Comparison
mem0 vs Yuxi
Verdict
Pick mem0 if mem0 is a Python-based memory infrastructure for AI agents and applications, offering a persistent context layer suitable for production environments; pick Yuxi if yuxi is a multi-tenant Agent Harness platform that integrates knowledge bases and knowledge graphs with LangChain + Vue + FastAPI.
Markdown twin · mem0 alternatives · Yuxi alternatives
GraphCanon updated Sep 20, 2026
9views this month
Trust & integrity
| Signal | mem0 | Yuxi |
|---|---|---|
| Maintenance | Very active (0d since push) As of Sep 18, 2026 · github_public_v1 | Very active (0d since push) As of Aug 18, 2026 · github_public_v1 |
| Provenance | Not a fork · Organization account As of Sep 18, 2026 · github_public_v1 | Not a fork · Personal account As of Aug 18, 2026 · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of Sep 18, 2026 · osv@v1 | No lockfile (source not queried) As of Jul 11, 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
- mem0
- Drop-in memory infrastructure for AI agents and apps
- Yuxi
- A multi-tenant Agent Harness platform integrating knowledge base and knowledge graphs with LangChain + Vue + FastAPI.
Stars
- mem0
- 66k
- Yuxi
- 6.5k
Forks
- mem0
- 7.7k
- Yuxi
- 965
Open issues
- mem0
- 754
- Yuxi
- 81
Language
- mem0
- Python
- Yuxi
- Python
Adopt for
- mem0
- mem0 is a Python-based memory infrastructure for AI agents and applications, offering a persistent context layer suitable for production environments.
- Yuxi
- Yuxi is a multi-tenant Agent Harness platform that integrates knowledge bases and knowledge graphs with LangChain + Vue + FastAPI.
Persona
- mem0
- -
- Yuxi
- -
Runtime
- mem0
- -
- Yuxi
- -
License
- mem0
- mem0 is distributed under the Apache-2.0 license, allowing for broad usage and modification with attribution.
- Yuxi
- MIT
Last pushed
- mem0
- Sep 18, 2026
- Yuxi
- Aug 18, 2026
Categories
- mem0
- AI Agents, Data & Retrieval
- Yuxi
- AI Agents, Data & Retrieval
Trust and health
Open issues (now)
- mem0
- 754
- Yuxi
- 81
Stars delta
- mem0
- +2.8k (30d)
- Yuxi
- +336 (30d)
Open issues delta
- mem0
- +63 (30d)
- Yuxi
- 0 (30d)
Owner type
- mem0
- Organization
- Yuxi
- User
Full report
- mem0
- Trust report
- Yuxi
- Trust report
Choose mem0 if…
- License: mem0 is Apache-2.0, Yuxi is MIT.
- 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..
- Tags unique to mem0: agentic-memory, ai-agents, genai, long-term-memory.
- 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.
Choose Yuxi if…
- License: Yuxi is MIT, mem0 is Apache-2.0.
- Tags unique to Yuxi: docker, fastapi, harness, kbqa.
- Yuxi ships Docker support for self-hosted deployment.
- - Yuxi is ideal if you are looking for an agent-driven platform that supports RAG retrieval, Milvus, and integrates Neo4j for managing knowledge bases and graphs.
When NOT to use Yuxi
- - Avoid Yuxi if you need a platform that heavily relies on LightRAG as the original integration has been replaced by a custom Milvus-based implementation.
- - Consider alternatives if you require advanced customization of document parsing beyond MinerU, PaddleX, and RapidOCR provided in Yuxi.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- 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 (xerrors/Yuxi) · observed Sep 20, 2026
- GitHub forks (xerrors/Yuxi) · observed Sep 20, 2026
- Last push (xerrors/Yuxi) · observed Aug 18, 2026
- License file (MIT) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 15, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: mem0 66k · Yuxi 6.5k (synced Sep 20, 2026).
Common questions
- What is the difference between mem0 and Yuxi?
- mem0: Drop-in memory infrastructure for AI agents and apps. Yuxi: A multi-tenant Agent Harness platform integrating knowledge base and knowledge graphs with LangChain + Vue + FastAPI.. See the comparison table for live GitHub stats and shared categories.
- When should I choose mem0 over Yuxi?
- Choose mem0 over Yuxi when License: mem0 is Apache-2.0, Yuxi is MIT; 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.; Tags unique to mem0: agentic-memory, ai-agents, genai, long-term-memory; When you need a persistent memory layer for AI agents that can be easily integrated into existing applications without significant changes.
- When should I choose Yuxi over mem0?
- Choose Yuxi over mem0 when License: Yuxi is MIT, mem0 is Apache-2.0; Tags unique to Yuxi: docker, fastapi, harness, kbqa; Yuxi ships Docker support for self-hosted deployment; - Yuxi is ideal if you are looking for an agent-driven platform that supports RAG retrieval, Milvus, and integrates Neo4j for managing knowledge bases and graphs.
- 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.
- When should I avoid Yuxi?
- - Avoid Yuxi if you need a platform that heavily relies on LightRAG as the original integration has been replaced by a custom Milvus-based implementation. - Consider alternatives if you require advanced customization of document parsing beyond MinerU, PaddleX, and RapidOCR provided in Yuxi.
- Is mem0 or Yuxi more popular on GitHub?
- mem0 has more GitHub stars (65,557 vs 6,500). Stars measure visibility, not whether either tool fits your constraints.
- Are mem0 and Yuxi open source?
- Yes - both are open-source projects on GitHub (mem0: Apache-2.0, Yuxi: MIT).
- Where can I find alternatives to mem0 or Yuxi?
- GraphCanon lists graph-backed alternatives at mem0 alternatives and Yuxi alternatives (mem0 markdown twin, Yuxi 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, mem0 or Yuxi?
- mem0: Very active. Yuxi: 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 mem0 and Yuxi?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: mem0 trust report; Yuxi trust report.