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 open-source AI memory system that leverages ChromaDB as its default vector-store backend, supporting Python 3.9+ and offering both local and server-based embedding.
Markdown twin · memory-os alternatives · mempalace alternatives
GraphCanon updated Oct 4, 2026
16views this month
vs
Trust & integrity
| Signal | memory-os | mempalace |
|---|---|---|
| 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 Oct 4, 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
- mempalace
- The best-benchmarked open-source AI memory system
Stars
- memory-os
- 1.4k
- mempalace
- 59k
Forks
- memory-os
- 128
- mempalace
- 7.6k
Open issues
- memory-os
- 9
- mempalace
- 735
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 open-source AI memory system that leverages ChromaDB as its default vector-store backend, supporting Python 3.9+ and offering both local and server-based embedding options.
Persona
- memory-os
- -
- mempalace
- -
Runtime
- memory-os
- -
- mempalace
- -
License
- memory-os
- MIT
- mempalace
- MIT
Last pushed
- memory-os
- Jun 10, 2026
- mempalace
- Sep 18, 2026
Categories
- memory-os
- AI Agents, Vector Databases
- mempalace
- Data & Retrieval, Vector Databases
Trust and health
Maintenance
- memory-os
- Slowing (36%)
- mempalace
- Very active (96%)
Days since push
- memory-os
- 101d
- mempalace
- 0d
Open issues (now)
- memory-os
- 9
- mempalace
- 735
Stars delta
- memory-os
- +75 (30d)
- mempalace
- +743 (30d)
Open issues delta
- memory-os
- +2 (30d)
- mempalace
- +31 (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, embedding, llm.
- Also covers Data & Retrieval.
- mempalace ships Docker support for self-hosted deployment.
- When you need a benchmarked open-source AI memory system that supports a wide range of languages through the embeddinggemma-300m model.
When NOT to use mempalace
- If you are working in an environment where Python 3.9+ is not available, as mempalace requires this version or higher.
- When you need a system that does not require at least 300 MB of disk space for the embedding model, as mempalace requires this minimum space for its recommended multilingual model.
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 (MemPalace/mempalace) · observed Sep 20, 2026
- GitHub forks (MemPalace/mempalace) · observed Sep 20, 2026
- Last push (MemPalace/mempalace) · observed Sep 18, 2026
- License file (MIT) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Sep 18, 2026
- Trust scan (lockfile / OSV) · observed Oct 4, 2026
GitHub stars on cards: memory-os 1.4k · mempalace 59k (synced Sep 20, 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, embedding, llm; Also covers Data & Retrieval; mempalace ships Docker support for self-hosted deployment; When you need a benchmarked open-source AI memory system that supports a wide range of languages through the embeddinggemma-300m model.
- 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?
- If you are working in an environment where Python 3.9+ is not available, as mempalace requires this version or higher. When you need a system that does not require at least 300 MB of disk space for the embedding model, as mempalace requires this minimum space for its recommended multilingual model.
- Is memory-os or mempalace more popular on GitHub?
- mempalace has more GitHub stars (59,143 vs 1,366). 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: Slowing. 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.