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 is a Python-based memory infrastructure for AI agents and applications, offering a persistent context layer suitable for production environments.
Markdown twin · memory-os alternatives · mem0 alternatives
GraphCanon updated Sep 20, 2026
17views this month
Trust & integrity
| Signal | memory-os | mem0 |
|---|---|---|
| Maintenance | Slowing (101d 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 · Personal 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
- memory-os
- A 7-layer memory operating system for Hermes Agent with persistent memory and context injection
- mem0
- Drop-in memory infrastructure for AI agents and apps
Stars
- memory-os
- 1.4k
- mem0
- 66k
Forks
- memory-os
- 128
- mem0
- 7.7k
Open issues
- memory-os
- 9
- mem0
- 754
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 is a Python-based memory infrastructure for AI agents and applications, offering a persistent context layer suitable for production environments.
Persona
- memory-os
- -
- mem0
- -
Runtime
- memory-os
- -
- mem0
- -
License
- memory-os
- MIT
- mem0
- mem0 is distributed under the Apache-2.0 license, allowing for broad usage and modification with attribution.
Last pushed
- memory-os
- Jun 10, 2026
- mem0
- Sep 18, 2026
Categories
- memory-os
- AI Agents, Vector Databases
- mem0
- AI Agents, Data & Retrieval
Trust and health
Maintenance
- memory-os
- Slowing (36%)
- mem0
- Very active (96%)
Days since push
- memory-os
- 101d
- mem0
- 0d
Open issues (now)
- memory-os
- 9
- mem0
- 754
Stars delta
- memory-os
- +75 (30d)
- mem0
- +2.8k (30d)
Open issues delta
- memory-os
- +2 (30d)
- mem0
- +63 (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: 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..
- 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: agentic-memory, ai-agents, genai, long-term-memory.
- Also covers Data & Retrieval.
- 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 (ClaudioDrews/memory-os) · observed Sep 20, 2026
- GitHub forks (ClaudioDrews/memory-os) · observed Sep 20, 2026
- Last push (ClaudioDrews/memory-os) · observed Jun 10, 2026
- License file (MIT) · 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: memory-os 1.4k · mem0 66k (synced Sep 20, 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: Drop-in memory infrastructure for AI agents and apps. 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: 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.; 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: agentic-memory, ai-agents, genai, long-term-memory; Also covers Data & Retrieval; 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 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 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 memory-os or mem0 more popular on GitHub?
- mem0 has more GitHub stars (65,557 vs 1,366). 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: Slowing. 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.