Comparison
memory-os vs mempalace
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 mempalace if memPalace is an advanced open-source AI memory system that integrates with ChromaDB to optimize machine learning model memories and enhance data retrieval efficiency.
Markdown twin · memory-os alternatives · mempalace alternatives
GraphCanon updated 1d
vs
Trust & integrity
| Signal | memory-os | mempalace |
|---|---|---|
| Maintenance | Steady (41d since push) As of 3w · github_public_v1 | Very active (1d since push) As of 1d · github_public_v1 |
| Provenance | Not a fork · Personal account As of 3w · github_public_v1 | Not a fork · Organization account As of 1d · 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
- mempalace
- The best-benchmarked open-source AI memory system.
Stars
- memory-os
- 1.3k
- mempalace
- 58k
Forks
- memory-os
- 120
- mempalace
- 7.5k
Open issues
- memory-os
- 7
- mempalace
- 704
Language
- memory-os
- Python
- mempalace
- 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.
- mempalace
- MemPalace is an advanced open-source AI memory system that integrates with ChromaDB to optimize machine learning model memories and enhance data retrieval efficiency.
Persona
- memory-os
- -
- mempalace
- -
Runtime
- memory-os
- -
- mempalace
- -
License
- memory-os
- MIT
- mempalace
- MIT
Last pushed
- memory-os
- Jun 10, 2026
- mempalace
- Aug 15, 2026
Categories
- memory-os
- AI Agents, Vector Databases
- mempalace
- Model Training, Vector Databases
Trust and health
Maintenance
- memory-os
- Steady (60%)
- mempalace
- Very active (96%)
Days since push
- memory-os
- 41d
- mempalace
- 1d
Open issues (now)
- memory-os
- 7
- mempalace
- 704
Stars delta
- memory-os
- Unknown
- mempalace
- +1.0k (30d)
Open issues delta
- memory-os
- Unknown
- mempalace
- +77 (30d)
Owner type
- memory-os
- User
- mempalace
- Organization
Full report
- memory-os
- Trust report
- mempalace
- Trust report
Typed relationship
memory-os alternative mempalaceBoth Memory OS and Mempalace provide an AI memory system, aiming to enhance the performance of AI agents with persistent memory features.
Shared compatibility
- Python · memory-os: Python runtime · mempalace: Python runtime
Choose memory-os if…
- Both Memory OS and Mempalace provide an AI memory system, aiming to enhance the performance of AI agents with persistent memory features.
- Tags unique to memory-os: ai-memory, context-injection, docker, ground-truth.
- Also covers AI Agents.
- - 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 mempalace if…
- Both Memory OS and Mempalace provide an AI memory system, aiming to enhance the performance of AI agents with persistent memory features.
- Tags unique to mempalace: ai, chromadb, llm, memory.
- Also covers Model Training.
- mempalace ships Docker support for self-hosted deployment.
- When you need a highly benchmarked solution for managing AI model memories, MemPalace can provide superior performance due to its optimization features integrated specifically around ML model needs.
When NOT to use mempalace
- Avoid if requiring a proprietary system where full transparency or customization of the memory management layer may not be necessary, since MemPalace is open source and might involve deeper technical
- If your project strictly adheres to non-MIT licenses, then MemPalace might not be suitable due to its MIT license which may conflict with licensing requirements.
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 Jul 22, 2026
- GitHub forks (ClaudioDrews/memory-os) · observed Jul 22, 2026
- Last push (ClaudioDrews/memory-os) · observed Jun 10, 2026
- License file (MIT) · observed Jul 22, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (MemPalace/mempalace) · observed Aug 16, 2026
- GitHub forks (MemPalace/mempalace) · observed Aug 16, 2026
- Last push (MemPalace/mempalace) · observed Aug 15, 2026
- License file (MIT) · observed Aug 16, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: memory-os 1.3k · mempalace 58k (synced Jul 22, 2026).
Common questions
- What is the difference between memory-os and mempalace?
- memory-os: A 7-layer memory operating system for Hermes Agent with persistent memory and context injection. mempalace: The best-benchmarked open-source AI memory system.. See the comparison table for live GitHub stats and shared categories.
- When should I choose memory-os over mempalace?
- Choose memory-os over mempalace when Both Memory OS and Mempalace provide an AI memory system, aiming to enhance the performance of AI agents with persistent memory features; Tags unique to memory-os: ai-memory, context-injection, docker, ground-truth; Also covers AI Agents; - You are working with Hermes Agent and require a sophisticated memory management solution that operates locally.
- When should I choose mempalace over memory-os?
- Choose mempalace over memory-os when Both Memory OS and Mempalace provide an AI memory system, aiming to enhance the performance of AI agents with persistent memory features; Tags unique to mempalace: ai, chromadb, llm, memory; Also covers Model Training; mempalace ships Docker support for self-hosted deployment; When you need a highly benchmarked solution for managing AI model memories, MemPalace can provide superior performance due to its optimization features integrated specifically around ML model needs.
- 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 mempalace?
- Avoid if requiring a proprietary system where full transparency or customization of the memory management layer may not be necessary, since MemPalace is open source and might involve deeper technical If your project strictly adheres to non-MIT licenses, then MemPalace might not be suitable due to its MIT license which may conflict with licensing requirements.
- Is memory-os or mempalace more popular on GitHub?
- mempalace has more GitHub stars (58,400 vs 1,291). Stars measure visibility, not whether either tool fits your constraints.
- Are memory-os and mempalace open source?
- Yes - both are open-source projects on GitHub (memory-os: MIT, mempalace: MIT).
- Where can I find alternatives to memory-os or mempalace?
- GraphCanon lists graph-backed alternatives at memory-os alternatives and mempalace alternatives (memory-os markdown twin, mempalace 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 mempalace?
- memory-os: Steady. mempalace: 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 mempalace?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: memory-os trust report; mempalace trust report.