Comparison
EverOS vs MemOS
Verdict
Pick EverOS if everOS is designed as a portable and user-owned memory management solution that supports Markdown format, facilitating easy cross-app memory transfer and evolution; pick MemOS if memOS is a self-evolving operating system tailored for LSTM systems and AI agents, offering ultra-persistent memory, hybrid retrieval technologies, and skill reuse across tasks.
Markdown twin · EverOS alternatives · MemOS alternatives
GraphCanon updated 3d
Trust & integrity
| Signal | EverOS | MemOS |
|---|---|---|
| Maintenance | Very active (1d since push) As of 3d · github_public_v1 | Very active (0d since push) As of 3d · github_public_v1 |
| Provenance | Not a fork · Organization account As of 3d · github_public_v1 | Not a fork · Organization account As of 3d · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of 2w · osv@v1 | No lockfile (source not queried) As of 1mo · 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
- EverOS
- One portable memory layer for every AI agent
- MemOS
- Self-evolving memory OS for LLM & AI Agents: ultra-persistent memory, hybrid-retrieval, and cross-task skill reuse
Stars
- EverOS
- 12k
- MemOS
- 11k
Forks
- EverOS
- 891
- MemOS
- 994
Open issues
- EverOS
- 72
- MemOS
- 84
Language
- EverOS
- Python
- MemOS
- TypeScript
Adopt for
- EverOS
- EverOS is designed as a portable and user-owned memory management solution that supports Markdown format, facilitating easy cross-app memory transfer and evolution.
- MemOS
- MemOS is a self-evolving operating system tailored for LSTM systems and AI agents, offering ultra-persistent memory, hybrid retrieval technologies, and skill reuse across tasks.
Persona
- EverOS
- -
- MemOS
- -
Runtime
- EverOS
- -
- MemOS
- -
License
- EverOS
- Apache-2.0
- MemOS
- MemOS is available under the Apache-2.0 license, allowing you to use it freely with certain conditions.
Last pushed
- EverOS
- Aug 17, 2026
- MemOS
- Aug 18, 2026
Categories
- EverOS
- AI Agents, Data & Retrieval
- MemOS
- AI Agents, Data & Retrieval
Trust and health
Days since push
- EverOS
- 1d
- MemOS
- 0d
Open issues (now)
- EverOS
- 72
- MemOS
- 84
Stars delta
- EverOS
- +849 (30d)
- MemOS
- +497 (30d)
Open issues delta
- EverOS
- +16 (30d)
- MemOS
- +4 (30d)
Full report
- EverOS
- Trust report
- MemOS
- Trust report
Choose EverOS if…
- EverOS is primarily Python; MemOS is TypeScript.
- Tags unique to EverOS: agent-memory, local-first, markdown-native, python3.
- When you require a user-owned memory layer that allows for seamless cross-app integration and evolution using Markdown notes.
When NOT to use EverOS
- If your project requires a non-markdown-based memory layer, since EverOS is specifically designed for Markdown-format memories and may not integrate well with other formats.
- When the requirement is strictly cloud-centric without local-first capabilities; EverOS focuses on being local-first before operating across applications.
Choose MemOS if…
- MemOS is primarily TypeScript; EverOS is Python.
- Pricing: Pricing details are not clearly specified in the repository data, but the self-hosted option provides flexibility at the expense of managing infrastructure costs..
- Requirements: Requires Docker; Self-hosting MemOS typically requires setting up Neo4j and Qdrant. The cloud API or OpenClaw Cloud Plugin options do not require these components..
- Tags unique to MemOS: agent, agentic-ai, llm.
- MemOS ships Docker support for self-hosted deployment.
- If you require ultra-persistent memory management within your application for long-term storage.
When NOT to use MemOS
- If you prefer fully managed solutions and have no preference over where your data is stored (hosted in MemOS Cloud).
- When minimal setup overhead is a critical requirement since self-hosting MemOS necessitates Neo4j and Qdrant for optimal performance.
- In scenarios preferring simpler on-device solutions as MemOS could be more complex to set up compared to other lightweight plugins or services.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (EverMind-AI/EverOS) · observed Aug 18, 2026
- GitHub forks (EverMind-AI/EverOS) · observed Aug 18, 2026
- Last push (EverMind-AI/EverOS) · observed Aug 17, 2026
- License file (Apache-2.0) · observed Aug 18, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Aug 2, 2026
- GitHub stars (MemTensor/MemOS) · observed Aug 18, 2026
- GitHub forks (MemTensor/MemOS) · observed Aug 18, 2026
- Last push (MemTensor/MemOS) · observed Aug 18, 2026
- License file (Apache-2.0) · observed Aug 18, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: EverOS 12k · MemOS 11k (synced Aug 18, 2026).
Common questions
- What is the difference between EverOS and MemOS?
- EverOS: One portable memory layer for every AI agent. MemOS: Self-evolving memory OS for LLM & AI Agents: ultra-persistent memory, hybrid-retrieval, and cross-task skill reuse. See the comparison table for live GitHub stats and shared categories.
- When should I choose EverOS over MemOS?
- Choose EverOS over MemOS when EverOS is primarily Python; MemOS is TypeScript; Tags unique to EverOS: agent-memory, local-first, markdown-native, python3; When you require a user-owned memory layer that allows for seamless cross-app integration and evolution using Markdown notes.
- When should I choose MemOS over EverOS?
- Choose MemOS over EverOS when MemOS is primarily TypeScript; EverOS is Python; Pricing: Pricing details are not clearly specified in the repository data, but the self-hosted option provides flexibility at the expense of managing infrastructure costs.; Requirements: Requires Docker; Self-hosting MemOS typically requires setting up Neo4j and Qdrant. The cloud API or OpenClaw Cloud Plugin options do not require these components.; Tags unique to MemOS: agent, agentic-ai, llm; MemOS ships Docker support for self-hosted deployment; If you require ultra-persistent memory management within your application for long-term storage.
- When should I avoid EverOS?
- If your project requires a non-markdown-based memory layer, since EverOS is specifically designed for Markdown-format memories and may not integrate well with other formats. When the requirement is strictly cloud-centric without local-first capabilities; EverOS focuses on being local-first before operating across applications.
- When should I avoid MemOS?
- If you prefer fully managed solutions and have no preference over where your data is stored (hosted in MemOS Cloud). When minimal setup overhead is a critical requirement since self-hosting MemOS necessitates Neo4j and Qdrant for optimal performance. In scenarios preferring simpler on-device solutions as MemOS could be more complex to set up compared to other lightweight plugins or services.
- Is EverOS or MemOS more popular on GitHub?
- EverOS has more GitHub stars (12,114 vs 10,758). Stars measure visibility, not whether either tool fits your constraints.
- Are EverOS and MemOS open source?
- Yes - both are open-source projects on GitHub (EverOS: Apache-2.0, MemOS: Apache-2.0).
- Where can I find alternatives to EverOS or MemOS?
- GraphCanon lists graph-backed alternatives at EverOS alternatives and MemOS alternatives (EverOS markdown twin, MemOS 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, EverOS or MemOS?
- EverOS: Very active. MemOS: 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 EverOS and MemOS?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: EverOS trust report; MemOS trust report.