Comparison
OpenMemory vs mempalace
Verdict
Pick OpenMemory if openMemory offers local storage tailored for AI agents like Claude Desktop and GitHub Copilot; 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 options.
Markdown twin · OpenMemory alternatives · mempalace alternatives
GraphCanon updated Oct 4, 2026
14views this month
Trust & integrity
| Signal | OpenMemory | mempalace |
|---|---|---|
| Maintenance | Very active (5d 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 · Organization 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
- OpenMemory
- Local persistent memory store for LLM applications
- mempalace
- The best-benchmarked open-source AI memory system
Stars
- OpenMemory
- 4.5k
- mempalace
- 59k
Forks
- OpenMemory
- 504
- mempalace
- 7.6k
Open issues
- OpenMemory
- 19
- mempalace
- 735
Language
- OpenMemory
- TypeScript
- mempalace
- Python
Adopt for
- OpenMemory
- OpenMemory offers local storage tailored for AI agents like Claude Desktop and GitHub Copilot.
- 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
- OpenMemory
- -
- mempalace
- -
Runtime
- OpenMemory
- -
- mempalace
- -
License
- OpenMemory
- Apache-2.0
- mempalace
- MIT
Last pushed
- OpenMemory
- Sep 14, 2026
- mempalace
- Sep 18, 2026
Categories
- OpenMemory
- Data & Retrieval, Vector Databases
- mempalace
- Data & Retrieval, Vector Databases
Trust and health
Days since push
- OpenMemory
- 5d
- mempalace
- 0d
Open issues (now)
- OpenMemory
- 19
- mempalace
- 735
Stars delta
- OpenMemory
- +153 (30d)
- mempalace
- +743 (30d)
Open issues delta
- OpenMemory
- +6 (30d)
- mempalace
- +31 (30d)
Full report
- OpenMemory
- Trust report
- mempalace
- Trust report
Typed relationship
Choose OpenMemory if…
- OpenMemory is primarily TypeScript; mempalace is Python.
- License: OpenMemory is Apache-2.0, mempalace is MIT.
- Mempalace is an open-source AI memory system similar to OpenMemory in that both are designed for persistent stateful operations of AI agents with benchmarking potential.
- Tags unique to OpenMemory: ai-agents, embeddings, long-term-memory, memory-engine.
- OpenMemory ships an MCP server manifest.
- Need to integrate persistent memory support for specific LLMs like Claude.
When NOT to use OpenMemory
- Require cloud-based memory storage services.
- Your project must use languages other than TypeScript.
- Seek a generic vector database without specific LLM integrations.
Choose mempalace if…
- mempalace is primarily Python; OpenMemory is TypeScript.
- License: mempalace is MIT, OpenMemory is Apache-2.0.
- Mempalace is an open-source AI memory system similar to OpenMemory in that both are designed for persistent stateful operations of AI agents with benchmarking potential.
- Tags unique to mempalace: ai, chromadb, embedding, llm.
- 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 (CaviraOSS/OpenMemory) · observed Sep 20, 2026
- GitHub forks (CaviraOSS/OpenMemory) · observed Sep 20, 2026
- Last push (CaviraOSS/OpenMemory) · observed Sep 14, 2026
- License file (Apache-2.0) · 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: OpenMemory 4.5k · mempalace 59k (synced Sep 20, 2026).
Common questions
- What is the difference between OpenMemory and mempalace?
- OpenMemory: Local persistent memory store for LLM applications. mempalace: The best-benchmarked open-source AI memory system. See the comparison table for live GitHub stats and shared categories.
- When should I choose OpenMemory over mempalace?
- Choose OpenMemory over mempalace when OpenMemory is primarily TypeScript; mempalace is Python; License: OpenMemory is Apache-2.0, mempalace is MIT; Mempalace is an open-source AI memory system similar to OpenMemory in that both are designed for persistent stateful operations of AI agents with benchmarking potential; Tags unique to OpenMemory: ai-agents, embeddings, long-term-memory, memory-engine; OpenMemory ships an MCP server manifest; Need to integrate persistent memory support for specific LLMs like Claude.
- When should I choose mempalace over OpenMemory?
- Choose mempalace over OpenMemory when mempalace is primarily Python; OpenMemory is TypeScript; License: mempalace is MIT, OpenMemory is Apache-2.0; Mempalace is an open-source AI memory system similar to OpenMemory in that both are designed for persistent stateful operations of AI agents with benchmarking potential; Tags unique to mempalace: ai, chromadb, embedding, llm; 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 OpenMemory?
- Require cloud-based memory storage services. Your project must use languages other than TypeScript. Seek a generic vector database without specific LLM integrations.
- 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 OpenMemory or mempalace more popular on GitHub?
- mempalace has more GitHub stars (59,143 vs 4,510). Stars measure visibility, not whether either tool fits your constraints.
- Are OpenMemory and mempalace open source?
- Yes - both are open-source projects on GitHub (OpenMemory: Apache-2.0, mempalace: MIT).
- Where can I find alternatives to OpenMemory or mempalace?
- GraphCanon lists graph-backed alternatives at OpenMemory alternatives and mempalace alternatives (OpenMemory 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, OpenMemory or mempalace?
- OpenMemory: Very active. 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 OpenMemory and mempalace?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: OpenMemory trust report; mempalace trust report.