Comparison
Cognee vs Mem0
Cognee and Mem0 both give AI agents persistent memory, but they take different approaches. Cognee builds a knowledge graph plus vector index over your data and runs wherever you do; Mem0 is a managed memory layer focused on conversational user memory.
Based on public information as of June 2026. See each vendor’s site for current details.
At a glance
| Cognee | Mem0 | |
|---|---|---|
| Open source | Open-source core; the full memory engine runs in your infrastructure | Open-source repo plus a hosted platform |
| Graph + vector retrieval | Knowledge graph combined with vector retrieval (“graph memory”) | Focused on conversational user memory: preferences and session facts |
| Runs fully local | Fully local or self-hosted; Cognee Cloud is optional | Possible via the open-source repo |
| MCP server | Same memory across Claude Code, Cursor, and other MCP clients | See Mem0’s site for current details |
| Managed cloud | Cognee Cloud | Hosted platform; SOC 2 and HIPAA compliance offered |
| Benchmark claims (attributed) | We publish evaluations on our research page rather than a single headline score | LoCoMo 92.5% and LongMemEval 94.4%, as reported by Mem0 (May 2026) |
| Best fit | Open-source, graph-structured, self-hostable memory across heterogeneous data | Lightweight per-user chat memory with a managed service |
When to choose which
Mem0 is a strong fit for lightweight per-user chat memory with a managed service. If your agents mainly need to remember user preferences and session facts in chat-style applications, its hosted platform — with SOC 2 and HIPAA compliance offered, and self-reported scores of 92.5% on LoCoMo and 94.4% on LongMemEval (May 2026) — covers that use case well.
Cognee is the fit when you want open-source, graph-structured, self-hostable memory across heterogeneous data. Combining a knowledge graph with vector retrieval helps with multi-hop questions that flat memory misses, 28+ data source connectors bring in more than chat history, and the MCP server shares one memory across Claude Code, Cursor, and other agents. It runs in production at Bayer, the University of Wyoming, and Knowunity — which ran a POC covering 40,000 students in two days — with 17k+ GitHub stars and 5M+ SDK runs per month behind it.