--- title: "mengram vs Memori" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/alibaizhanov-mengram-vs-memorilabs-memori" tools: ["alibaizhanov-mengram", "memorilabs-memori"] --- # mengram vs Memori *GraphCanon updated Sep 20, 2026* ## Verdict Pick mengram if mengram provides human-like memory capabilities for AI agents, including semantic, episodic, and procedural memory, enabling learning from experiences and failures. It offers free API access, Python and JS SDKs, and is a; 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. [mengram](https://mengram.io) reports 196 GitHub stars, 34 forks, and 25 open issues, last pushed Sep 16, 2026. [Memori](https://memorilabs.ai) has 16k stars, 3.2k forks, and 33 open issues, last pushed Aug 18, 2026. Figures are from public GitHub metadata via [mengram's repository](https://github.com/alibaizhanov/mengram) and [Memori's repository](https://github.com/MemoriLabs/Memori). | | [mengram](/tools/alibaizhanov-mengram.md) | [Memori](/tools/memorilabs-memori.md) | | --- | --- | --- | | Tagline | Human-like memory for AI agents | Agent-native memory infrastructure for LLM systems | | Stars | 196 | 16,130 | | Forks | 34 | 3,188 | | Open issues | 25 | 33 | | Language | Python | Python | | Adopt for | mengram provides human-like memory capabilities for AI agents, including semantic, episodic, and procedural memory, enabling learning from experiences and failures. It offers free API access, Python and JS SDKs, and is a | 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 | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | Other | | Categories | AI Agents, Data & Retrieval | AI Agents, Data & Retrieval | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [mengram](/tools/alibaizhanov-mengram.md) | [Memori](/tools/memorilabs-memori.md) | | --- | --- | --- | | Days since push | 1d | 0d | | Open issues (now) | 25 | 33 | | Stars delta | +12 (30d) | +515 (30d) | | Open issues delta | -2 (30d) | +7 (30d) | | Owner type | User | Organization | | Full report | [trust report](/tools/alibaizhanov-mengram/trust.md) | [trust report](/tools/memorilabs-memori/trust.md) | ## Decision facts: mengram - **Adopt for:** mengram provides human-like memory capabilities for AI agents, including semantic, episodic, and procedural memory, enabling learning from experiences and failures. It offers free API access, Python and JS SDKs, and is a ## 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 ## Choose when ### Choose mengram if… - License: mengram is Apache-2.0, Memori is Other. - Tags unique to mengram: ai-agents, ai-memory, claude-desktop, cognitive-architecture. - When you need an AI agent that can learn from its experiences and failures, leveraging semantic, episodic, and procedural memory capabilities. ### Choose Memori if… - License: Memori is Other, mengram is Apache-2.0. - Tags unique to Memori: enterprise, llm, memory-management, python. - 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 NOT to use mengram - If your project does not require the specific memory capabilities of semantic, episodic, and procedural memory, mengram might offer more features than necessary. - If you are looking for a tool that does not require the setup of an MCP server, mengram might not be the best fit as it involves configuring this server. - For projects that do not need integration with LangChain, CrewAI, or OpenClaw, the specific integrations provided by mengram may not be beneficial. - If your AI agent development does not benefit from the use of pgvector, mengram's recent debugging efforts in this area may not be relevant to your needs. ## When NOT to use Memori - （TypeScriptPython），MemoriSDK。 ## Common questions ### What is the difference between mengram and Memori? mengram: Human-like memory for AI agents. Memori: Agent-native memory infrastructure for LLM systems. See the comparison table for live GitHub stats and shared categories. ### When should I choose mengram over Memori? Choose mengram over Memori when License: mengram is Apache-2.0, Memori is Other; Tags unique to mengram: ai-agents, ai-memory, claude-desktop, cognitive-architecture; When you need an AI agent that can learn from its experiences and failures, leveraging semantic, episodic, and procedural memory capabilities. ### When should I choose Memori over mengram? Choose Memori over mengram when License: Memori is Other, mengram is Apache-2.0; Tags unique to Memori: enterprise, llm, memory-management, python; 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 avoid mengram? If your project does not require the specific memory capabilities of semantic, episodic, and procedural memory, mengram might offer more features than necessary. If you are looking for a tool that does not require the setup of an MCP server, mengram might not be the best fit as it involves configuring this server. For projects that do not need integration with LangChain, CrewAI, or OpenClaw, the specific integrations provided by mengram may not be beneficial. If your AI agent development does not benefit from the use of pgvector, mengram's recent debugging efforts in this area may not be relevant to your needs. ### When should I avoid Memori? （TypeScriptPython），MemoriSDK。 ### Is mengram or Memori more popular on GitHub? Memori has more GitHub stars (16,130 vs 196). Stars measure visibility, not whether either tool fits your constraints. ### Are mengram and Memori open source? Yes - both are open-source projects on GitHub (mengram: Apache-2.0, Memori: Other). ### Where can I find alternatives to mengram or Memori? GraphCanon lists graph-backed alternatives at [mengram alternatives](/tools/alibaizhanov-mengram/alternatives) and [Memori alternatives](/tools/memorilabs-memori/alternatives) ([mengram markdown twin](/tools/alibaizhanov-mengram/alternatives.md), [Memori markdown twin](/tools/memorilabs-memori/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/alibaizhanov-mengram-vs-memorilabs-memori.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, mengram or Memori? mengram: Very active. Memori: 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 mengram and Memori? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [mengram trust report](/tools/alibaizhanov-mengram/trust); [Memori trust report](/tools/memorilabs-memori/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=alibaizhanov-mengram`](/api/graphcanon/graph?tool=alibaizhanov-mengram) - 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/_