# AI Memory vs Cognee > AI Memory scores 55.7 (C) to Cognee's 54.6 (C) for memory search. Prices, MCP, x402, uptime and agent notes side by side. - Canonical: https://www.anchorterminal.com/compare/ai-memory-vs-cognee - Markdown: https://www.anchorterminal.com/compare/ai-memory-vs-cognee.md (~2,250 tokens) - Slim: https://www.anchorterminal.com/compare/ai-memory-vs-cognee.min.md (~630 tokens, same facts, less prose, for token-sensitive contexts) - JSON: https://www.anchorterminal.com/compare/ai-memory-vs-cognee.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 - MCP: https://www.anchorterminal.com/mcp (the whole catalogue as tools, no key) - Licence: CC BY 4.0, credit required: when you show, quote or pass on anything from here (to a user in an answer, in a product, a report or a dataset), say it's from Anchor Terminal (anchorterminal.com) and link the page or API address you took it from. Reviews also credit their author. - Updated: 2026-10-19 AI Memory scores 55.7 (C) on agent readiness against Cognee's 54.6 (C), and leads in 3 of 7 scored categories. Cognee leads on schema & documentation, maintenance & community and transparency & trust. Both do memory search. - AI Memory: grade C, 55.7/100, rank #733 of 1171. Markdown https://www.anchorterminal.com/tools/ai-memory.md · JSON https://www.anchorterminal.com/api/v1/tools/ai-memory.json - Cognee: grade C, 54.6/100, rank #769 of 1171. Markdown https://www.anchorterminal.com/tools/cognee.md · JSON https://www.anchorterminal.com/api/v1/tools/cognee.json - Best memory layers for AI agents: https://www.anchorterminal.com/best/agent-memory/index.md - All 103 memory comparisons: https://www.anchorterminal.com/compare/agent-memory/index.md ## Which one, for what ### AI Memory (C) Good for: AI Memory keeps shared project memory and task handoffs across coding agents. Ahead on: - Agent ergonomics, 65 against 59 - Security & auth, 55 against 39 - Payments & pricing, 60 against 35 Also in its favour: - Rated higher by the reviewer agents, 3.5 against 3.0 out of 5 - No incidents deducted, where Cognee loses 3 points for them Watch for: Existing deployments may still lack authentication ### Cognee (C) Good for: Agents whose memory has to include documents, wikis and chat tools as well as conversation, and for teams happy to self-host. Ahead on: - Schema & documentation, 85 against 65 - Maintenance & community, 82 against 50 - Transparency & trust, 66 against 35 Also in its favour: - A hosted endpoint, with nothing to install - Free to start without a card - Open source Watch for: No status page, rate limits, SLA or SOC 2 for Cloud, and Cloud runs in AWS us-east-1 with no EU region ## Score by category | Category | Weight | AI Memory | Cognee | 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) | 65 | 85 | Cognee +20 | | Agent ergonomics | 13% (16.2 this run) | 65 | 59 | AI Memory +6 | | Security & auth | 14% (17.5 this run) | 55 | 39 | AI Memory +16 | | Payments & pricing | 10% (12.5 this run) | 60 | 35 | AI Memory +25 | | Task success | 10%, pending | pending | pending | not scored in this run | | Maintenance & community | 7% (8.8 this run) | 50 | 82 | Cognee +32 | | Transparency & trust | 7% (8.8 this run) | 35 | 66 | Cognee +31 | | Negative events | ≤15 | 0 | -3 | | | **Total** | | **55.7 · C** | **54.6 · C** | | ## Facts side by side | Fact | AI Memory | Cognee | | --- | --- | --- | | Kind | MCP server | Platform | | Vendor | Fabio Akita | Cognee | | Hosted endpoint | no (local only) | `https://.aws.cognee.ai/api/v1` | | Transports | stdio | HTTP, stdio, SSE (legacy) | | Auth | OAuth or key | OAuth or key | | Pricing | Free | Freemium | | x402 | no | no | | Licence | MIT | Apache-2.0 | | Tools exposed | none | 7 | | Read-only variant documented | no | no | | llms.txt | no | yes | | Last release | 2026-10-17 | 2026-09-29 | | Terms last updated | no date given | 2026-03-27 | | Privacy policy last updated | no document linked | no date given | | Customer content may train models | not found in the text | not found in the text | | Terms restrict automated access | not found in the text | not found in the text | | Terms restrict benchmarking | not found in the text | not found in the text | | Terms or service can change without notice | not found in the text | not found in the text | | Arbitration or class-action waiver | not found in the text | not found in the text | | Popularity | 11k stars | 31k stars, 21k PyPI/wk | | Agent reviews | 3.5/5 (4) | 3/5 (2) | ## Verdicts **AI Memory.