--- title: "agentfield vs letta" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/agent-field-agentfield-vs-letta-ai-letta" tools: ["agent-field-agentfield", "letta-ai-letta"] --- # agentfield vs letta *GraphCanon updated Aug 17, 2026* ## Verdict Pick agentfield if agent-Field/agentfield is a comprehensive toolset built in Go under the Apache-2.0 license, aiming to streamline the development lifecycle of scalable AI agents that are observably secure; 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. [agentfield](http://www.agentfield.ai) reports 2.5k GitHub stars, 392 forks, and 74 open issues, last pushed Aug 1, 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 [agentfield's repository](https://github.com/Agent-Field/agentfield) and [letta's repository](https://github.com/letta-ai/letta). | | [agentfield](/tools/agent-field-agentfield.md) | [letta](/tools/letta-ai-letta.md) | | --- | --- | --- | | Tagline | Build, run and scale AI agents like API and microservices | Platform for stateful agents: AI with advanced memory that can learn and self-improve over time. | | Stars | 2,472 | 24,274 | | Forks | 392 | 2,582 | | Open issues | 74 | 41 | | Language | Go | - | | Adopt for | Agent-Field/agentfield is a comprehensive toolset built in Go under the Apache-2.0 license, aiming to streamline the development lifecycle of scalable AI agents that are observably secure. | 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 | Apache-2.0 | letta operates under the Apache-2.0 license. | | Categories | AI Agents | AI Agents | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [agentfield](/tools/agent-field-agentfield.md) | [letta](/tools/letta-ai-letta.md) | | --- | --- | --- | | Open issues (now) | 74 | 41 | | Stars delta | Unknown | +443 (30d) | | Open issues delta | Unknown | -8 (30d) | | Full report | [trust report](/tools/agent-field-agentfield/trust.md) | [trust report](/tools/letta-ai-letta/trust.md) | ## Decision facts: agentfield - **Adopt for:** Agent-Field/agentfield is a comprehensive toolset built in Go under the Apache-2.0 license, aiming to streamline the development lifecycle of scalable AI agents that are observably secure. ## 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 agentfield if… - Tags unique to agentfield: agent-auth, agent-authentication, agent-scaling, agentic-ai. - When you seek to manage and scale your AI agents with robust identity awareness and auditability features from inception. ### Choose letta if… - 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. - More GitHub stars (24k vs 2.5k) - visibility, not fit. ## When NOT to use agentfield - If your project requires heavy customization in languages other than Go as Agentfield is primarily built using Go which may limit its adaptability in polyglot environments. ## 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 agentfield and letta? agentfield: Build, run and scale AI agents like API and microservices. 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 agentfield over letta? Choose agentfield over letta when Tags unique to agentfield: agent-auth, agent-authentication, agent-scaling, agentic-ai; When you seek to manage and scale your AI agents with robust identity awareness and auditability features from inception. ### When should I choose letta over agentfield? Choose letta over agentfield when 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; More GitHub stars (24k vs 2.5k) - visibility, not fit. ### When should I avoid agentfield? If your project requires heavy customization in languages other than Go as Agentfield is primarily built using Go which may limit its adaptability in polyglot environments. ### 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 agentfield or letta more popular on GitHub? letta has more GitHub stars (24,274 vs 2,472). Stars measure visibility, not whether either tool fits your constraints. ### Are agentfield and letta open source? Yes - both are open-source projects on GitHub (agentfield: Apache-2.0, letta: Apache-2.0). ### Where can I find alternatives to agentfield or letta? GraphCanon lists graph-backed alternatives at [agentfield alternatives](/tools/agent-field-agentfield/alternatives) and [letta alternatives](/tools/letta-ai-letta/alternatives) ([agentfield markdown twin](/tools/agent-field-agentfield/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/agent-field-agentfield-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, agentfield or letta? agentfield: 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 agentfield and letta? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [agentfield trust report](/tools/agent-field-agentfield/trust); [letta trust report](/tools/letta-ai-letta/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=agent-field-agentfield`](/api/graphcanon/graph?tool=agent-field-agentfield) - 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/_