Developer builds AI memory firewall to block stale, leaked, and false agent context

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A developer created ContextFirewall, an open-source tool designed to audit AI agent memories before they are passed on to other agents or used in tasks. The project was built for the WeMakeDevs × Cognee hackathon and addresses a core risk in long-term AI memory: agents can confidently act on outdated, contradicted, or sensitive information stored as fact. ContextFirewall integrates with the Model Context Protocol (MCP), making it compatible with tools like Claude Code, Cursor, and Windsurf via a single hosted endpoint. It applies four checks to every recalled memory, catching issues such as temporal supersession, contradictions, leaked credentials, and unsupported claims. The tool is available as either a hosted streamable-HTTP MCP server or a local zero-dependency package, and uses Cognee's four memory lifecycle operations — recall, remember, improve, and forget.

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