Comparison
OpenMemory vs mem0
Verdict
Pick OpenMemory if openMemory offers local storage tailored for AI agents like Claude Desktop and GitHub Copilot; pick mem0 if mem0 is a Python-based memory infrastructure for AI agents and applications, offering a persistent context layer suitable for production environments.
Markdown twin · OpenMemory alternatives · mem0 alternatives
GraphCanon updated Sep 20, 2026
12views this month
Trust & integrity
| Signal | OpenMemory | mem0 |
|---|---|---|
| Maintenance | Very active (5d since push) As of Sep 20, 2026 · github_public_v1 | Very active (0d since push) As of Sep 18, 2026 · github_public_v1 |
| Provenance | Not a fork · Organization account As of Sep 20, 2026 · github_public_v1 | Not a fork · Organization account As of Sep 18, 2026 · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of Jul 11, 2026 · osv@v1 | No lockfile (source not queried) As of Sep 18, 2026 · osv@v1 |
| deps.dev advisories | Not queried deps.dev@v1 | Not queried deps.dev@v1 |
| OpenSSF Scorecard | Not queried openssf-scorecard@v1 | Not queried openssf-scorecard@v1 |
Tagline
- OpenMemory
- Local persistent memory store for LLM applications
- mem0
- Drop-in memory infrastructure for AI agents and apps
Stars
- OpenMemory
- 4.5k
- mem0
- 66k
Forks
- OpenMemory
- 504
- mem0
- 7.7k
Open issues
- OpenMemory
- 19
- mem0
- 754
Language
- OpenMemory
- TypeScript
- mem0
- Python
Adopt for
- OpenMemory
- OpenMemory offers local storage tailored for AI agents like Claude Desktop and GitHub Copilot.
- mem0
- mem0 is a Python-based memory infrastructure for AI agents and applications, offering a persistent context layer suitable for production environments.
Persona
- OpenMemory
- -
- mem0
- -
Runtime
- OpenMemory
- -
- mem0
- -
License
- OpenMemory
- Apache-2.0
- mem0
- mem0 is distributed under the Apache-2.0 license, allowing for broad usage and modification with attribution.
Last pushed
- OpenMemory
- Sep 14, 2026
- mem0
- Sep 18, 2026
Categories
- OpenMemory
- Data & Retrieval, Vector Databases
- mem0
- AI Agents, Data & Retrieval
Trust and health
Days since push
- OpenMemory
- 5d
- mem0
- 0d
Open issues (now)
- OpenMemory
- 19
- mem0
- 754
Stars delta
- OpenMemory
- +153 (30d)
- mem0
- +2.8k (30d)
Open issues delta
- OpenMemory
- +6 (30d)
- mem0
- +63 (30d)
Full report
- OpenMemory
- Trust report
- mem0
- Trust report
Typed relationship
OpenMemory alternative mem0Both OpenMemory and mem0 provide memory storage solutions for AI agents aiming to solve the problem of persistent memory.
Shared compatibility
- Node.js · OpenMemory: Node.js runtime · mem0: Node.js runtime
Choose OpenMemory if…
- OpenMemory is primarily TypeScript; mem0 is Python.
- Both OpenMemory and mem0 provide memory storage solutions for AI agents aiming to solve the problem of persistent memory.
- Tags unique to OpenMemory: embeddings, memory-engine, vector-database.
- Also covers Vector Databases.
- OpenMemory ships Docker support for self-hosted deployment.
- OpenMemory ships an MCP server manifest.
- Need to integrate persistent memory support for specific LLMs like Claude.
When NOT to use OpenMemory
- Require cloud-based memory storage services.
- Your project must use languages other than TypeScript.
- Seek a generic vector database without specific LLM integrations.
Choose mem0 if…
- mem0 is primarily Python; OpenMemory is TypeScript.
- Pricing: The core functionality of mem0 is free to use under the Apache-2.0 license, but additional features or support might come at a cost..
