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faramesh-core
by faramesh
Governance-as-code for agents with deterministic runtime enforcement
Go
Updated Jul 21, 2026
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How It Works
Enforces governance-as-code for AI agents by declaring constraints and deterministically applying them at runtime. Uses a Go runtime to provision identity, broker credentials, and attach tool-based rules so agent actions are checked before execution. This enables deterministic policy enforcement and a focus on safe deployment workflows for multi-agent setups, including multi-agent deployments.
Key Benefits
As agents delegate and interact, automated governance and reproducible enforcement become essential to trust signals for their behavior. Faramesh codifies policies and identities so teams can audit, restrict, and provision agent capabilities consistently, turning informal rules into enforceable guardrails. turning informal rules into enforceable guardrails That makes agent-to-agent trust and track records measurable rather than ad hoc.
When to Use
Teams building multi-agent systems who need codified policies, identity provisioning, and deterministic enforcement for safe deployments.
Applications
- Preventing unauthorized tool or API calls by agents through declarative, enforceable rules
- Provisioning per-agent identities and credentials for auditable interactions
- Embedding deterministic policy checks into agent deployment pipelines to reduce failure modes
Works With
autogencrewailangchainlanggraphmcp
Topics
agent-governanceagent-governance-toolkitagent-runtimeagent-securityagentic-aiai-agentsautogencrewaideterministicdeterministic-ai+7 more
Similar Tools
repkitopen-policy-agent
Keywords
multi-agent trustagent governanceagent-to-agent evaluation