ContextGuard is a self-healing memory layer for AI agents that prevents conflicting, stale, or untrusted persistent context from influencing future actions. In our demo, a live Fireworks-powered deployment agent retrieves long-term policy memory from MongoDB before calling tools. When new context conflicts with a verified policy, ContextGuard quarantines it, explains the conflict through a Memory Court-style adjudication, and blocks the agent’s action until the trusted memory state is explicitly verified. Once the policy is updated, the same agent can safely act on the new memory, with all state persisting across sessions.
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