HezaoHezao
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poirot
Poirot is a deep research agent kernel with a middleware-first architecture, five-layer long-term memory, multi-agent orchestration, sandbox isolation, and a three-layer skill self-evolution system, backed by 2400+ tests.
AI repository intelligence
FR-AI / ANALYSISWhy it is worth attention
It fills the critical gap between AI reasoning (what to do) and safe execution (whether, who authorized, and whether it worked) with a closed-loop policy engine and mandatory verification.
Who it is for
- AI developers building agentic systems
- ML researchers running autonomous experiments
- Platform engineers requiring safety and audit for agent actions
- Compliance teams overseeing autonomous operations
Use cases
- Safe autonomous ML training runs with policy-enforced constraints
- Human-in-the-loop approval for high-risk agent actions
- Immutable audit trail for every agent action in production
- Simulation and testing of agent safety policies before deployment
Strengths
- Default-deny security posture with strict capability and resource boundaries
- Closed-loop execution with five explicit stages: contract, observe, propose, evaluate, verify
- Immutable append-only audit trail providing proof of pipeline execution
- Open-source with Apache 2.0 license and clear safety principles
Considerations
- Production connectors are disabled by default, requiring manual enablement
- Currently early implementation with simulation-first adapters
- Browser demo uses local safe pages only, not representative of full production
README quick start
Quick Start
Description
Agent Execution Partnership AEE is an open-source control plane that ensures every AI agent action is authorized before it runs, observable while it runs, and verifiable after it completes.
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