IntaGrinA declarative framework for building multi-agent LLM systems in YAML

Describe agents, handoffs, tools, and guardrails in ai.yaml — verified before you run them, not just prompted and hoped for.

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🎯

Declarative, not programmatic

Routing, guardrails, and memory live in ai.yaml, not hand-wired Python graph code or agent/crew objects.

🛡️

Governance built in, not bolted on

Circuit breakers with an honest bounded/unbounded cost accounting, per-call human-in-the-loop approval, content-provenance guardrails, and sandboxed code execution.

✅

Static verification before runtime

inta verify catches routing cycles, unbounded cost paths, and misconfigured guardrails before you ever run the agent.

📖

Honesty over marketing

Every tool in this repo says what it doesn't cover, not just what it does — a claim only ships if the code actually backs it.