--- title: "Memori vs cognee" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/memorilabs-memori-vs-topoteretes-cognee" tools: ["memorilabs-memori", "topoteretes-cognee"] --- # Memori vs cognee *GraphCanon updated Aug 19, 2026* ## Verdict Pick Memori if memori is an agent-native memory infrastructure layer that converts agent execution and conversation into a structured, persistent state for use in production systems. It supports various deployment environments such as云; pick cognee if when evaluating Cognee, consider its self-hosted persistence capability and the extensive support it offers through multiple programming languages (Python, Rust, TypeScript). It uses vector. [Memori](https://memorilabs.ai) reports 16k GitHub stars, 3.2k forks, and 33 open issues, last pushed Aug 18, 2026. [cognee](https://www.cognee.ai) has 30k stars, 2.9k forks, and 359 open issues, last pushed Aug 19, 2026. Figures are from public GitHub metadata via [Memori's repository](https://github.com/MemoriLabs/Memori) and [cognee's repository](https://github.com/topoteretes/cognee). | | [Memori](/tools/memorilabs-memori.md) | [cognee](/tools/topoteretes-cognee.md) | | --- | --- | --- | | Tagline | Agent-native memory infrastructure for LLM systems | Cognee is the open-source AI memory platform for agents. | | Stars | 16,130 | 30,121 | | Forks | 3,188 | 2,937 | | Open issues | 33 | 359 | | Language | Python | Python | | Adopt for | Memori is an agent-native memory infrastructure layer that converts agent execution and conversation into a structured, persistent state for use in production systems. It supports various deployment environments such as云 | When evaluating Cognee, consider its self-hosted persistence capability and the extensive support it offers through multiple programming languages (Python, Rust, TypeScript). It uses vector databases to provide efficient | | Persona | - | - | | Runtime | - | - | | License | Other | Apache-2.0 | | Categories | AI Agents, Data & Retrieval | AI Agents, Vector Databases | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [Memori](/tools/memorilabs-memori.md) | [cognee](/tools/topoteretes-cognee.md) | | --- | --- | --- | | Open issues (now) | 33 | 359 | | Stars delta | +515 (30d) | +1.5k (30d) | | Open issues delta | +7 (30d) | -265 (30d) | | Full report | [trust report](/tools/memorilabs-memori/trust.md) | [trust report](/tools/topoteretes-cognee/trust.md) | ## Shared compatibility - **Node.js**: [Memori](/tools/memorilabs-memori.md) - Node.js runtime; [cognee](/tools/topoteretes-cognee.md) - Node.js runtime - **Python**: [Memori](/tools/memorilabs-memori.md) - Python runtime; [cognee](/tools/topoteretes-cognee.md) - Python runtime ## Decision facts: Memori - **Adopt for:** Memori is an agent-native memory infrastructure layer that converts agent execution and conversation into a structured, persistent state for use in production systems. It supports various deployment environments such as云 ## Decision facts: cognee - **Adopt for:** When evaluating Cognee, consider its self-hosted persistence capability and the extensive support it offers through multiple programming languages (Python, Rust, TypeScript). It uses vector databases to provide efficient ## Choose when ### Choose Memori if… - License: Memori is Other, cognee is Apache-2.0. - Tags unique to Memori: enterprise, llm, memory-management, rag. - Also covers Data & Retrieval. - 您需要一个可以在多种部署环境中工作的内存基础设施，包括云端和本地环境时。 ### Choose cognee if… - License: cognee is Apache-2.0, Memori is Other. - Tags unique to cognee: ai-agents, docker, knowledge-graph, open-source. - Also covers Vector Databases. - - You are developing AI agents that require persistent long-term memory across different sessions. ## When NOT to use Memori - （TypeScriptPython），MemoriSDK。 ## When NOT to use cognee - - Your project does not require persistent memory storage, or your agents operate fully within short-lived sessions without the need for past context. - - You are aiming for minimal setup overhead and prefer a cloud-based solution that requires less maintenance on your infrastructure side. ## Common questions ### What is the difference between Memori and cognee? Memori: Agent-native memory infrastructure for LLM systems. cognee: Cognee is the open-source AI memory platform for agents.. See the comparison table for live GitHub stats and shared categories. ### When should I choose Memori over cognee? Choose Memori over cognee when License: Memori is Other, cognee is Apache-2.0; Tags unique to Memori: enterprise, llm, memory-management, rag; Also covers Data & Retrieval; 您需要一个可以在多种部署环境中工作的内存基础设施，包括云端和本地环境时。. ### When should I choose cognee over Memori? Choose cognee over Memori when License: cognee is Apache-2.0, Memori is Other; Tags unique to cognee: ai-agents, docker, knowledge-graph, open-source; Also covers Vector Databases; - You are developing AI agents that require persistent long-term memory across different sessions. ### When should I avoid Memori? （TypeScriptPython），MemoriSDK。 ### When should I avoid cognee? - Your project does not require persistent memory storage, or your agents operate fully within short-lived sessions without the need for past context. - You are aiming for minimal setup overhead and prefer a cloud-based solution that requires less maintenance on your infrastructure side. ### Is Memori or cognee more popular on GitHub? cognee has more GitHub stars (30,121 vs 16,130). Stars measure visibility, not whether either tool fits your constraints. ### Are Memori and cognee open source? Yes - both are open-source projects on GitHub (Memori: Other, cognee: Apache-2.0). ### Where can I find alternatives to Memori or cognee? GraphCanon lists graph-backed alternatives at [Memori alternatives](/tools/memorilabs-memori/alternatives) and [cognee alternatives](/tools/topoteretes-cognee/alternatives) ([Memori markdown twin](/tools/memorilabs-memori/alternatives.md), [cognee markdown twin](/tools/topoteretes-cognee/alternatives.md)), ranked by typed relationship edges rather than popularity votes. ### Is there a machine-readable version of this comparison? Yes. The markdown twin at [this comparison](/compare/memorilabs-memori-vs-topoteretes-cognee.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, Memori or cognee? Memori: Very active. cognee: Very active. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance. ### Where are the full trust reports for Memori and cognee? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [Memori trust report](/tools/memorilabs-memori/trust); [cognee trust report](/tools/topoteretes-cognee/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=memorilabs-memori`](/api/graphcanon/graph?tool=memorilabs-memori) - LLM index: [/llms.txt](/llms.txt) - Full corpus: [/llms-full.txt](/llms-full.txt) _GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_