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
Trust & integrity
| Signal | mempalace | cognee |
|---|---|---|
| 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
- cognee
- Trust report
Typed relationship
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 (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 (topoteretes/cognee) · observed Sep 20, 2026
- GitHub forks (topoteretes/cognee) · observed Sep 20, 2026
- Last push (topoteretes/cognee) · observed Sep 19, 2026
- License file (Apache-2.0) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
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.