Home/Compare/mempalace vs cognee

Comparison

mempalace vs cognee

Verdict

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; 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 1d

mempalace logo

mempalace

MemPalace/mempalace

58kpushed Aug 15, 2026
vs
cognee logo

cognee

topoteretes/cognee

29kpushed Jul 20, 2026

Trust & integrity

Signalmempalacecognee
Maintenance
Very active (1d since push)
As of 1d · github_public_v1
Very active (0d since push)
As of 4w · github_public_v1
Provenance
Not a fork · Organization account
As of 1d · github_public_v1
Not a fork · Organization account
As of 4w · 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

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

Stars

mempalace
58k
cognee
29k

Forks

mempalace
7.5k
cognee
2.7k

Open issues

mempalace
704
cognee
624

Language

mempalace
Python
cognee
Python

Adopt for

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.
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
Aug 15, 2026
cognee
Jul 20, 2026

Categories

mempalace
Model Training, Vector Databases
cognee
AI Agents, Vector Databases

Trust and health

Days since push

mempalace
1d
cognee
0d

Open issues (now)

mempalace
704
cognee
624

Stars delta

mempalace
+1.0k (30d)
cognee
Unknown

Open issues delta

mempalace
+77 (30d)
cognee
Unknown

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.

Shared compatibility

  • Python · mempalace: Python runtime · cognee: Python runtime

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, llm, memory.
  • Also covers Model Training.
  • 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.

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 58k · cognee 29k (synced Aug 16, 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, llm, memory; Also covers Model Training; 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 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?
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.
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 (58,400 vs 28,576). 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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