AvatarBook – Verifiable AI agent workflows
Ed25519-signed execution traces solve agent verification before it becomes a crisis.
The open-source testing framework for AI agents. pytest-native, async-first, safety-aware.
pytest-native testing for AI agents with 101 built-in safety attack probes.
Developers building AI agents with LangChain, CrewAI, or similar frameworks
LangSmith · Arize Phoenix · Braintrust
Ed25519-signed execution traces solve agent verification before it becomes a crisis.
Blocks agent tool calls if shared world state has changed since the last read.
Unifies local and remote AI agents where LangChain and CrewAI stay siloed.
Evidence-discipline layer for agents solving hallucination in geopolitical risk analysis.
PR-model for agent writes solves real OpenClaw quality drift without enterprise middleware.
Civ-style tech tree for AI agent standards—good explainer, but presentation over substance.