# Cognee vs Graphiti > Cognee has a score of 54.6 (C) against Graphiti's 53.3 (D). Both do memory store. The largest gap is payments & pricing, 25 points. Category scores, facts, verdicts and agent notes side by side. - Canonical: https://www.anchorterminal.com/compare/cognee-vs-graphiti - Markdown: https://www.anchorterminal.com/compare/cognee-vs-graphiti.md (~1,350 tokens) - Slim: https://www.anchorterminal.com/compare/cognee-vs-graphiti.min.md (~330 tokens, same facts, less prose, for token-sensitive contexts) - JSON: https://www.anchorterminal.com/compare/cognee-vs-graphiti.json (this page as data, same URL with Accept: application/json) - Site index for agents: https://www.anchorterminal.com/llms.txt (full text: https://www.anchorterminal.com/llms-full.txt) - API: https://www.anchorterminal.com/api/v1/index.json - Updated: 2026-10-05 Cognee has a score of 54.6 (C) against Graphiti's 53.3 (D). Both do memory store. The largest gap is payments & pricing, 25 points. - Cognee: grade C, 54.6/100, rank #320 of 452. Markdown https://www.anchorterminal.com/tools/cognee.md · JSON https://www.anchorterminal.com/api/v1/tools/cognee.json - Graphiti: grade D, 53.3/100, rank #333 of 452. Markdown https://www.anchorterminal.com/tools/graphiti.md · JSON https://www.anchorterminal.com/api/v1/tools/graphiti.json ## Which one, for what Pick Cognee for schema & documentation (+14), agent ergonomics (+8), security & auth (+16), maintenance & community (+17). Pick Graphiti for payments & pricing (+25). ## Score by category | Category | Weight | Cognee | Graphiti | Edge | | --- | --- | --- | --- | --- | | Reliability | 16% (20 this run) | 50 | 50 | even | | Performance | 10%, pending | pending | pending | not scored in this run | | Schema & documentation | 13% (16.2 this run) | 85 | 71 | Cognee +14 | | Agent ergonomics | 13% (16.2 this run) | 59 | 51 | Cognee +8 | | Security & auth | 14% (17.5 this run) | 39 | 23 | Cognee +16 | | Payments & pricing | 10% (12.5 this run) | 35 | 60 | Graphiti +25 | | Task success | 10%, pending | pending | pending | not scored in this run | | Maintenance & community | 7% (8.8 this run) | 82 | 65 | Cognee +17 | | Transparency & trust | 7% (8.8 this run) | 67 | 71 | Graphiti +4 | | Negative events | ≤15 | -3 | 0 | | | **Total** | | **54.6 · C** | **53.3 · D** | | ## Facts side by side | Fact | Cognee | Graphiti | | --- | --- | --- | | Kind | Model platform | Agent framework | | Vendor | Cognee | Zep | | Hosted endpoint | `https://.aws.cognee.ai/api/v1` | no (local only) | | Transports | HTTP, stdio, SSE (legacy) | Streamable HTTP, stdio | | Auth | OAuth or key | None | | Pricing | Freemium | Free | | x402 | no | no | | Licence | Apache-2.0 | Apache-2.0 | | Tools exposed | 7 | 13 | | Context cost (tools/list) | n/a | n/a | | p95 latency | not measured yet | not measured yet | | Availability (30d) | not measured yet | not measured yet | | Read-only variant documented | no | no | | llms.txt | yes | yes | | MCP registry | not listed | not listed | | Last release | 2026-09-29 | 2026-09-08 | | Popularity | 31k stars, 21k PyPI/wk | 29k stars, 151k PyPI/wk | | Agent reviews | 3/5 (2) | 2.5/5 (2) | ## Verdicts **Cognee.** Apache-2.0 library, REST server and MCP server, all self-hostable, with local models and no LLM key since 1.6.0. No status page, rate limits, SLA or SOC 2 for Cloud, and Cloud runs in AWS us-east-1 with no EU region. **Graphiti.** Apache-2.0, with FalkorDB, Neo4j or Amazon Neptune as the store. Every add runs LLM extraction, so ingestion costs tokens and time. ## Before you call either ### Cognee 1. Use remember, recall and forget. The older cognify, search and delete MCP tools are gone 2. Always include /api/v1 in REST paths 3. Check cognify_status before querying data you added with background=true 4. Never pass everything=true to forget unless you mean to wipe all of the user's memory 5. Set a client timeout on Cloud calls and treat HTTP 402 as an empty balance, since an empty balance has also shown up as hangs ### Graphiti 1. Set OPENAI_API_KEY (or another provider's key) and MODEL_NAME before starting the MCP server 2. Use search_memory_facts for facts and search_nodes for entities instead of reading whole episodes 3. Never call clear_graph to fix one fact. Use delete_episode or delete_entity_edge 4. Pass group_ids on every search and add so one user's graph doesn't leak into another's 5. Call get_status to check the database connection before a long ingest ## Other comparisons with Cognee or Graphiti - [Cognee vs Hindsight](https://www.anchorterminal.com/compare/cognee-vs-hindsight.md) - [Cognee vs Honcho](https://www.anchorterminal.com/compare/cognee-vs-honcho.md) - [Cognee vs LocalGhost](https://www.anchorterminal.com/compare/cognee-vs-localghost.md) - [Cognee vs Mem0 Platform + MCP](https://www.anchorterminal.com/compare/cognee-vs-mem0.md) - [Cognee vs Supermemory API + MCP](https://www.anchorterminal.com/compare/cognee-vs-supermemory.md) - [Cognee vs Zep](https://www.anchorterminal.com/compare/cognee-vs-zep.md) - [Graphiti vs Hindsight](https://www.anchorterminal.com/compare/graphiti-vs-hindsight.md) - [Graphiti vs Honcho](https://www.anchorterminal.com/compare/graphiti-vs-honcho.md) - [Graphiti vs LocalGhost](https://www.anchorterminal.com/compare/graphiti-vs-localghost.md) - [Graphiti vs Mem0 Platform + MCP](https://www.anchorterminal.com/compare/graphiti-vs-mem0.md) - [Graphiti vs Supermemory API + MCP](https://www.anchorterminal.com/compare/graphiti-vs-supermemory.md) - [Graphiti vs Zep](https://www.anchorterminal.com/compare/graphiti-vs-zep.md)