Comparison
letta vs mem0
Verdict
Pick letta if letta is a Python-based platform designed to foster the development of stateful AI agents with capabilities for advanced memory techniques that support continuous learning and self-improvement. The Apache-2.0 license it鳧; pick mem0 if mem0 provides a universal memory layer that focuses on long-term memory and state management specifically for AI Agents.
Markdown twin · letta alternatives · mem0 alternatives
GraphCanon updated 6d
Trust & integrity
| Signal | letta | mem0 |
|---|---|---|
| Maintenance | Very active (0d since push) As of 6d · github_public_v1 | Very active (0d since push) As of 2w · github_public_v1 |
| Provenance | Not a fork · Organization account As of 6d · github_public_v1 | Not a fork · Organization account As of 2w · 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
- letta
- Platform for stateful agents: AI with advanced memory that can learn and self-improve over time.
- mem0
- Universal memory layer for AI Agents
Stars
- letta
- 24k
- mem0
- 63k
Forks
- letta
- 2.6k
- mem0
- 7.3k
Open issues
- letta
- 41
- mem0
- 691
Language
- letta
- -
- mem0
- Python
Adopt for
- letta
- letta is a Python-based platform designed to foster the development of stateful AI agents with capabilities for advanced memory techniques that support continuous learning and self-improvement. The Apache-2.0 license it鳧
- mem0
- Mem0 provides a universal memory layer that focuses on long-term memory and state management specifically for AI Agents.
Persona
- letta
- -
- mem0
- -
Runtime
- letta
- -
- mem0
- -
License
- letta
- letta operates under the Apache-2.0 license.
- mem0
- Apache-2.0
Last pushed
- letta
- Aug 16, 2026
- mem0
- Aug 7, 2026
Categories
- letta
- AI Agents
- mem0
- AI Agents
Trust and health
Open issues (now)
- letta
- 41
- mem0
- 691
Stars delta
- letta
- +443 (30d)
- mem0
- +2.4k (30d)
Open issues delta
- letta
- -8 (30d)
- mem0
- +187 (30d)
Full report
- letta
- Trust report
- mem0
- Trust report
Typed relationship
letta alternative mem0Mem0 is designed as a universal memory layer for AI Agents, similar to the advanced memory components in Letta agents.
Shared compatibility
- Node.js · letta: Node.js runtime · mem0: Node.js runtime
Choose letta if…
- Mem0 is designed as a universal memory layer for AI Agents, similar to the advanced memory components in Letta agents.
- Tags unique to letta: advanced memory, agents development framework, self-improving ai, stateful ai.
- When you require an AI agent with robust memory features that enable continuous learning and adaptation over time.
When NOT to use letta
- If you are looking for a simple stateless AI solution without advanced memory capabilities, as letta is geared towards more complex stateful agent development.
- When your project's requirements involve strict limitations around data retention and privacy where even anonymized interaction logs might be considered sensitive.
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.
- Mem0 is designed as a universal memory layer for AI Agents, similar to the advanced memory components in Letta agents.
- 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.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (letta-ai/letta) · observed Aug 17, 2026
- GitHub forks (letta-ai/letta) · observed Aug 17, 2026
- Last push (letta-ai/letta) · observed Aug 16, 2026
- License file (Apache-2.0) · observed Aug 17, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- 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 on cards: letta 24k · mem0 63k (synced Aug 17, 2026).
Common questions
- What is the difference between letta and mem0?
- letta: Platform for stateful agents: AI with advanced memory that can learn and self-improve over time.. mem0: Universal memory layer for AI Agents. See the comparison table for live GitHub stats and shared categories.
- When should I choose letta over mem0?
- Choose letta over mem0 when Mem0 is designed as a universal memory layer for AI Agents, similar to the advanced memory components in Letta agents; Tags unique to letta: advanced memory, agents development framework, self-improving ai, stateful ai; When you require an AI agent with robust memory features that enable continuous learning and adaptation over time.
- When should I choose mem0 over letta?
- Choose mem0 over letta 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; Mem0 is designed as a universal memory layer for AI Agents, similar to the advanced memory components in Letta agents; 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 avoid letta?
- If you are looking for a simple stateless AI solution without advanced memory capabilities, as letta is geared towards more complex stateful agent development. When your project's requirements involve strict limitations around data retention and privacy where even anonymized interaction logs might be considered sensitive.
- 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.
- Is letta or mem0 more popular on GitHub?
- mem0 has more GitHub stars (62,757 vs 24,274). Stars measure visibility, not whether either tool fits your constraints.
- Are letta and mem0 open source?
- Yes - both are open-source projects on GitHub (letta: Apache-2.0, mem0: Apache-2.0).
- Where can I find alternatives to letta or mem0?
- GraphCanon lists graph-backed alternatives at letta alternatives and mem0 alternatives (letta markdown twin, mem0 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, letta or mem0?
- letta: Very active. mem0: 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 letta and mem0?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: letta trust report; mem0 trust report.