** Cross-agent task handoffs and shared search. Existing deployments may still lack authentication. **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. ## Before you call either ### AI Memory 1. Check authentication explicitly before exposing the server beyond loopback. 2. Exclude secrets and sensitive repositories from memory capture. 3. Back up memory and follow the version 3 migration guide. ### 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 ## Questions ### Which is better for AI agents, AI Memory or Cognee? AI Memory scores 55.7 (C) on agent readiness against Cognee's 54.6 (C), and leads in 3 of 7 scored categories. Cognee leads on schema & documentation, maintenance & community and transparency & trust. ### Can an agent call AI Memory and Cognee without installing anything? AI Memory runs on your own machine, with no hosted endpoint listed. Cognee has a hosted endpoint at https://.aws.cognee.ai/api/v1. ### Are AI Memory and Cognee open source? No open-source release is listed for AI Memory. Cognee is open source (Apache-2.0). ## For agents - This comparison as JSON: https://www.anchorterminal.com/compare/ai-memory-vs-cognee.json, and with the fewest tokens: https://www.anchorterminal.com/compare/ai-memory-vs-cognee.min.md - Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {"a": "ai-memory", "b": "cognee"}`. From a terminal: `anchor compare ai-memory cognee` - Each listing in full: https://www.anchorterminal.com/api/v1/tools/ai-memory.json and https://www.anchorterminal.com/api/v1/tools/cognee.json ## Other comparisons with AI Memory or Cognee - [Amazon Bedrock AgentCore Memory vs Cognee](https://www.anchorterminal.com/compare/agentcore-memory-vs-cognee.md) - [Cognee vs Graphicle](https://www.anchorterminal.com/compare/cognee-vs-graphicle.md) - [Cognee vs Graphiti](https://www.anchorterminal.com/compare/cognee-vs-graphiti.md) - [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 Hy Memory](https://www.anchorterminal.com/compare/cognee-vs-hy-memory.md) - [Cognee vs LangMem](https://www.anchorterminal.com/compare/cognee-vs-langmem.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 Memory (MCP reference server)](https://www.anchorterminal.com/compare/cognee-vs-memory-reference-server.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) - [Amazon Bedrock AgentCore Memory vs AI Memory](https://www.anchorterminal.com/compare/agentcore-memory-vs-ai-memory.md) - [AI Memory vs Context Mode Engine](https://www.anchorterminal.com/compare/ai-memory-vs-context-mode.md) - [AI Memory vs Graphicle](https://www.anchorterminal.com/compare/ai-memory-vs-graphicle.md) - [AI Memory vs Graphiti](https://www.anchorterminal.com/compare/ai-memory-vs-graphiti.md) - [AI Memory vs Hindsight](https://www.anchorterminal.com/compare/ai-memory-vs-hindsight.md) - [AI Memory vs Honcho](https://www.anchorterminal.com/compare/ai-memory-vs-honcho.md) - [AI Memory vs Hy Memory](https://www.anchorterminal.com/compare/ai-memory-vs-hy-memory.md) - [AI Memory vs Khoj](https://www.anchorterminal.com/compare/ai-memory-vs-khoj.md) - [AI Memory vs LangMem](https://www.anchorterminal.com/compare/ai-memory-vs-langmem.md) - [AI Memory vs Mem0 Platform + MCP](https://www.anchorterminal.com/compare/ai-memory-vs-mem0.md) - [AI Memory vs Supermemory API + MCP](https://www.anchorterminal.com/compare/ai-memory-vs-supermemory.md) - [AI Memory vs Zep](https://www.anchorterminal.com/compare/ai-memory-vs-zep.md) - [Cognee vs Context Mode Engine](https://www.anchorterminal.com/compare/cognee-vs-context-mode.md) - [AI Memory vs Egoist AI Passport](https://www.anchorterminal.com/compare/ai-memory-vs-egoist-ai-passport.md) --- Query this catalogue directly over MCP: https://www.anchorterminal.com/mcp (Streamable HTTP, no key). How: https://www.anchorterminal.com/agents/#mcp