprehensive review insights and historical performance

Very Positive (2) 4.5/5 2 reviews 100% recommend โ€” Monthly growth

6-month timeline

Most helpful

Noah Davis
Noah Davis 0

I set this up to run feature work overnight and let subagents chase hypotheses in parallel. The hands-off automation actually saved me hours, and the local traces give me a solid audit trail when I wake up. The initial setup is a bit verbose, and the logs can be noisy, but I can tune filters and still sleep.

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Recent Review Statistics

Sentiment analysis and trends from the last Last 30 days

4.5/5
2 reviews
Very Positive (2) New reviews
Trend: Steady Velocity: 0.1/day Engagement: 0%
Velocity utilization 14%
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Showing 1 - 2 of 2 reviews .

User avatar for Noah Davis

Noah Davis

Trusted Reviewer Verified purchase
4.0
Recommends

Unattended automation that mostly nails it, but traces get noisy

Used for week to month

What I liked

  • Unattended coding-agent execution let me ship a feature overnight without babysitting.
  • Parallel subagents dramatically cut investigation time by running multiple hypotheses at once.
  • Local traces provide a complete audit trail I can follow step by step.

What could be better

  • Per-project permission tuning is powerful but requires careful configuration; a guided setup would help.
  • Trace verbosity can drown signal; I wish better log filtering or grouping.
  • Sometimes a long-running task stalls and I need to intervene manually.

I set this up to run feature work overnight and let subagents chase hypotheses in parallel. The hands-off automation actually saved me hours, and the local traces give me a solid audit trail when I wake up. The initial setup is a bit verbose, and the logs can be noisy, but I can tune filters and still sleep.

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User avatar for Daniel Harris

Daniel Harris

Trusted Reviewer
5.0
Recommends

Remote oversight via Telegram makes long-running tasks controllable

Used for 1-3 months

What I liked

  • Telegram supervision: Remote notifications keep me informed without constant monitoring.
  • Local traces: Full audit trail supports post-mortems and compliance.
  • Parallel subagents: Faster debugging by exploring multiple hypotheses at once.

What could be better

  • Telegram outages or network blocks can blindside me; Iโ€™d like a fallback path for alerts.
  • Per-project isolation and access control arenโ€™t clearly scoped yet; I had to tinker with configs.
  • Initial setup is non-trivial; a guided wizard would help.

I manage a small feature pipeline and needed a way to supervise long tasks from anywhere. The Telegram notifications keep me in the loop without opening dashboards, while local traces give a crisp audit trail for after-action reviews. The combination of parallel subagents helps diagnose bugs faster and lets me gate PRs with confidence. The initial setup is non-trivial, but once wired, it feels like an extra pair of eyes on the project.

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How it works

How Agent AFK Works In 3 Steps?

  1. Step 1

    1. Install Agent AFK

    Install Agent AFK globally with npm and verify your environment.

  2. Step 2

    2. Configure Your Repo

    Configure your repository and select model providers to enable tasks.

  3. Step 3

    3. Run & Review

    Start tasks via CLI or Telegram and review traces and receipts.

Direct Comparison

See how Agent AFK compares to its alternative:

Agent AFK VS Jcode

Agent AFK: Features, Advantages & FAQs

Explore everything you need to know about Agent AFK

Core Features
  • Unattended coding-agent execution: Hands-off automation
  • Permission boundaries: Enforced safety
  • Parallel subagents: Faster investigations
  • Local traces: Full audit trail
  • Telegram supervision: Remote notifications
Advantages
  • Saves 10+ hours weekly
  • Local-first architecture
  • No vendor lock-in
  • Open-source license
  • Active trace history
  • Telegram supervision
  • BYO-model support
Use Cases
  • Running feature implementations overnight
  • Diagnosing bugs with parallel hypotheses
  • Reviewing pull requests with multi-review gates
  • End-to-end feature pipelines from spec to shipping
  • Remote supervision of long-running tasks via Telegram
  • Inspecting agent tool calls and traces when tasks stall
Best For
  • Software Developers, Backend Engineers, DevOps Engineers, Open-Source Maintainers, AI Researchers

Integrations

Works with the tools you already use

Telegram, Git, Custom model providers, MCP plugins
Best For

Software Developers, Backend Engineers, DevOps Engineers, Open-Source Maintainers, AI Researchers

Skill Level
Intermediate

Frequently Asked Questions

Developed by: Agent AFK Open-Source Maintainers

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