--- title: "agentfield vs suna" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/agent-field-agentfield-vs-kortix-ai-suna" tools: ["agent-field-agentfield", "kortix-ai-suna"] --- # agentfield vs suna *GraphCanon updated Aug 20, 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 suna if suna. [agentfield](http://www.agentfield.ai) reports 2.5k GitHub stars, 392 forks, and 74 open issues, last pushed Aug 1, 2026. [suna](https://www.kortix.com) has 20k stars, 3.4k forks, and 21 open issues, last pushed Aug 19, 2026. Figures are from public GitHub metadata via [agentfield's repository](https://github.com/Agent-Field/agentfield) and [suna's repository](https://github.com/kortix-ai/suna). | | [agentfield](/tools/agent-field-agentfield.md) | [suna](/tools/kortix-ai-suna.md) | | --- | --- | --- | | Tagline | Build, run and scale AI agents like API and microservices | The Company AI Command Center | | Stars | 2,472 | 20,121 | | Forks | 392 | 3,436 | | Open issues | 74 | 21 | | Language | Go | TypeScript | | 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. | suna | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | Other | | Categories | AI Agents | AI Agents | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [agentfield](/tools/agent-field-agentfield.md) | [suna](/tools/kortix-ai-suna.md) | | --- | --- | --- | | Open issues (now) | 74 | 21 | | Stars delta | Unknown | +118 (30d) | | Open issues delta | Unknown | -1 (30d) | | Full report | [trust report](/tools/agent-field-agentfield/trust.md) | [trust report](/tools/kortix-ai-suna/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: suna - **Requirements:** Min 8 GB RAM; Requires Docker - **Adopt for:** suna ## Choose when ### Choose agentfield if… - agentfield is primarily Go; suna is TypeScript. - License: agentfield is Apache-2.0, suna is Other. - 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 suna if… - suna is primarily TypeScript; agentfield is Go. - License: suna is Other, agentfield is Apache-2.0. - Requirements: Min 8 GB RAM; Requires Docker. - Tags unique to suna: ai-agents, llm, self-hosting. - When self-hosting capabilities are necessary, ensuring that your infrastructure operates on your own servers or private networks including laptops and VPC. ## 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 suna - When minimal initial configuration beyond integration credentials is not desired since the self-hosting option requires setting up instances using Docker images or other infrastructure methods. - If you prefer to rely entirely on cloud services for hosting without the need to manage local instances, suna's strong self-hosting model might not be your best choice. ## Common questions ### What is the difference between agentfield and suna? agentfield: Build, run and scale AI agents like API and microservices. suna: The Company AI Command Center. See the comparison table for live GitHub stats and shared categories. ### When should I choose agentfield over suna? Choose agentfield over suna when agentfield is primarily Go; suna is TypeScript; License: agentfield is Apache-2.0, suna is Other; 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 suna over agentfield? Choose suna over agentfield when suna is primarily TypeScript; agentfield is Go; License: suna is Other, agentfield is Apache-2.0; Requirements: Min 8 GB RAM; Requires Docker; Tags unique to suna: ai-agents, llm, self-hosting; When self-hosting capabilities are necessary, ensuring that your infrastructure operates on your own servers or private networks including laptops and VPC. ### 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 suna? When minimal initial configuration beyond integration credentials is not desired since the self-hosting option requires setting up instances using Docker images or other infrastructure methods. If you prefer to rely entirely on cloud services for hosting without the need to manage local instances, suna's strong self-hosting model might not be your best choice. ### Is agentfield or suna more popular on GitHub? suna has more GitHub stars (20,121 vs 2,472). Stars measure visibility, not whether either tool fits your constraints. ### Are agentfield and suna open source? Yes - both are open-source projects on GitHub (agentfield: Apache-2.0, suna: Other). ### Where can I find alternatives to agentfield or suna? GraphCanon lists graph-backed alternatives at [agentfield alternatives](/tools/agent-field-agentfield/alternatives) and [suna alternatives](/tools/kortix-ai-suna/alternatives) ([agentfield markdown twin](/tools/agent-field-agentfield/alternatives.md), [suna markdown twin](/tools/kortix-ai-suna/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-kortix-ai-suna.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, agentfield or suna? agentfield: Very active. suna: 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 suna? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [agentfield trust report](/tools/agent-field-agentfield/trust); [suna trust report](/tools/kortix-ai-suna/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/_