Home/Compare/agentfield vs swarmclaw

Comparison

agentfield vs swarmclaw

Verdict

Pick agentfield if agentfield is a repository for developing and managing AI agents with a focus on scalability and cloud-native deployment, supporting multiple programming languages including Go, Python, and TypeScript; pick swarmclaw if swarmClaw is an open-source self-hosted AI agent runtime and multi-agent framework that supports agent memory, MCP tools, schedules, delegation, and integrates with over 23 LLM providers.

Markdown twin · agentfield alternatives · swarmclaw alternatives

GraphCanon updated Sep 30, 2026

10views this month

agentfield logo

agentfield

Agent-Field/agentfield

★ 2.6kpushed Sep 17, 2026
vs
swarmclaw logo

swarmclaw

swarmclawai/swarmclaw

★ 673pushed Jun 30, 2026

Trust & integrity

Signalagentfieldswarmclaw
Maintenance
Very active (0d since push)
As of Sep 18, 2026 · github_public_v1
Steady (79d since push)
As of Sep 18, 2026 · github_public_v1
Provenance
Not a fork · Organization account
As of Sep 18, 2026 · github_public_v1
Not a fork · Organization account
As of Sep 18, 2026 · github_public_v1
OSV dependency advisories
No lockfile (source not queried)
As of Sep 18, 2026 · osv@v1
No lockfile (source not queried)
As of Sep 18, 2026 · osv@v1
deps.dev advisories
Not queried
deps.dev@v1
Not queried
deps.dev@v1
OpenSSF Scorecard
Not queried
openssf-scorecard@v1
Not queried
openssf-scorecard@v1

Tagline

agentfield
Build, run and scale AI agents like API and microservices
swarmclaw
Open-source self-hosted AI agent runtime and multi-agent framework

Stars

agentfield
2.6k
swarmclaw
673

Forks

agentfield
415
swarmclaw
137

Open issues

agentfield
45
swarmclaw
18

Language

agentfield
Go
swarmclaw
TypeScript

Adopt for

agentfield
Agentfield is a repository for developing and managing AI agents with a focus on scalability and cloud-native deployment, supporting multiple programming languages including Go, Python, and TypeScript.
swarmclaw
SwarmClaw is an open-source self-hosted AI agent runtime and multi-agent framework that supports agent memory, MCP tools, schedules, delegation, and integrates with over 23 LLM providers.

Persona

agentfield
-
swarmclaw
-

Runtime

agentfield
-
swarmclaw
-

License

agentfield
Apache-2.0
swarmclaw
MIT

Last pushed

agentfield
Sep 17, 2026
swarmclaw
Jun 30, 2026

Categories

agentfield
AI Agents, Inference & Serving
swarmclaw
AI Agents, Inference & Serving, Model Training

Trust and health

Maintenance

agentfield
Very active (96%)
swarmclaw
Steady (60%)

Days since push

agentfield
0d
swarmclaw
79d

Open issues (now)

agentfield
45
swarmclaw
18

Stars delta

agentfield
+93 (30d)
swarmclaw
+43 (30d)

Open issues delta

agentfield
-29 (30d)
swarmclaw
+5 (30d)

Full report

agentfield
Trust report
swarmclaw
Trust report

Choose agentfield if…

  • agentfield is primarily Go; swarmclaw is TypeScript.
  • License: agentfield is Apache-2.0, swarmclaw is MIT.
  • Tags unique to agentfield: agent, agent-auth, agent-authentication, agent-indentity.
  • When you need a scalable solution for deploying AI agents that can be managed like APIs and microservices.

When NOT to use agentfield

  • If your project does not require cloud-native deployment or Kubernetes support, as Agentfield is optimized for these environments.
  • If you are looking for a tool that focuses solely on a single programming language, as Agentfield supports multiple languages and might be overkill for single-language projects.
  • When you need a tool that is not primarily designed for AI agents but for a broader range of microservices or APIs, as Agentfield is specialized for AI agents.

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.
  • Also covers Model Training.
  • swarmclaw ships Docker support for self-hosted deployment.
  • swarmclaw ships an MCP server manifest.
  • When you need a self-hosted solution for managing autonomous agent swarms with support for agent memory and MCP tools.

When NOT to use swarmclaw

  • If you are looking for a solution that does not require self-hosting and prefer a fully managed service.
  • When your project strictly requires a specific LLM provider not supported by SwarmClaw, or if you need a more specialized agent framework that SwarmClaw does not cater to.
  • If your deployment environment does not support Node.js 22.6+ or Docker, which are prerequisites for running SwarmClaw.

Explore

Sources

Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.

GitHub stars on cards: agentfield 2.6k · swarmclaw 673 (synced Sep 20, 2026).

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, agent-auth, agent-authentication, agent-indentity; When you need a scalable solution for deploying AI agents that can be managed like APIs and microservices.
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; Also covers Model Training; swarmclaw ships Docker support for self-hosted deployment; swarmclaw ships an MCP server manifest; When you need a self-hosted solution for managing autonomous agent swarms with support for agent memory and MCP tools.
When should I avoid agentfield?
If your project does not require cloud-native deployment or Kubernetes support, as Agentfield is optimized for these environments. If you are looking for a tool that focuses solely on a single programming language, as Agentfield supports multiple languages and might be overkill for single-language projects. When you need a tool that is not primarily designed for AI agents but for a broader range of microservices or APIs, as Agentfield is specialized for AI agents.
When should I avoid swarmclaw?
If you are looking for a solution that does not require self-hosting and prefer a fully managed service. When your project strictly requires a specific LLM provider not supported by SwarmClaw, or if you need a more specialized agent framework that SwarmClaw does not cater to. If your deployment environment does not support Node.js 22.6+ or Docker, which are prerequisites for running SwarmClaw.
Is agentfield or swarmclaw more popular on GitHub?
agentfield has more GitHub stars (2,565 vs 673). 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 and swarmclaw alternatives (agentfield markdown twin, swarmclaw markdown twin), 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 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: Steady. 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; swarmclaw trust report.

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