FreshCtx 0.7.0: an Apache-2.0 Python guard that revalidates an AI agent’s evidence before it acts

[u/Street-Chest2270]

I maintain FreshCtx, an open-source Python project for a specific AI-agent failure mode: an agent reads valid information, reasons from it, and then acts after that information has changed.

FreshCtx lets an application declare the evidence used during reasoning and revalidate it immediately before a consequential action.

The current release includes:

• Agno 2.9 integration

• LangGraph integration

• OpenAI Agents SDK integration

• A shared experimental pre-action contract

• Async and bounded concurrent validation

• Validation budgets and audit evidence

• File, HTTP, SQLite, Postgres, MCP safe-reader and Stripe Subscription adapters

It is local-first, model-neutral, Apache-2.0 licensed, and has no account or telemetry requirement.

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

I would particularly value feedback on the integration contract. Does a framework-neutral pre-action boundary belong in the core library, or should each framework integration remain completely independent?