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Comparison

SPIN vs agents

Verdict

Pick SPIN when license: SPIN is Apache-2.0, agents is MIT; pick agents when license: agents is MIT, SPIN is Apache-2.0.

Markdown twin · SPIN alternatives · agents alternatives

GraphCanon updated today

SPIN logo

SPIN

uclaml/SPIN

★ 1.2kpushed May 8, 2024
vs
agents logo

agents

wshobson/agents

★ 38kpushed Jul 8, 2026

Trust & integrity

SignalSPINagents
Maintenance
Dormant (794d since push)
As of today · github_public_v1
Very active (2d since push)
As of today · github_public_v1
Provenance
Not a fork · Personal account
As of today · github_public_v1
Not a fork · Personal account
As of today · github_public_v1
Security (OSV)
No lockfile
As of today · none
No MCP manifest
As of today · mcp_manifest
SPIN trust reportagents trust reportTrust methodology

Tagline

SPIN
The official implementation of Self-Play Fine-Tuning (SPIN)
agents
Multi-harness agentic plugin marketplace for various AI agents

Stars

SPIN
1.2k
agents
38k

Forks

SPIN
105
agents
4.0k

Open issues

SPIN
24
agents
1

Language

SPIN
Python
agents
Python

Adopt for

SPIN
-
agents
The agents tool is a marketplace for plugins that enhances multiple AI agents, offering integration and management capabilities across several platforms, including Claude Code, Codex CLI, Cursor, OpenCode, GitHub Copilot

Persona

SPIN
-
agents
-

Runtime

SPIN
-
agents
-

License

SPIN
Apache-2.0
agents
MIT

Last pushed

SPIN
May 8, 2024
agents
Jul 8, 2026

Categories

SPIN
Developer Tools
agents
AI Agents, Developer Tools

Trust and health

Maintenance

SPIN
Dormant (18%)
agents
Very active (96%)

Days since push

SPIN
794d
agents
2d

Open issues (now)

SPIN
24
agents
1

Security scan

SPIN
No lockfile
agents
No MCP manifest

Full report

SPIN
Trust report
agents
Trust report

Choose SPIN if…

  • License: SPIN is Apache-2.0, agents is MIT.
  • Tags unique to SPIN: deep-learning, fine-tuning, large-language-models, python.

When NOT to use SPIN

  • Last GitHub push was 795 days ago (dormant maintenance, May 8, 2024). Validate activity before betting a new project on SPIN.
  • Developer Tools: A gateway is overkill when you're pinned to a single provider and model.
GitHubDetails

Choose agents if…

  • License: agents is MIT, SPIN is Apache-2.0.
  • Tags unique to agents: agent-skills, agentic-ai, automation, prompt-engineering.
  • Also covers AI Agents.
  • You are working specifically within the ecosystems of Claude Code, Codex CLI, Cursor, OpenCode, GitHub Copilot, or Gemini CLI, as it provides tailored plugins for these environments

When NOT to use agents

  • You are working solely within a niche environment that isn't one of the supported platforms (like Claude Code, Codex CLI, etc.) because it may not offer compatible plugins or extensive support
  • Your project requirements do not include interoperability between multiple AI agents and you only need to leverage functionalities from a single AI agent with a robust in-built plugin ecosystem
GitHubDetails

Explore

SPIN trust report →agents trust report →Developer Tools category →AI Agents category →All comparisonsStack workflowsTrending tools

Sources

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

GitHub stars on cards: SPIN 1.2k · agents 38k (synced Jul 11, 2026).

Common questions

What is the difference between SPIN and agents?
SPIN: The official implementation of Self-Play Fine-Tuning (SPIN). agents: Multi-harness agentic plugin marketplace for various AI agents. See the comparison table for live GitHub stats and shared categories.
When should I choose SPIN over agents?
Choose SPIN over agents when License: SPIN is Apache-2.0, agents is MIT; Tags unique to SPIN: deep-learning, fine-tuning, large-language-models, python.
When should I choose agents over SPIN?
Choose agents over SPIN when License: agents is MIT, SPIN is Apache-2.0; Tags unique to agents: agent-skills, agentic-ai, automation, prompt-engineering; Also covers AI Agents; You are working specifically within the ecosystems of Claude Code, Codex CLI, Cursor, OpenCode, GitHub Copilot, or Gemini CLI, as it provides tailored plugins for these environments.
When should I avoid SPIN?
Last GitHub push was 795 days ago (dormant maintenance, May 8, 2024). Validate activity before betting a new project on SPIN. Developer Tools: A gateway is overkill when you're pinned to a single provider and model.
When should I avoid agents?
You are working solely within a niche environment that isn't one of the supported platforms (like Claude Code, Codex CLI, etc.) because it may not offer compatible plugins or extensive support Your project requirements do not include interoperability between multiple AI agents and you only need to leverage functionalities from a single AI agent with a robust in-built plugin ecosystem
Is SPIN or agents more popular on GitHub?
agents has more GitHub stars (37,779 vs 1,247). Stars measure visibility, not whether either tool fits your constraints.
Are SPIN and agents open source?
Yes - both are open-source projects on GitHub (SPIN: Apache-2.0, agents: MIT).
Where can I find alternatives to SPIN or agents?
GraphCanon lists graph-backed alternatives at SPIN alternatives and agents alternatives (SPIN markdown twin, agents 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, SPIN or agents?
SPIN: Dormant. agents: 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 SPIN and agents?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: SPIN trust report; agents trust report.