--- title: "agenta vs letta" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/agenta-ai-agenta-vs-letta-ai-letta" tools: ["agenta-ai-agenta", "letta-ai-letta"] --- # agenta vs letta *GraphCanon updated Sep 30, 2026* ## Verdict Pick agenta if agenta is an open-source, self-hosted platform for building, managing, and orchestrating AI agents and automations, supporting integration with existing AI models like Claude and ChatGPT; 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. [agenta](http://www.agenta.ai) reports 4.8k GitHub stars, 673 forks, and 349 open issues, last pushed Sep 18, 2026. [letta](https://docs.letta.com/) has 24k stars, 2.6k forks, and 41 open issues, last pushed Aug 16, 2026. Figures are from public GitHub metadata via [agenta's repository](https://github.com/Agenta-AI/agenta) and [letta's repository](https://github.com/letta-ai/letta). | | [agenta](/tools/agenta-ai-agenta.md) | [letta](/tools/letta-ai-letta.md) | | --- | --- | --- | | Tagline | A workspace for building and orchestrating AI agents and automations. | Platform for stateful agents: AI with advanced memory that can learn and self-improve over time. | | Stars | 4,764 | 24,274 | | Forks | 673 | 2,582 | | Open issues | 349 | 41 | | Language | TypeScript | - | | Adopt for | Agenta is an open-source, self-hosted platform for building, managing, and orchestrating AI agents and automations, supporting integration with existing AI models like Claude and ChatGPT. | 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 | | Persona | - | - | | Runtime | - | - | | License | Other | letta operates under the Apache-2.0 license. | | Categories | AI Agents, Evaluation & Observability | AI Agents | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [agenta](/tools/agenta-ai-agenta.md) | [letta](/tools/letta-ai-letta.md) | | --- | --- | --- | | Open issues (now) | 349 | 41 | | Stars delta | +319 (30d) | +443 (30d) | | Open issues delta | +79 (30d) | -8 (30d) | | Full report | [trust report](/tools/agenta-ai-agenta/trust.md) | [trust report](/tools/letta-ai-letta/trust.md) | ## Shared compatibility - **Node.js**: [agenta](/tools/agenta-ai-agenta.md) - Node.js runtime; [letta](/tools/letta-ai-letta.md) - Node.js runtime ## Decision facts: agenta - **Adopt for:** Agenta is an open-source, self-hosted platform for building, managing, and orchestrating AI agents and automations, supporting integration with existing AI models like Claude and ChatGPT. ## Decision facts: letta - **Adopt for:** 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 - **License detail:** letta operates under the Apache-2.0 license. ## Choose when ### Choose agenta if… - License: agenta is Other, letta is Apache-2.0. - Tags unique to agenta: agent-builder, agent-observability, agent-orchestration, ai-agent. - Also covers Evaluation & Observability. - When you need to integrate and manage AI agents and automations with existing models like Claude and ChatGPT. ### Choose letta if… - License: letta is Apache-2.0, agenta is Other. - 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 agenta - If you are looking for a cloud-based service without the need for self-hosting. - If you do not require integration with specific AI models like Claude or ChatGPT. - If you need a platform that offers more than just agent building and orchestration, such as broader AI development features. ## 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. ## Common questions ### What is the difference between agenta and letta? agenta: A workspace for building and orchestrating AI agents and automations.. letta: Platform for stateful agents: AI with advanced memory that can learn and self-improve over time.. See the comparison table for live GitHub stats and shared categories. ### When should I choose agenta over letta? Choose agenta over letta when License: agenta is Other, letta is Apache-2.0; Tags unique to agenta: agent-builder, agent-observability, agent-orchestration, ai-agent; Also covers Evaluation & Observability; When you need to integrate and manage AI agents and automations with existing models like Claude and ChatGPT. ### When should I choose letta over agenta? Choose letta over agenta when License: letta is Apache-2.0, agenta is Other; 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 avoid agenta? If you are looking for a cloud-based service without the need for self-hosting. If you do not require integration with specific AI models like Claude or ChatGPT. If you need a platform that offers more than just agent building and orchestration, such as broader AI development features. ### 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. ### Is agenta or letta more popular on GitHub? letta has more GitHub stars (24,274 vs 4,764). Stars measure visibility, not whether either tool fits your constraints. ### Are agenta and letta open source? Yes - both are open-source projects on GitHub (agenta: Other, letta: Apache-2.0). ### Where can I find alternatives to agenta or letta? GraphCanon lists graph-backed alternatives at [agenta alternatives](/tools/agenta-ai-agenta/alternatives) and [letta alternatives](/tools/letta-ai-letta/alternatives) ([agenta markdown twin](/tools/agenta-ai-agenta/alternatives.md), [letta markdown twin](/tools/letta-ai-letta/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 [this comparison](/compare/agenta-ai-agenta-vs-letta-ai-letta.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, agenta or letta? agenta: Very active. letta: 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 agenta and letta? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [agenta trust report](/tools/agenta-ai-agenta/trust); [letta trust report](/tools/letta-ai-letta/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=agenta-ai-agenta`](/api/graphcanon/graph?tool=agenta-ai-agenta) - LLM index: [/llms.txt](/llms.txt) - Full corpus: [/llms-full.txt](/llms-full.txt) _GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_