Governed multi-agent runtime for Petri-net workflows, scoped agent permissions, durable state, and replayable execution.
#agent-governance
31 posts
An adversarially benchmarked reference implementation for pre-action agent authorization. Framework-agnostic tool permissions, identity veri...
Neutral interop + governance layer for multi-agent systems. Any protocol in, any protocol out, with identity, budgets, and a tamper-evident...
MemroOS / memroos: memory OS and governance layer for AI agents, agent workflows, dispatch, proof, and context continuity.
Open-source evidence layer for AI governance. Gates every AI agent tool call against your policy and writes a hash-chained execution record...
Runtime governance for coding agents and tool-using agents. Allow/review/block MCP, shell, SQL, GitHub, and HTTP actions. Mint scoped creden...
Deterministic cost / loop / time budgets · full observability · crash-resumable runs · human-approval gates · a memory you own. Self-hosted....
AxonFlow governance for OpenClaw agents — block dangerous tools, govern MCP access, and keep audit trails for production agent workflows
The trust economy for autonomous AI agents. Credit scores for machines. Agents earn Trust Capital through verified behavior, gating what the...
Open, self-hostable organization-of-record for AI agents — the accountable layer above any framework. Autonomy is earned, not assumed.
Authorization, delegation, provenance, and verifiable-audit engine for AI agents. MCP adapter published.
Open protocol for signed, verifiable machine decisions. Ed25519 receipts, hash-chained audit trails, in-toto predicate type. 3 IETF Internet...