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Indu Das
Indu Das

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When an AI agent takes a consequential action, blocking stale reasoning is only part of the control problem.

When an AI agent takes a consequential action, blocking stale reasoning is only part of the control problem.

Organizations also need to answer:

  • What evidence supported the decision?
  • Was it revalidated immediately before execution?
  • Which action was allowed or blocked?
  • Can the resulting record be verified later?

FreshCtx 0.11.0 introduces a consistent evidence-to-action trail across MCP, Agno, LangGraph, the OpenAI Agents SDK, Google ADK and ElevenLabs.

Every protected action can now produce the same versioned correlation record, connecting the action to its declared evidence, validation result and policy decision—without copying tool arguments, credentials or business payloads.

The release also introduces bounded evidence attestation. Applications can create a time-limited integrity receipt for an exact correlation record and detect tampering, mismatched records, invalid signatures and expired receipts.

FreshCtx keeps the claim deliberately precise: verification establishes record integrity, key possession and the configured time bound. It does not pretend to prove source truth, reasoning correctness, authorization or compliance.

FreshCtx 0.11.0 is open source, Apache-2.0, local-first and available now.

Install: python -m pip install freshctx==0.11.0

https://github.com/Hyperwise-LLC/freshctx

https://pypi.org/project/freshctx/0.11.0/

AIAgents #AgenticAI #AIInfrastructure #EnterpriseAI #MCP #OpenSource #Python #AIEngineering #ResponsibleAI #AIGovernance

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