Home/Compare/mempalace vs cognee

Comparison

mempalace vs cognee

Verdict

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; pick cognee if when evaluating Cognee, consider its self-hosted persistence capability and the extensive support it offers through multiple programming languages (Python, Rust, TypeScript). It uses vector databases to provide efficient.

Markdown twin · mempalace alternatives · cognee alternatives

GraphCanon updated Oct 4, 2026

22views this month

mempalace logo

mempalace

MemPalace/mempalace

★ 59kpushed Sep 18, 2026
vs
cognee logo

cognee

topoteretes/cognee

★ 31kpushed Sep 19, 2026

Trust & integrity

Signalmempalacecognee
Maintenance
Very active (0d since push)
As of Sep 18, 2026 · github_public_v1
Very active (0d since push)
As of Sep 20, 2026 · github_public_v1
Provenance
Not a fork · Organization account
As of Sep 18, 2026 · github_public_v1
Not a fork · Organization account
As of Sep 20, 2026 · github_public_v1
OSV dependency advisories
No lockfile (source not queried)
As of Oct 4, 2026 · osv@v1
No lockfile (source not queried)
As of Jul 11, 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

mempalace
The best-benchmarked open-source AI memory system
cognee
Cognee is the open-source AI memory platform for agents.

Stars

mempalace
59k
cognee
31k

Forks

mempalace
7.6k
cognee
3.1k

Open issues

mempalace
735
cognee
482

Language

mempalace
Python
cognee
Python

Adopt for

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.
cognee
When evaluating Cognee, consider its self-hosted persistence capability and the extensive support it offers through multiple programming languages (Python, Rust, TypeScript). It uses vector databases to provide efficient

Persona

mempalace
-
cognee
-

Runtime

mempalace
-
cognee
-

License

mempalace
MIT
cognee
Apache-2.0

Last pushed

mempalace
Sep 18, 2026
cognee
Sep 19, 2026

Categories

mempalace
Data & Retrieval, Vector Databases
cognee
AI Agents, Vector Databases

Trust and health

Open issues (now)

mempalace
735
cognee
482

Stars delta

mempalace
+743 (30d)
cognee
+729 (30d)

Open issues delta

mempalace
+31 (30d)
cognee
+123 (30d)

Full report

mempalace
Trust report

Typed relationship

mempalace alternative cogneeBoth MemPalace and cognee offer AI memory platforms designed for agents, potentially serving similar purposes but with unique approaches or architectures.

Choose mempalace if…

  • License: mempalace is MIT, cognee is Apache-2.0.
  • Both MemPalace and cognee offer AI memory platforms designed for agents, potentially serving similar purposes but with unique approaches or architectures.
  • Tags unique to mempalace: ai, chromadb, embedding, llm.
  • Also covers Data & Retrieval.
  • 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.

Choose cognee if…

  • License: cognee is Apache-2.0, mempalace is MIT.
  • Both MemPalace and cognee offer AI memory platforms designed for agents, potentially serving similar purposes but with unique approaches or architectures.
  • Tags unique to cognee: agent-memory, ai-agents, docker, knowledge-graph.
  • Also covers AI Agents.
  • - You are developing AI agents that require persistent long-term memory across different sessions.

When NOT to use cognee

  • - Your project does not require persistent memory storage, or your agents operate fully within short-lived sessions without the need for past context.
  • - You are aiming for minimal setup overhead and prefer a cloud-based solution that requires less maintenance on your infrastructure side.

Explore

Sources

Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.

GitHub stars on cards: mempalace 59k · cognee 31k (synced Sep 20, 2026).

Common questions

What is the difference between mempalace and cognee?
mempalace: The best-benchmarked open-source AI memory system. cognee: Cognee is the open-source AI memory platform for agents.. See the comparison table for live GitHub stats and shared categories.
When should I choose mempalace over cognee?
Choose mempalace over cognee when License: mempalace is MIT, cognee is Apache-2.0; Both MemPalace and cognee offer AI memory platforms designed for agents, potentially serving similar purposes but with unique approaches or architectures; Tags unique to mempalace: ai, chromadb, embedding, llm; Also covers Data & Retrieval; 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 choose cognee over mempalace?
Choose cognee over mempalace when License: cognee is Apache-2.0, mempalace is MIT; Both MemPalace and cognee offer AI memory platforms designed for agents, potentially serving similar purposes but with unique approaches or architectures; Tags unique to cognee: agent-memory, ai-agents, docker, knowledge-graph; Also covers AI Agents; - You are developing AI agents that require persistent long-term memory across different sessions.
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.
When should I avoid cognee?
- Your project does not require persistent memory storage, or your agents operate fully within short-lived sessions without the need for past context. - You are aiming for minimal setup overhead and prefer a cloud-based solution that requires less maintenance on your infrastructure side.
Is mempalace or cognee more popular on GitHub?
mempalace has more GitHub stars (59,143 vs 30,850). Stars measure visibility, not whether either tool fits your constraints.
Are mempalace and cognee open source?
Yes - both are open-source projects on GitHub (mempalace: MIT, cognee: Apache-2.0).
Where can I find alternatives to mempalace or cognee?
GraphCanon lists graph-backed alternatives at mempalace alternatives and cognee alternatives (mempalace markdown twin, cognee 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, mempalace or cognee?
mempalace: Very active. cognee: 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 mempalace and cognee?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: mempalace trust report; cognee trust report.

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