Comparison
letta vs Memori
letta (Platform for stateful agents with advanced memory capabilities) vs Memori (Memory infrastructure for AI agents that captures actions and conversations into a structured, persistent state.) - live GitHub stats and typed graph relationships, not marketing.
Markdown twin · letta alternatives · Memori alternatives
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Tagline
- letta
- Platform for stateful agents with advanced memory capabilities
- Memori
- Memory infrastructure for AI agents that captures actions and conversations into a structured, persistent state.
Stars
- letta
- 24k
- Memori
- 16k
Forks
- letta
- 2.5k
- Memori
- 2.8k
Open issues
- letta
- 49
- Memori
- 21
Language
- letta
- Python
- Memori
- Python
Adopt for
- letta
- Letta is a platform for building AI agents with advanced memory capabilities, supporting both local and cloud deployment, making it ideal for projects that require persistent learning and state management.
- Memori
- Memori is designed for enterprise users seeking seamless memory infrastructure that integrates with existing data architectures across multiple deployment environments.
Persona
- letta
- -
- Memori
- -
Runtime
- letta
- -
- Memori
- -
License
- letta
- Apache-2.0
- Memori
- Memori is licensed under the Apache License 2.0.
Last pushed
- letta
- Jul 3, 2026
- Memori
- Jun 15, 2026
Categories
- letta
- AI Agents, LLM Frameworks
- Memori
- AI Agents, Model Training
Trust and health
Maintenance
- letta
- Very active (96%)
- Memori
- Active (82%)
Days since push
- letta
- 4d
- Memori
- 22d
Open issues (now)
- letta
- 49
- Memori
- 21
Security scan
- letta
- 8 low (8 low)
- Memori
- No lockfile
Full report
- letta
- Trust report
- Memori
- Trust report
Typed relationship
letta alternative MemoriBoth Letta and Memori provide memory infrastructure for AI agents, though they implement this functionality differently.
Shared compatibility
- Node.js · letta: Node.js runtime · Memori: Node.js runtime
- Python · letta: Python runtime · Memori: Python runtime
Choose letta if…
- License: letta is Apache-2.0, Memori is Other.
- Pricing: Details regarding pricing are not provided in the repository data..
- Requirements: Installation requires Node.js version 22.19+; Dependencies include the Letta Code CLI tool installed globally via npm..
- Both Letta and Memori provide memory infrastructure for AI agents, though they implement this functionality differently.
- Tags unique to letta: llm, self-improvement, memory-system, development-platform.
- Also covers LLM Frameworks.
- Use Letta when you need a platform to develop AI agents that can learn and self-improve over time through their interactions.
When NOT to use letta
- Avoid using Letta if your project strictly needs real-time data processing without statefulness; it focuses on agents with memory capabilities which adds to the complexity.
- Do not use Letta if you are looking for a minimalistic solution since its advanced features and SDK might introduce unnecessary overhead.
Choose Memori if…
- License: Memori is Other, letta is Apache-2.0.
- Pricing: Pricing details are not explicitly stated in the provided repository content..
- Requirements: The tool requires set up of an API key for Memori and your LLM.
- Both Letta and Memori provide memory infrastructure for AI agents, though they implement this functionality differently.
- Tags unique to Memori: stateful, memory-management, ai-memory, llm-agnostic.
- Also covers Model Training.
- When you need a system to turn agent execution and conversation into structured, persistent state without disrupting your current IT environment.
When NOT to use Memori
- Avoid if you need a tool that natively extends beyond memory management to include features like autonomous agent navigation or extensive model training utilities, as Memori focuses specifically on AI
Explore
letta trust report →Memori trust report →AI Agents category →LLM Frameworks category →Model Training category →All comparisonsStack workflowsTrending tools
Related comparisons
Common questions
- What is the difference between letta and Memori?
- letta: Platform for stateful agents with advanced memory capabilities. Memori: Memory infrastructure for AI agents that captures actions and conversations into a structured, persistent state.. See the comparison table for live GitHub stats and shared categories.
- When should I choose letta over Memori?
- Choose letta over Memori when License: letta is Apache-2.0, Memori is Other; Pricing: Details regarding pricing are not provided in the repository data.; Requirements: Installation requires Node.js version 22.19+; Dependencies include the Letta Code CLI tool installed globally via npm.; Both Letta and Memori provide memory infrastructure for AI agents, though they implement this functionality differently; Tags unique to letta: llm, self-improvement, memory-system, development-platform; Also covers LLM Frameworks; Use Letta when you need a platform to develop AI agents that can learn and self-improve over time through their interactions.
- When should I choose Memori over letta?
- Choose Memori over letta when License: Memori is Other, letta is Apache-2.0; Pricing: Pricing details are not explicitly stated in the provided repository content.; Requirements: The tool requires set up of an API key for Memori and your LLM; Both Letta and Memori provide memory infrastructure for AI agents, though they implement this functionality differently; Tags unique to Memori: stateful, memory-management, ai-memory, llm-agnostic; Also covers Model Training; When you need a system to turn agent execution and conversation into structured, persistent state without disrupting your current IT environment.
- When should I avoid letta?
- Avoid using Letta if your project strictly needs real-time data processing without statefulness; it focuses on agents with memory capabilities which adds to the complexity. Do not use Letta if you are looking for a minimalistic solution since its advanced features and SDK might introduce unnecessary overhead.
- When should I avoid Memori?
- Avoid if you need a tool that natively extends beyond memory management to include features like autonomous agent navigation or extensive model training utilities, as Memori focuses specifically on AI
- Is letta or Memori more popular on GitHub?
- letta has more GitHub stars (23,708 vs 15,549). Stars measure visibility, not whether either tool fits your constraints.
- Are letta and Memori open source?
- Yes - both are open-source projects on GitHub (letta: Apache-2.0, Memori: Other).
- Where can I find alternatives to letta or Memori?
- GraphCanon lists graph-backed alternatives at /tools/letta-ai-letta/alternatives and /tools/memorilabs-memori/alternatives (/tools/letta-ai-letta/alternatives.md, /tools/memorilabs-memori/alternatives.md), ranked by typed relationship edges rather than popularity votes.
- Is there a machine-readable version of this comparison?
- Yes. The markdown twin at /compare/letta-ai-letta-vs-memorilabs-memori.md mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.
- Which is better maintained, letta or Memori?
- letta: Very active. Memori: 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 Memori?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: letta: /tools/letta-ai-letta/trust; Memori: /tools/memorilabs-memori/trust.