Comparison
EverOS vs mem0
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 mem0 if mem0 provides a universal memory layer that focuses on long-term memory and state management specifically for AI Agents.
Markdown twin · EverOS alternatives · mem0 alternatives
GraphCanon updated 1d
Trust & integrity
| Signal | EverOS | mem0 |
|---|---|---|
| Maintenance | Very active (1d since push) As of 1d · github_public_v1 | Very active (0d since push) As of 1w · github_public_v1 |
| Provenance | Not a fork · Organization account As of 1d · github_public_v1 | Not a fork · Organization account As of 1w · 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
- mem0
- Universal memory layer for AI Agents
Stars
- EverOS
- 12k
- mem0
- 63k
Forks
- EverOS
- 891
- mem0
- 7.3k
Open issues
- EverOS
- 72
- mem0
- 691
Language
- EverOS
- Python
- mem0
- Python
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.
- mem0
- Mem0 provides a universal memory layer that focuses on long-term memory and state management specifically for AI Agents.
Persona
- EverOS
- -
- mem0
- -
Runtime
- EverOS
- -
- mem0
- -
License
- EverOS
- Apache-2.0
- mem0
- Apache-2.0
Last pushed
- EverOS
- Aug 17, 2026
- mem0
- Aug 7, 2026
Categories
- EverOS
- AI Agents, Data & Retrieval
- mem0
- AI Agents
Trust and health
Days since push
- EverOS
- 1d
- mem0
- 0d
Open issues (now)
- EverOS
- 72
- mem0
- 691
Stars delta
- EverOS
- +849 (30d)
- mem0
- +2.4k (30d)
Open issues delta
- EverOS
- +16 (30d)
- mem0
- +187 (30d)
Full report
- EverOS
- Trust report
- mem0
- Trust report
Typed relationship
EverOS alternative mem0Both EverOS and mem0 serve as memory layers for AI agents, providing local-first and user-owned long-term memory capabilities.
Shared compatibility
- Python · EverOS: Python runtime · mem0: Python runtime
Choose EverOS if…
- Both EverOS and mem0 serve as memory layers for AI agents, providing local-first and user-owned long-term memory capabilities.
- Tags unique to EverOS: agent-memory, local-first, markdown-native, python3.
- Also covers Data & Retrieval.
- 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 mem0 if…
- Pricing: Mem0 is available under the Apache-2.0 license which is free to use. However, additional enterprise support or premium features may have associated costs..
- Requirements: Min 4 GB RAM.
- Both EverOS and mem0 serve as memory layers for AI agents, providing local-first and user-owned long-term memory capabilities.
- Tags unique to mem0: agents, ai, chatbots, llm.
- - You are working on an AI agent or chatbot application where maintaining a long-term memory is crucial.
When NOT to use mem0
- - If your application does not require the retention of historical context for effective performance over multiple sessions.
- - When you are looking for a general-purpose library or framework that offers features beyond memory management and state handling, such as natural language processing or machine learning models.
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 (mem0ai/mem0) · observed Aug 7, 2026
- GitHub forks (mem0ai/mem0) · observed Aug 7, 2026
- Last push (mem0ai/mem0) · observed Aug 7, 2026
- License file (Apache-2.0) · observed Aug 7, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: EverOS 12k · mem0 63k (synced Aug 18, 2026).
Common questions
- What is the difference between EverOS and mem0?
- EverOS: One portable memory layer for every AI agent. mem0: Universal memory layer for AI Agents. See the comparison table for live GitHub stats and shared categories.
- When should I choose EverOS over mem0?
- Choose EverOS over mem0 when Both EverOS and mem0 serve as memory layers for AI agents, providing local-first and user-owned long-term memory capabilities; Tags unique to EverOS: agent-memory, local-first, markdown-native, python3; Also covers Data & Retrieval; When you require a user-owned memory layer that allows for seamless cross-app integration and evolution using Markdown notes.
- When should I choose mem0 over EverOS?
- Choose mem0 over EverOS when Pricing: Mem0 is available under the Apache-2.0 license which is free to use. However, additional enterprise support or premium features may have associated costs.; Requirements: Min 4 GB RAM; Both EverOS and mem0 serve as memory layers for AI agents, providing local-first and user-owned long-term memory capabilities; Tags unique to mem0: agents, ai, chatbots, llm; - You are working on an AI agent or chatbot application where maintaining a long-term memory is crucial.
- 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 mem0?
- - If your application does not require the retention of historical context for effective performance over multiple sessions. - When you are looking for a general-purpose library or framework that offers features beyond memory management and state handling, such as natural language processing or machine learning models.
- Is EverOS or mem0 more popular on GitHub?
- mem0 has more GitHub stars (62,757 vs 12,114). Stars measure visibility, not whether either tool fits your constraints.
- Are EverOS and mem0 open source?
- Yes - both are open-source projects on GitHub (EverOS: Apache-2.0, mem0: Apache-2.0).
- Where can I find alternatives to EverOS or mem0?
- GraphCanon lists graph-backed alternatives at EverOS alternatives and mem0 alternatives (EverOS 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, EverOS or mem0?
- EverOS: 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 EverOS and mem0?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: EverOS trust report; mem0 trust report.