realm — tool profile and history

Make AI agents follow instructions reliably and prove what they did. State machine engine with evidence chains, multi-agent delegation, human gates, and auditable execution — via MCP or CLI.

Active

Canonical source ↗

Language
TypeScript
Created
Last activity
Topics
  • a2a
  • agent-delegation
  • ai-agents
  • ai-orchestration
  • ai-reliability
  • ai-workflow
  • audit-trail
  • cli
  • developer-tools
  • evidence-chain
  • human-in-the-loop
  • llm
  • mcp
  • model-context-protocol
  • multi-agent
  • open-source
  • rag
  • state-machine
  • typescript
  • workflow-engine

Current measurement

0GitHub starsstable
measured growth

Momentum uses available readings from the last 7 days: measured with at least two comparable readings, estimated otherwise.

Reading history

90 days · 90 maximum readings
DateValueMetric
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Classifications

Domains
Type
MCP servers
Use cases