--- title: "agentfield vs swarmclaw" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/agent-field-agentfield-vs-swarmclawai-swarmclaw" tools: ["agent-field-agentfield", "swarmclawai-swarmclaw"] --- # agentfield vs swarmclaw *GraphCanon updated Jul 12, 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 swarmclaw if swarmClaw is a versatile open-source AI agent runtime designed for running autonomous agent swarms across multiple LLM providers. [agentfield](http://www.agentfield.ai) reports 2.3k GitHub stars, 371 forks, and 91 open issues, last pushed Jul 10, 2026. [swarmclaw](https://www.swarmclaw.ai) has 611 stars, 130 forks, and 8 open issues, last pushed Jun 30, 2026. Figures are from public GitHub metadata via [agentfield's repository](https://github.com/Agent-Field/agentfield) and [swarmclaw's repository](https://github.com/swarmclawai/swarmclaw). | | [agentfield](/tools/agent-field-agentfield.md) | [swarmclaw](/tools/swarmclawai-swarmclaw.md) | | --- | --- | --- | | Tagline | Build, run and scale AI agents like API and microservices | Open-source self-hosted AI agent runtime and multi-agent framework | | Stars | 2,339 | 611 | | Forks | 371 | 130 | | Open issues | 91 | 8 | | 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. | SwarmClaw is a versatile open-source AI agent runtime designed for running autonomous agent swarms across multiple LLM providers. | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | MIT | | Categories | AI Agents | AI Agents | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [agentfield](/tools/agent-field-agentfield.md) | [swarmclaw](/tools/swarmclawai-swarmclaw.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Active (82%) | | Days since push | 1d | 11d | | Open issues (now) | 91 | 8 | | Security scan | No lockfile | No MCP manifest | | Full report | [trust report](/tools/agent-field-agentfield/trust.md) | [trust report](/tools/swarmclawai-swarmclaw/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: swarmclaw - **Adopt for:** SwarmClaw is a versatile open-source AI agent runtime designed for running autonomous agent swarms across multiple LLM providers. ## Choose when ### Choose agentfield if… - agentfield is primarily Go; swarmclaw is TypeScript. - License: agentfield is Apache-2.0, swarmclaw is MIT. - 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 swarmclaw if… - swarmclaw is primarily TypeScript; agentfield is Go. - License: swarmclaw is MIT, agentfield is Apache-2.0. - Tags unique to swarmclaw: agent-framework, agent-memory, agent-runtime, agent-swarm. - swarmclaw ships Docker support for self-hosted deployment. - swarmclaw ships an MCP server manifest. - - You are working with or planning to integrate more than 23 supported language models (like Claude, GPT, Gemini), and require flexibility in choosing your model provider. ## 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 swarmclaw - - If you are already deeply invested in proprietary solutions that aren't compatible with the ecosystem supported by SwarmClaw, such as specific enterprise integrations. - - When your use case strictly requires real-time high-volume data processing and SwarmClaw’s current capabilities might pose limitations due to performance or scalability concerns. ## Common questions ### What is the difference between agentfield and swarmclaw? agentfield: Build, run and scale AI agents like API and microservices. swarmclaw: Open-source self-hosted AI agent runtime and multi-agent framework. See the comparison table for live GitHub stats and shared categories. ### When should I choose agentfield over swarmclaw? Choose agentfield over swarmclaw when agentfield is primarily Go; swarmclaw is TypeScript; License: agentfield is Apache-2.0, swarmclaw is MIT; 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 swarmclaw over agentfield? Choose swarmclaw over agentfield when swarmclaw is primarily TypeScript; agentfield is Go; License: swarmclaw is MIT, agentfield is Apache-2.0; Tags unique to swarmclaw: agent-framework, agent-memory, agent-runtime, agent-swarm; swarmclaw ships Docker support for self-hosted deployment; swarmclaw ships an MCP server manifest; - You are working with or planning to integrate more than 23 supported language models (like Claude, GPT, Gemini), and require flexibility in choosing your model provider. ### 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 swarmclaw? - If you are already deeply invested in proprietary solutions that aren't compatible with the ecosystem supported by SwarmClaw, such as specific enterprise integrations. - When your use case strictly requires real-time high-volume data processing and SwarmClaw’s current capabilities might pose limitations due to performance or scalability concerns. ### Is agentfield or swarmclaw more popular on GitHub? agentfield has more GitHub stars (2,339 vs 611). Stars measure visibility, not whether either tool fits your constraints. ### Are agentfield and swarmclaw open source? Yes - both are open-source projects on GitHub (agentfield: Apache-2.0, swarmclaw: MIT). ### Where can I find alternatives to agentfield or swarmclaw? GraphCanon lists graph-backed alternatives at [agentfield alternatives](/tools/agent-field-agentfield/alternatives) and [swarmclaw alternatives](/tools/swarmclawai-swarmclaw/alternatives) ([agentfield markdown twin](/tools/agent-field-agentfield/alternatives.md), [swarmclaw markdown twin](/tools/swarmclawai-swarmclaw/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-swarmclawai-swarmclaw.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, agentfield or swarmclaw? agentfield: Very active. swarmclaw: 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 swarmclaw? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [agentfield trust report](/tools/agent-field-agentfield/trust); [swarmclaw trust report](/tools/swarmclawai-swarmclaw/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/_