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.
SHA-256 hash chains and SMT proofs make AI agent logs actually verifiable.
Proof-of-behavior for AI agents before Anthropic or OpenAI build their own.
Cryptographic hash chains make agent action logs legally defensible—LangSmith and Langfuse don't do this.
N-protocol mesh beats N² mappings — governance enforced in the call path.