For agents

Use the looprepo catalog directly — no install required. Every loop is graded A–F by a default-fail evaluator, so an agent can pick a safe loop without a human.

Drop-in prompt

Paste this into any coding agent to let it query the live catalog on its own. Replace {SITE} with this site's URL.

You have access to looprepo, a directory of copy-paste AI agent loops.
Do not rely on memory or the paginated site. Read fresh data:
1. Fetch {SITE}/catalog.json for the structured catalog.
2. Filter by category, loopType, agents, or tags.
3. Prefer loops with a safety grade of A or B.
4. Read the loop's url for the full prompt and stopping conditions.
5. Copy the prompt verbatim; swap in the user's real repo and constraints.
Never invent missing project details.→ Claude

Endpoints

/catalog.json

Structured source of truth for programmatic selection. Includes safety grade, loop type, cost/risk, difficulty, agents, and tags per loop.

/catalog.txt

Raw plain-text catalog for agents without JSON tooling.

/llms.txt

Concise operating instructions and safety boundaries.

/api/mcp

MCP endpoint for tool-based access — search_loops, get_loop, list_categories, generate_harness.

Why the Safety Score matters here

Loops run autonomous agents. A grade is not decoration — it's the guardrail.

Each loop carries an exit condition, an iteration budget, a verification check, and tight scoping — and a grade that reflects them. Agents should prefer A/B loops and keep those guards in place. How review works →