Comparison
mem0 vs cognee
Verdict
Pick mem0 if mem0 provides a universal memory layer that focuses on long-term memory and state management specifically for AI Agents; 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 · mem0 alternatives · cognee alternatives
GraphCanon updated today
Trust & integrity
| Signal | mem0 | cognee |
|---|---|---|
| Maintenance | Very active (0d since push) As of 1w · github_public_v1 | Very active (0d since push) As of today · github_public_v1 |
| Provenance | Not a fork · Organization account As of 1w · github_public_v1 | Not a fork · Organization account As of today · 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
- mem0
- Universal memory layer for AI Agents
- cognee
- Cognee is the open-source AI memory platform for agents.
Stars
- mem0
- 63k
- cognee
- 30k
Forks
- mem0
- 7.3k
- cognee
- 2.9k
Open issues
- mem0
- 691
- cognee
- 359
Language
- mem0
- Python
- cognee
- Python
Adopt for
- mem0
- Mem0 provides a universal memory layer that focuses on long-term memory and state management specifically for AI Agents.
- 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
- mem0
- -
- cognee
- -
Runtime
- mem0
- -
- cognee
- -
License
- mem0
- Apache-2.0
- cognee
- Apache-2.0
Last pushed
- mem0
- Aug 7, 2026
- cognee
- Aug 19, 2026
Categories
- mem0
- AI Agents
- cognee
- AI Agents, Vector Databases
Trust and health
Open issues (now)
- mem0
- 691
- cognee
- 359
Stars delta
- mem0
- +2.4k (30d)
- cognee
- +1.5k (30d)
Open issues delta
- mem0
- +187 (30d)
- cognee
- -265 (30d)
Full report
- mem0
- Trust report
- cognee
- Trust report
Typed relationship
mem0 alternative cogneeBoth Cognee and mem0 provide memory solutions for AI agents, serving as platforms to maintain context and knowledge across different sessions.
Shared compatibility
- Node.js · mem0: Node.js runtime · cognee: Node.js runtime
- Python · mem0: Python runtime · cognee: Python runtime
Choose mem0 if…
- Pricing: Mem0 is available under the Apache-2.0 license which is free to use. However, additional enterprise support or premium features may have associated costs..
- Requirements: Min 4 GB RAM.
- Both Cognee and mem0 provide memory solutions for AI agents, serving as platforms to maintain context and knowledge across different sessions.
- Tags unique to mem0: agents, ai, chatbots, llm.
- - You are working on an AI agent or chatbot application where maintaining a long-term memory is crucial.
When NOT to use mem0
- - If your application does not require the retention of historical context for effective performance over multiple sessions.
- - When you are looking for a general-purpose library or framework that offers features beyond memory management and state handling, such as natural language processing or machine learning models.
Choose cognee if…
- Both Cognee and mem0 provide memory solutions for AI agents, serving as platforms to maintain context and knowledge across different sessions.
- Tags unique to cognee: agent-memory, ai-agents, docker, knowledge-graph.
- Also covers Vector Databases.
- cognee ships Docker support for self-hosted deployment.
- - 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 (mem0ai/mem0) · observed Aug 7, 2026
- GitHub forks (mem0ai/mem0) · observed Aug 7, 2026
- Last push (mem0ai/mem0) · observed Aug 7, 2026
- License file (Apache-2.0) · observed Aug 7, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (topoteretes/cognee) · observed Aug 19, 2026
- GitHub forks (topoteretes/cognee) · observed Aug 19, 2026
- Last push (topoteretes/cognee) · observed Aug 19, 2026
- License file (Apache-2.0) · observed Aug 19, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: mem0 63k · cognee 30k (synced Aug 7, 2026).
Common questions
- What is the difference between mem0 and cognee?
- mem0: Universal memory layer for AI Agents. 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 mem0 over cognee?
- Choose mem0 over cognee when Pricing: Mem0 is available under the Apache-2.0 license which is free to use. However, additional enterprise support or premium features may have associated costs.; Requirements: Min 4 GB RAM; Both Cognee and mem0 provide memory solutions for AI agents, serving as platforms to maintain context and knowledge across different sessions; Tags unique to mem0: agents, ai, chatbots, llm; - You are working on an AI agent or chatbot application where maintaining a long-term memory is crucial.
- When should I choose cognee over mem0?
- Choose cognee over mem0 when Both Cognee and mem0 provide memory solutions for AI agents, serving as platforms to maintain context and knowledge across different sessions; Tags unique to cognee: agent-memory, ai-agents, docker, knowledge-graph; Also covers Vector Databases; cognee ships Docker support for self-hosted deployment; - You are developing AI agents that require persistent long-term memory across different sessions.
- When should I avoid mem0?
- - If your application does not require the retention of historical context for effective performance over multiple sessions. - When you are looking for a general-purpose library or framework that offers features beyond memory management and state handling, such as natural language processing or machine learning models.
- 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 mem0 or cognee more popular on GitHub?
- mem0 has more GitHub stars (62,757 vs 30,121). Stars measure visibility, not whether either tool fits your constraints.
- Are mem0 and cognee open source?
- Yes - both are open-source projects on GitHub (mem0: Apache-2.0, cognee: Apache-2.0).
- Where can I find alternatives to mem0 or cognee?
- GraphCanon lists graph-backed alternatives at mem0 alternatives and cognee alternatives (mem0 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, mem0 or cognee?
- mem0: 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 mem0 and cognee?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: mem0 trust report; cognee trust report.