Comparison
memory-os vs mem0
Verdict
Pick memory-os if memory-OS is a memory operating system tailored for Hermes Agent, focusing on local-first, self-hosted persistent storage and seamless integration with any LLM provider using Qdrant as the vector database; pick mem0 if mem0 provides a universal memory layer that focuses on long-term memory and state management specifically for AI Agents.
Markdown twin · memory-os alternatives · mem0 alternatives
GraphCanon updated today
Trust & integrity
| Signal | memory-os | mem0 |
|---|---|---|
| Maintenance | Steady (72d since push) As of today · github_public_v1 | Very active (0d since push) As of 2w · github_public_v1 |
| Provenance | Not a fork · Personal account As of today · github_public_v1 | Not a fork · Organization account As of 2w · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of 1mo · 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
- memory-os
- A 7-layer memory operating system for Hermes Agent with persistent memory and context injection
- mem0
- Universal memory layer for AI Agents
Stars
- memory-os
- 1.3k
- mem0
- 63k
Forks
- memory-os
- 124
- mem0
- 7.3k
Open issues
- memory-os
- 9
- mem0
- 691
Language
- memory-os
- Python
- mem0
- Python
Adopt for
- memory-os
- Memory-OS is a memory operating system tailored for Hermes Agent, focusing on local-first, self-hosted persistent storage and seamless integration with any LLM provider using Qdrant as the vector database.
- mem0
- Mem0 provides a universal memory layer that focuses on long-term memory and state management specifically for AI Agents.
Persona
- memory-os
- -
- mem0
- -
Runtime
- memory-os
- -
- mem0
- -
License
- memory-os
- MIT
- mem0
- Apache-2.0
Last pushed
- memory-os
- Jun 10, 2026
- mem0
- Aug 7, 2026
Categories
- memory-os
- AI Agents, Vector Databases
- mem0
- AI Agents
Trust and health
Maintenance
- memory-os
- Steady (60%)
- mem0
- Very active (96%)
Days since push
- memory-os
- 72d
- mem0
- 0d
Open issues (now)
- memory-os
- 9
- mem0
- 691
Stars delta
- memory-os
- +41 (30d)
- mem0
- +2.4k (30d)
Open issues delta
- memory-os
- +2 (30d)
- mem0
- +187 (30d)
Owner type
- memory-os
- User
- mem0
- Organization
Full report
- memory-os
- Trust report
- mem0
- Trust report
Typed relationship
memory-os alternative mem0Memory OS and Mem0 both offer a universal memory layer for AI Agents, aiming to enhance their functionality by providing better context-awareness.
Shared compatibility
- Python · memory-os: Python runtime · mem0: Python runtime
Choose memory-os if…
- License: memory-os is MIT, mem0 is Apache-2.0.
- Memory OS and Mem0 both offer a universal memory layer for AI Agents, aiming to enhance their functionality by providing better context-awareness.
- Tags unique to memory-os: ai-memory, context-injection, docker, ground-truth.
- Also covers Vector Databases.
- - You are working with Hermes Agent and require a sophisticated memory management solution that operates locally.
When NOT to use memory-os
- - If you are looking for a completely cloud-managed service without any local setup or maintenance needs.
- - Your use case does not align with Hermes Agent; Memory-OS is specifically designed to complement this agent's functions and won't provide the same benefits when used independently.
Choose mem0 if…
- License: mem0 is Apache-2.0, memory-os is MIT.
- 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.
- Memory OS and Mem0 both offer a universal memory layer for AI Agents, aiming to enhance their functionality by providing better context-awareness.
- 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 (ClaudioDrews/memory-os) · observed Aug 21, 2026
- GitHub forks (ClaudioDrews/memory-os) · observed Aug 21, 2026
- Last push (ClaudioDrews/memory-os) · observed Jun 10, 2026
- License file (MIT) · observed Aug 21, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 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: memory-os 1.3k · mem0 63k (synced Aug 21, 2026).
Common questions
- What is the difference between memory-os and mem0?
- memory-os: A 7-layer memory operating system for Hermes Agent with persistent memory and context injection. mem0: Universal memory layer for AI Agents. See the comparison table for live GitHub stats and shared categories.
- When should I choose memory-os over mem0?
- Choose memory-os over mem0 when License: memory-os is MIT, mem0 is Apache-2.0; Memory OS and Mem0 both offer a universal memory layer for AI Agents, aiming to enhance their functionality by providing better context-awareness; Tags unique to memory-os: ai-memory, context-injection, docker, ground-truth; Also covers Vector Databases; - You are working with Hermes Agent and require a sophisticated memory management solution that operates locally.
- When should I choose mem0 over memory-os?
- Choose mem0 over memory-os when License: mem0 is Apache-2.0, memory-os is MIT; 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; Memory OS and Mem0 both offer a universal memory layer for AI Agents, aiming to enhance their functionality by providing better context-awareness; 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 memory-os?
- - If you are looking for a completely cloud-managed service without any local setup or maintenance needs. - Your use case does not align with Hermes Agent; Memory-OS is specifically designed to complement this agent's functions and won't provide the same benefits when used independently.
- 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 memory-os or mem0 more popular on GitHub?
- mem0 has more GitHub stars (62,757 vs 1,332). Stars measure visibility, not whether either tool fits your constraints.
- Are memory-os and mem0 open source?
- Yes - both are open-source projects on GitHub (memory-os: MIT, mem0: Apache-2.0).
- Where can I find alternatives to memory-os or mem0?
- GraphCanon lists graph-backed alternatives at memory-os alternatives and mem0 alternatives (memory-os 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, memory-os or mem0?
- memory-os: Steady. 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 memory-os and mem0?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: memory-os trust report; mem0 trust report.