How we designed shared lessons for AI agents without trusting every write-back
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Design of shared memory for AI agents with write-back trust, directly matches AI agent orchestration interest.
Bhived, an open-source MCP gateway, implements a five-stage loop (query → apply → activate → verify → write-back) to prevent shared agent memory from amplifying mistakes. It fuses dense/sparse vectors (Qdrant), BM25 (FalkorDB), and graph traversal via Reciprocal Rank Fusion, then returns candidates with warnings and disputes rather than unquestionable truth. Tenant isolation is enforced server-side by API key, and write-backs are connected to the query_id that influenced them, enabling failure tracking and evidence-based lesson storage.