A temporal knowledge graph every agent can query — so the fleet remembers, and knows when a fact stopped being true.
Agents without memory repeat themselves and contradict last week's decision. A vector store alone forgets relationships and has no sense of time — it can't tell you that a fact was true in March and superseded in May.
So I stood up Graphiti as the fleet's shared long-term memory. Every markdown source of truth — instructions, handoffs, audits, strategies, architecture — is ingested as an episode; the system extracts entities and temporal facts, dedupes, and summarizes into a queryable graph. Agents query it over MCP with search_nodes, search_facts, and get_episodes. I modeled 19 domain entity types (App, Service, Decision, Incident, Integration, Credential…) and wired a post-commit hook so the graph stays current without anyone tending it. New facts resolve to existing entities by embedding similarity + name match; a contradicting fact sets an invalid-at timestamp on the prior edge, so queries return only what's currently true.
markdown sources Graphiti (Railway) any agent ──────────────── ───────────────── ───────── instructions add_memory search_nodes handoffs · audits ─────▶ entity extract ◀───── search_facts strategies · docs temporal facts get_episodes READMEs dedupe · summarize │ MCP │ │ ▼ │ ┌─────────────────────────────┐ │ │ FalkorDB graph │ ◀───────┘ │ + Voyage embeddings │ │ (Gemini Flash extraction) │ └─────────────────────────────┘ auto-sync: post-commit hook → graph stays current