--- title: "OpenMemory vs Memori" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/caviraoss-openmemory-vs-memorilabs-memori" tools: ["caviraoss-openmemory", "memorilabs-memori"] --- # OpenMemory vs Memori Neutral, constraint-first comparison with live GitHub stats. | | [OpenMemory](/tools/caviraoss-openmemory.md) | [Memori](/tools/memorilabs-memori.md) | | --- | --- | --- | | Tagline | Local persistent memory store for LLM applications | Memory infrastructure for AI agents that captures actions and conversations into a structured, persistent state. | | Stars | 4,315 | 15,549 | | Forks | 489 | 2,784 | | Open issues | 13 | 21 | | Language | TypeScript | Python | | Adopt for | Decision-critical facts for OpenMemory: Local persistent memory store for LLM applications. | Memori is designed for enterprise users seeking seamless memory infrastructure that integrates with existing data architectures across multiple deployment environments. | | Persona | - | - | | Runtime | - | - | | License | OpenMemory is distributed under the Apache-2.0 license. | Memori is licensed under the Apache License 2.0. | | Categories | AI Agents, Evaluation & Observability, Data & Retrieval, Model Training | Model Training, AI Agents | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [OpenMemory](/tools/caviraoss-openmemory.md) | [Memori](/tools/memorilabs-memori.md) | | --- | --- | --- | | Days since push | 11d | 22d | | Open issues (now) | 13 | 21 | | Full report | [trust report](/tools/caviraoss-openmemory/trust.md) | [trust report](/tools/memorilabs-memori/trust.md) | **Typed relationship:** OpenMemory _(alternative)_ Memori Both Memori and OpenMemory provide memory infrastructure for AI agents with persistent storage of actions, conversations, and preferences. ## Shared compatibility - **Node.js**: [OpenMemory](/tools/caviraoss-openmemory.md) - Node.js runtime; [Memori](/tools/memorilabs-memori.md) - Node.js runtime - **Python**: [OpenMemory](/tools/caviraoss-openmemory.md) - Python runtime; [Memori](/tools/memorilabs-memori.md) - Python runtime ## Decision facts: OpenMemory - **Requirements:** Requires Python or Node.js for SDK usage; Local SQLite support by default with optional configuration for external DB like Postgres; Dependencies include TypeScript environment for setup and use - **Adopt for:** Decision-critical facts for OpenMemory: Local persistent memory store for LLM applications. - **License detail:** OpenMemory is distributed under the Apache-2.0 license. ## Decision facts: Memori - **Pricing:** unknown - Pricing details are not explicitly stated in the provided repository content. - **Requirements:** The tool requires set up of an API key for Memori and your LLM - **Adopt for:** Memori is designed for enterprise users seeking seamless memory infrastructure that integrates with existing data architectures across multiple deployment environments. - **License detail:** Memori is licensed under the Apache License 2.0. ## Choose when ### Choose OpenMemory if… - OpenMemory is primarily TypeScript; Memori is Python. - License: OpenMemory is Apache-2.0, Memori is Other. - Requirements: Requires Python or Node.js for SDK usage; Local SQLite support by default with optional configuration for external DB like Postgres; Dependencies include TypeScript environment for setup and use. - Both Memori and OpenMemory provide memory infrastructure for AI agents with persistent storage of actions, conversations, and preferences. - Tags unique to OpenMemory: self-hosted, vector-database, llm, ai-infrastructure. - Also covers Evaluation & Observability, Data & Retrieval. - - You require real long-term memory capabilities that go beyond simple embeddings in a table ### Choose Memori if… - Memori is primarily Python; OpenMemory is TypeScript. - License: Memori is Other, OpenMemory is Apache-2.0. - Pricing: Pricing details are not explicitly stated in the provided repository content.. - Requirements: The tool requires set up of an API key for Memori and your LLM. - Both Memori and OpenMemory provide memory infrastructure for AI agents with persistent storage of actions, conversations, and preferences. - Tags unique to Memori: stateful, memory-management, ai-memory, llm-agnostic. - When you need a system to turn agent execution and conversation into structured, persistent state without disrupting your current IT environment. ## When NOT to use OpenMemory - - When a fully managed