I'm Brian, co-founder of Faramesh. My co-founder Amjad and I were writing a research paper on AI agents last year, and the deeper we got into how agents actually execute in production the more obvious it became that there's no real solution for execution control. Agents can be sandboxed, they can have network policies, but nothing sits at the action layer and evaluates decisions before they run against an actual policy.
So we built Faramesh.
It intercepts tool calls before they execute, evaluates them against a declarative policy, blocks or approves, and logs everything. Works with LangChain, CrewAI, AutoGen, MCP, LangGraph. Open source, no signup. You can clone it and have it running against your agent in a few minutes.
The OpenShell announcement from NVIDIA this week is a good reference point for where Faramesh fits. OpenShell handles what the agent can reach. Faramesh handles what the agent is allowed to do once it gets there. Different layers.
Would love feedback from anyone running agents in production, especially where you've hit cases where access controls weren't enough.
github.com/faramesh-labs/faramesh -- faramesh.dev
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Show HN: Faramesh – open-source runtime enforcement for AI agents · HackerTrans
So we built Faramesh.
It intercepts tool calls before they execute, evaluates them against a declarative policy, blocks or approves, and logs everything. Works with LangChain, CrewAI, AutoGen, MCP, LangGraph. Open source, no signup. You can clone it and have it running against your agent in a few minutes.
The OpenShell announcement from NVIDIA this week is a good reference point for where Faramesh fits. OpenShell handles what the agent can reach. Faramesh handles what the agent is allowed to do once it gets there. Different layers.
Would love feedback from anyone running agents in production, especially where you've hit cases where access controls weren't enough.
github.com/faramesh-labs/faramesh -- faramesh.dev