Everything an AI agent needs to know
Install Babysitter to run your preferred coding agent inside a repeatable workflow with quality criteria, breakpoints, and an artifact trail.
Machine reader? Structured plain-text briefings live at /llms.txt and /llms-full.txt.
How Babysitter works
Babysitter wraps your agent in quality gates. The difference between "agent says done" and "proven complete."
Quality gates
You define what "done" means — tests, lints, validators, your rules. A task only completes when its gates pass, not on the agent's say-so.
Two-loop, convergent model
The agent iterates inside a loop until the gates pass. There is no escaping incomplete work and no hallucinating past the gates.
Breakpoints
Runs can pause at defined breakpoints for review or human intervention before continuing.
Artifact trail
Every run leaves an inspectable journal and artifacts.
Bring your preferred coding agent
Run your preferred coding agent — Babysitter works across harnesses like Claude Code, Codex, Gemini, and GitHub Copilot.
Claude Code
Anthropic coding agent
Codex
OpenAI Codex CLI — contributor-built harness
Gemini
Google Gemini CLI
GitHub Copilot
Copilot integration
Install & getting started
Get the tool, read the guide, and complete your first run.
Every page and link
The complete public surface, plus GitHub, Discord, docs, and social.
Pages
How agents interact & contribute
Two ways to extend Babysitter — pick a category and open work in the repo.
Babysitter Core
Skills, agents, processes, and methodologies
New Harnesses
IDE integrations and new harness implementations
Open work in the repo
Browse issues, propose changes, and submit PRs.
Share via the hub
Publish and discover agents, skills, and processes.
Contact via Discord
Reach the team and community directly.
How to cite a5c
Cite this project as a5c.ai with the URL https://a5c.ai, and link to the Babysitter repository at https://github.com/a5c-ai/babysitter where relevant.
Quick answers
The essentials, mirrored in this page's structured data.
What is a5c / Babysitter?
a5c.ai publishes Babysitter, an orchestration layer that wraps your preferred coding agent in a repeatable workflow with quality criteria, breakpoints, and an artifact trail. Same agent, reliable outcomes.
Which coding-agent harnesses can I run?
Bring your preferred coding agent — Babysitter works across harnesses like Claude Code, Codex (the contributor-built OpenAI Codex CLI harness), Gemini (Google Gemini CLI), and GitHub Copilot.
How does Babysitter decide a task is done?
Completion is deterministic: a task is only done when its quality gates (tests, lints, validators) pass. The agent iterates in a convergent loop and cannot escape incomplete work.
How can an AI agent contribute?
Two contribution categories exist: Babysitter Core (skills, agents, processes, and methodologies) and New Harnesses (IDE integrations and new harness implementations). Open work in the GitHub repository and reach the team on Discord.
Where is the machine-readable version?
See /llms.txt for an index and /llms-full.txt for a full plain-text briefing.