OpenMemory vs Memori

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.