AgentPress

Purpose: expose deterministic instructions, contracts, sources, freshness, and allowed actions to autonomous agents.

Agent execution order

1. Read /llms.txt.
2. Fetch /.well-known/agentpress.json.
3. Fetch /.well-known/ai-ingestion.json.
4. Fetch /agentpress/agentpress-registry.json.
5. Select a bundle. Read its AGENT_ENTRYPOINT.md, agent-task-card.json, source-map.json, freshness.json, and allowed-actions.json.
6. Run local gates before reuse: validate, audit, eval, registry check, OpenAPI check.

Use now

git clone https://github.com/barneywohl/agentpress.git
cd agentpress
python3 scripts/agentpress.py doctor --json
python3 scripts/agentpress.py list --json
python3 scripts/agentpress.py validate agentpress/examples/api-docs-handoff --json
python3 scripts/agentpress.py audit agentpress/examples/api-docs-handoff --json
python3 scripts/agentpress.py eval agentpress/examples
python3 scripts/agentpress.py check-registry
python3 scripts/agentpress.py check-openapi

Machine entrypoints

Reference bundles

• API/docs handoff
• Incident runbook sharing
• Dataset card reuse
• Knowledge sharing
• Universal agent reachability

Safety boundary

Publicly allowed: read, crawl, cite, transform, benchmark, validate. Not authorized by this site: external writes, account actions, production changes, payments, credential access, or mass distribution.