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agents-live

PyPI version Python 3.12 or later License: MIT

Take your agents live. Turn Claude Code and GitHub Copilot agents into scheduled and file-triggered local automations, without moving them to another agent platform.

Definitions can be conforming Agent Skill directories or flat Markdown files in configured repository directories. Agents Live reads their namespaced execution metadata, adds local triggers, and repairs drift using standard host tools.

Agents/markdown-polisher/SKILL.md

---
name: markdown-polisher
description: Polish Markdown documents when they change.
metadata:
  agents-live.schema-version: "1"
  agents-live.selector: "claude"
  agents-live.mode: "write"
  agents-live.watch: "docs/** debounce 1s"
---
Correct spelling, grammar, and Markdown formatting errors in the selected files.
Preserve their meaning, links, code, and frontmatter. When a `Files changed:`
list is present, process only those files.

Quick start

See Installation for required host tools and installation details.

uv tool install agents-live
agents-live init
agents-live start markdown-polisher

The watcher sleeps until a file changes, then runs the agent immediately with the changed paths. Add or edit a Markdown file under docs/, then open the file to see the fixes.

Manage the running agent with status and stop:

agents-live status
agents-live stop markdown-polisher

There is no polling interval or clock tick. The agent runs only when the operating system reports a change in the watched directory.

Lightweight

There is no listener service, separate application runtime, or database to deploy and maintain. The core stack is the Claude Code or GitHub Copilot CLI you already use, uv, and your host scheduler and file-watch facility.

Cron-only agents have no persistent process. A file-watch agent uses one small local watcher. There are no externally reachable ports or databases. Custom post-processors and plugins may bring their own dependencies; Agents Live core does not require them.

Safe by default

Execution modes make write access explicit:

  1. plan is read-only. The agent emits JSON for a validated post-processor to apply.
  2. pipeline limits the agent to a schema-checked data channel shared with your pre-processors and post-processors.
  3. write grants full write access as an explicit per-agent choice.

This is tool policy, not a sandbox. Agents still inherit the permissions of your local account and agent CLI.

The example uses write so it can fix documents directly. For tighter control, use plan with a validated post-processor or pipeline with schema-checked pre-processors and post-processors.

Installation

Install Claude Code, GitHub Copilot CLI, or both:

npm i -g @anthropic-ai/claude-code
npm i -g @github/copilot

Then install uv and Agents Live.

On Debian or Ubuntu:

curl -LsSf https://astral.sh/uv/install.sh | sh
sudo apt install cron inotify-tools
uv tool install agents-live
agents-live init

cron runs scheduled agents and automatic maintenance; inotifywait is only needed when definitions watch files or directories. On WSL, the first convergence stages and verifies Windows-side liveness before replacing an existing task, so scheduled runs do not require an open session.

On Windows:

winget install --id=astral-sh.uv -e
uv tool install agents-live
agents-live init

Windows uses Task Scheduler and a built-in watcher, so there is nothing more to install.

Note that macOS is untested.

Run agents-live doctor to diagnose missing requirements and inspect configuration. Use agents-live doctor --repair to repair supported configuration issues.

Go further

Definitions live under a registered repository's Agents/ directory by default. Set agent_directories = ["foo"] in .agents-live.toml to also discover immediate foo/<name>.md files and foo/<name>/SKILL.md bundles. Register another repository with agents-live init --repo <path>.

See the command reference for repository workflows, health checks and repair, upgrades, dashboards, shell completion, plugins, ownership, and multi-repository operations. The architecture guide covers runtime, safety, persistence, and maintenance behavior.

Documentation

Every workflow is an ordinary CLI command.

Design documents and the high-level backlog for the project itself live in docs/; they are not installed with the skill.

Contributing

Bug reports and pull requests are welcome in Issues.

License

MIT

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