Air – Open-source black box for AI agents (tamper-evident audit trails)
Cryptographic audit chain for agents, but lacks observability dashboards competing tools provide.
Open-source EU AI Act compliance scanner. 51 checks across Articles 9-15. Drop-in trust layers for LangChain, CrewAI, AutoGen, OpenAI. Local-first, no data leaves your machine.
Instead of another observability dashboard, this project builds a provable audit trail: an OpenAI-compatible reverse proxy that vaults prompts in MinIO and links calls with an HMAC-SHA256 tamper-evident chain, plus replay tooling (replayctl) and Jaeger traces. The cryptographic audit chain and the one-line SDK wrap are clever and practical; the real operational work left to teams will be key management and storage/retention strategy.
Backend developers, AI/ML engineers, AI ops, security and compliance teams
Cryptographic audit chain for agents, but lacks observability dashboards competing tools provide.
SHA-256 hash-chained AI audit log, but only 9 commits and ko-fi upsell.
Proof-of-behavior for AI agents before Anthropic or OpenAI build their own.
HMAC-SHA256 audit chains for EU AI Act Article 12 compliance, pip-installable trust layers for every major agent framework.
GAP research proved models hide harmful actions in tool calls—this catches them at runtime.
Merkle Mountain Range ledger proves AI agents can't retroactively fake logs—novel crypto primitive.