Home/Compare/OpenMemory vs mempalace

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

OpenMemory logo

OpenMemory

CaviraOSS/OpenMemory

★ 4.5kpushed Sep 14, 2026
vs
mempalace logo

mempalace

MemPalace/mempalace

★ 59kpushed Sep 18, 2026

Trust & integrity

SignalOpenMemorymempalace
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

OpenMemory alternative mempalaceMempalace 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.

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 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.

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