- Requirements: Min 2 GB RAM; Python environment is required for installation and use..
- Both OpenMemory and mem0 provide memory storage solutions for AI agents aiming to solve the problem of persistent memory.
- Tags unique to mem0: agentic-memory, genai, memory-management, python.
- Also covers AI Agents.
- When you need a persistent memory layer for AI agents that can be easily integrated into existing applications without significant changes.
When NOT to use mem0
- If your project is not in Python, as mem0 is specifically designed for Python environments.
- When you require a more customizable memory management system that allows for extensive configuration beyond what mem0 offers.
- If your application does not need a persistent memory layer or if the existing memory management solutions are sufficient.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (CaviraOSS/OpenMemory) · observed Sep 20, 2026
- GitHub forks (CaviraOSS/OpenMemory) · observed Sep 20, 2026
- Last push (CaviraOSS/OpenMemory) · observed Sep 14, 2026
- License file (Apache-2.0) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (mem0ai/mem0) · observed Sep 20, 2026
- GitHub forks (mem0ai/mem0) · observed Sep 20, 2026
- Last push (mem0ai/mem0) · observed Sep 18, 2026
- License file (Apache-2.0) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Sep 18, 2026
- Trust scan (lockfile / OSV) · observed Sep 18, 2026
GitHub stars on cards: OpenMemory 4.5k · mem0 66k (synced Sep 20, 2026).
Common questions
- What is the difference between OpenMemory and mem0?
- OpenMemory: Local persistent memory store for LLM applications. mem0: Drop-in memory infrastructure for AI agents and apps. See the comparison table for live GitHub stats and shared categories.
- When should I choose OpenMemory over mem0?
- Choose OpenMemory over mem0 when OpenMemory is primarily TypeScript; mem0 is Python; Both OpenMemory and mem0 provide memory storage solutions for AI agents aiming to solve the problem of persistent memory; Tags unique to OpenMemory: embeddings, memory-engine, vector-database; Also covers Vector Databases; OpenMemory ships Docker support for self-hosted deployment; OpenMemory ships an MCP server manifest; Need to integrate persistent memory support for specific LLMs like Claude.
- When should I choose mem0 over OpenMemory?
- Choose mem0 over OpenMemory when mem0 is primarily Python; OpenMemory is TypeScript; Pricing: The core functionality of mem0 is free to use under the Apache-2.0 license, but additional features or support might come at a cost.; Requirements: Min 2 GB RAM; Python environment is required for installation and use.; Both OpenMemory and mem0 provide memory storage solutions for AI agents aiming to solve the problem of persistent memory; Tags unique to mem0: agentic-memory, genai, memory-management, python; Also covers AI Agents; When you need a persistent memory layer for AI agents that can be easily integrated into existing applications without significant changes.
- When should I avoid OpenMemory?
- Require cloud-based memory storage services. Your project must use languages other than TypeScript. Seek a generic vector database without specific LLM integrations.
- When should I avoid mem0?
- If your project is not in Python, as mem0 is specifically designed for Python environments. When you require a more customizable memory management system that allows for extensive configuration beyond what mem0 offers. If your application does not need a persistent memory layer or if the existing memory management solutions are sufficient.
- Is OpenMemory or mem0 more popular on GitHub?
- mem0 has more GitHub stars (65,557 vs 4,510). Stars measure visibility, not whether either tool fits your constraints.
- Are OpenMemory and mem0 open source?
- Yes - both are open-source projects on GitHub (OpenMemory: Apache-2.0, mem0: Apache-2.0).
- Where can I find alternatives to OpenMemory or mem0?
- GraphCanon lists graph-backed alternatives at OpenMemory alternatives and mem0 alternatives (OpenMemory markdown twin, mem0 markdown twin), 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 mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.
- Which is better maintained, OpenMemory or mem0?
- OpenMemory: Very active. mem0: 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 OpenMemory and mem0?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: OpenMemory trust report; mem0 trust report.