Universal governance layer for AI agents — MCP-native,
fail-closed, LNN interpretability. Governed receipts, IPFS audit proofs, and
rollback for any agent in any framework.
Fail-closed AI agent governance — approve or block agent actions
in real time, score compliance risk, and generate tamper-evident receipts.
Free tier: 10 governed actions/day. Upgrade for unlimited + Ed25519-signed
audit receipts.
Governance kernel for AI agents — policy enforcement, code safety verification,
multi-model hallucination detection (CMVK), trust attestation (IATP), and immutable
audit trails. Works with Claude Desktop, Cursor, and any MCP client.
Server-enforced workflow discipline for AI agents. An MCP server providing persistent work items, dependency graphs, quality gates, and actor attribution. Schemas define what agents must produce — the server blocks the call if they don't. Works with any MCP-compatible client.
Governance runtime for AI agents: a guard tool evaluates risky actions against policy before they execute (block / warn / require human approval), approvals route to a human queue, and every action becomes a replayable decision record with per-action spend tracking. Runs over stdio via npx @dashclaw/mcp-server; works with Claude Code, Codex, LangChain, CrewAI, or any MCP host.
Provides transactional intelligence for AI agents, enabling safe tool execution with pre-flight invariant checks, sub-second filesystem snapshots/rollback, causal tracing, belief contradiction detection, and 15 native MCP tools for Claude Code.
MCP server that turns coding workflows into explicit execution graphs (DAG) with deterministic command execution, human-in-the-loop gates, and tamper-proof run history for Claude Code.