jrswab

jrswab / axe

Public

A ligthweight cli for running single-purpose AI agents. Define focused agents in TOML, trigger them from anywhere; pipes, git hooks, cron, or the terminal.

ai-agents automation cli command-line developer-tools
547
10
100% credibility
Found Mar 12, 2026 at 298 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
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AI Summary

Axe is a command-line tool for creating, managing, and running focused AI agents that integrate with tools, sub-agents, and persistent memory.

How It Works

1
💡 Discover Axe

You hear about Axe, a simple way to create focused AI helpers for everyday tasks like reviewing code or summarizing logs.

2
🚀 Get Started Quickly

Download and install Axe with one easy command, no complicated setup needed.

3
🏠 Set Up Your Space

Create a folder for your helpers and add a sample one to try right away.

4
✏️ Customize Your Helper

Edit a simple file to tell your helper its job, like checking code for issues.

5
🔍 Run and Get Smart Help

Pipe in something like code changes, and watch your helper analyze and suggest fixes instantly.

6
🔗 Make It Smarter

Add memory to remember past work or link to other helpers for bigger tasks.

🎉 Powerful AI Workflows

Now you have reusable AI sidekicks that pipe into your daily tools, saving time every day.

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Star Growth

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AI-Generated Review

What is axe?

Axe is a lightweight Go CLI for spinning up single-purpose LLM agents defined in TOML files, runnable anywhere—pipes, git hooks, cron jobs, or terminal. Feed git diffs to a code reviewer, analyze logs via stdin, or chain sub-agents with tools for file ops and shell commands, all without daemons or GUIs. Supports Anthropic, OpenAI, Ollama, with JSON output and Docker for seamless integration.

Why is it gaining traction?

Unlike bloated LLM frameworks or chatty apps, axe embraces Unix composability: focused agents pipe in/out like CLI tools, with sandboxed built-ins (read/write/edit files, run commands) and persistent memory plus GC. Devs dig the no-setup binary, dry-run previews, and scripting hooks—think llm axe github for agents anywhere, outshining axe core github actions or cypress axe github in devtools simplicity.

Who should use this?

DevOps scripting cron jobs for log analysis, backend teams piping git diffs to PR reviewers via hooks, or CI/CD folks dockerizing agents for axe github action workflows. Ideal for frontend/backend devs building axe devtools github pipelines, skipping heavy setups like playwright/cypress axe github for quick LLM tasks.

Verdict

Grab it for lightweight agents anywhere—155 stars and 1.0% credibility show it's fresh but battle-tested with strong docs/Docker. Maturity lags big players, so prototype first if production-critical.

(198 words)

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