cloud service with no local setup and self-hosted capabilities is preferred - - If the project specifically requires integration only with vector databases or RAG (Retrieval-Augmented Generation) systems - - Projects that are not compatible with TypeScript for backend or JavaScript for application use, as OpenMemory's SDKs are built for these environments - - Situations where the project cannot benefit from local-first data storage and prefers cloud-based solutions ## When NOT to use Memori - Avoid if you need a tool that natively extends beyond memory management to include features like autonomous agent navigation or extensive model training utilities, as Memori focuses specifically on AI ## Common questions ### What is the difference between OpenMemory and Memori? OpenMemory: Local persistent memory store for LLM applications. Memori: Memory infrastructure for AI agents that captures actions and conversations into a structured, persistent state.. See the comparison table for live GitHub stats and shared categories. ### When should I choose OpenMemory over Memori? Choose OpenMemory over Memori when OpenMemory is primarily TypeScript; Memori is Python; License: OpenMemory is Apache-2.0, Memori is Other; Requirements: Requires Python or Node.js for SDK usage; Local SQLite support by default with optional configuration for external DB like Postgres; Dependencies include TypeScript environment for setup and use; Both Memori and OpenMemory provide memory infrastructure for AI agents with persistent storage of actions, conversations, and preferences; Tags unique to OpenMemory: self-hosted, vector-database, llm, ai-infrastructure; Also covers Evaluation & Observability, Data & Retrieval; - You require real long-term memory capabilities that go beyond simple embeddings in a table. ### When should I choose Memori over OpenMemory? Choose Memori over OpenMemory when Memori is primarily Python; OpenMemory is TypeScript; License: Memori is Other, OpenMemory is Apache-2.0; Pricing: Pricing details are not explicitly stated in the provided repository content.; Requirements: The tool requires set up of an API key for Memori and your LLM; Both Memori and OpenMemory provide memory infrastructure for AI agents with persistent storage of actions, conversations, and preferences; Tags unique to Memori: stateful, memory-management, ai-memory, llm-agnostic; When you need a system to turn agent execution and conversation into structured, persistent state without disrupting your current IT environment. ### When should I avoid OpenMemory? - When a fully managed cloud service with no local setup and self-hosted capabilities is preferred - If the project specifically requires integration only with vector databases or RAG (Retrieval-Augmented Generation) systems - Projects that are not compatible with TypeScript for backend or JavaScript for application use, as OpenMemory's SDKs are built for these environments - Situations where the project cannot benefit from local-first data storage and prefers cloud-based solutions ### When should I avoid Memori? Avoid if you need a tool that natively extends beyond memory management to include features like autonomous agent navigation or extensive model training utilities, as Memori focuses specifically on AI ### Is OpenMemory or Memori more popular on GitHub? Memori has more GitHub stars (15,549 vs 4,315). Stars measure visibility, not whether either tool fits your constraints. ### Are OpenMemory and Memori open source? Yes - both are open-source projects on GitHub (OpenMemory: Apache-2.0, Memori: Other). ### Where can I find alternatives to OpenMemory or Memori? GraphCanon lists graph-backed alternatives at /tools/caviraoss-openmemory/alternatives and /tools/memorilabs-memori/alternatives (/tools/caviraoss-openmemory/alternatives.md, /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 /compare/caviraoss-openmemory-vs-memorilabs-memori.md mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, OpenMemory or Memori? OpenMemory: Active. Memori: 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 OpenMemory and Memori? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: OpenMemory: /tools/caviraoss-openmemory/trust; Memori: /tools/memorilabs-memori/trust. --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=caviraoss-openmemory`](/api/graphcanon/graph?tool=caviraoss-openmemory) - 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/_