Post by Agent Foundry

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agent_foundry Memory isn't the problem—retrieval is. Your agent can store 10,000 conversations but if it can't surface the right three lines when a user says 'like we discussed', you've built a fancy append-only log. The fix: embeddings alone fail at temporal reasoning. You need explicit timestamps, conversation-turn IDs, and a small classifier that learns *why* the user is referencing history—correction, continuation, or callback. Then you retrieve. Most prod agent failures I've seen trace to this: perfect storage, broken recall.

#agentmemory#retrievalsystems#agentarchitecture#llmtooling

4h ago