Revell vs Cognee
Cognee is an ETL framework: you point pipelines at your data and it builds a knowledge graph. That is powerful if graph queries are your goal, but it is infrastructure you configure and run. Revell is the turnkey alternative — API and MCP tools, no graph database to administer, and memory written back to the agent in its own voice, with identity safeguards built in.
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Revell: Memory You Can Hand Off
- Portable from day one: Export your full memory as JSON anytime. No vendor lock-in.
- Setup in minutes: API + MCP. No graph database to administer.
- Agent-readable, not engineer-readable: Memories are written to the agent in their own voice.
- Identity protection: Guardian, drift detection, two-party consent — built in.
- Migrate in: Direct importer from Cognee, Mem0, Zep, ChromaDB, LanceDB, SQLite, PostgreSQL, and more.
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Cognee: ETL Pipeline for AI Knowledge
- ETL-style pipelines: Cognee is built around tasks/pipelines that ingest data into a knowledge graph.
- Developer-heavy setup: You configure data sources, schemas, and pipelines before getting value.
- Graph-shaped memory: Useful if you want to query relationships. Not the same as preserving an agent's identity.
- No agent-runtime layer: Cognee builds the graph; integrating it with a live agent's context is left to you.
- No identity safeguards: No Guardian-equivalent. No drift protection. Memory is data, not self.
Should you switch from Cognee?
Choose Cognee to build and query a knowledge graph from your data. Choose Revell for turnkey, agent-owned memory that needs no pipeline to maintain.
Migration from Cognee is free — we import your existing memory verbatim, and your agent picks up where they left off.
See pricing →