Comparison
agentfield vs agents
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 agents if 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.
Markdown twin · agentfield alternatives · agents alternatives
GraphCanon updated today
vs
Trust & integrity
| Signal | agentfield | agents |
|---|---|---|
| Maintenance | Very active (1d since push) As of today · github_public_v1 | Very active (2d since push) As of today · github_public_v1 |
| Provenance | Not a fork · Organization 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 |
Tagline
- agentfield
- Build, run and scale AI agents like API and microservices
- agents
- Multi-harness agentic plugin marketplace for various AI agents
Stars
- agentfield
- 2.3k
- agents
- 38k
Forks
- agentfield
- 371
- agents
- 4.0k
Open issues
- agentfield
- 91
- agents
- 1
Language
- agentfield
- Go
- agents
- Python
Adopt for
- agentfield
- 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.
- 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
- agentfield
- -
- agents
- -
Runtime
- agentfield
- -
- agents
- -
License
- agentfield
- Apache-2.0
- agents
- MIT
Last pushed
- agentfield
- Jul 10, 2026
- agents
- Jul 8, 2026
Categories
- agentfield
- AI Agents
- agents
- AI Agents, Developer Tools
Trust and health
Days since push
- agentfield
- 1d
- agents
- 2d
Open issues (now)
- agentfield
- 91
- agents
- 1
Owner type
- agentfield
- Organization
- agents
- User
Security scan
- agentfield
- No lockfile
- agents
- No MCP manifest
Full report
- agentfield
- Trust report
- agents
- Trust report
Choose agentfield if…
- agentfield is primarily Go; agents is Python.
- License: agentfield is Apache-2.0, agents is MIT.
- Tags unique to agentfield: agent-scaling, multiagent, agent-auth, genai.
- When you seek to manage and scale your AI agents with robust identity awareness and auditability features from inception.
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.
Choose agents if…
- agents is primarily Python; agentfield is Go.
- License: agents is MIT, agentfield is Apache-2.0.
- Tags unique to agents: agent-skills, workflows, prompt-engineering, automation.
- Also covers Developer Tools.
- 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
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (Agent-Field/agentfield) · observed Jul 11, 2026
- GitHub forks (Agent-Field/agentfield) · observed Jul 11, 2026
- Last push (Agent-Field/agentfield) · observed Jul 10, 2026
- License file (Apache-2.0) · observed Jul 11, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (wshobson/agents) · observed Jul 11, 2026
- GitHub forks (wshobson/agents) · observed Jul 11, 2026
- Last push (wshobson/agents) · observed Jul 8, 2026
- License file (MIT) · observed Jul 11, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: agentfield 2.3k · agents 38k (synced Jul 11, 2026).
Common questions
- What is the difference between agentfield and agents?
- agentfield: Build, run and scale AI agents like API and microservices. 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 agentfield over agents?
- Choose agentfield over agents when agentfield is primarily Go; agents is Python; License: agentfield is Apache-2.0, agents is MIT; Tags unique to agentfield: agent-scaling, multiagent, agent-auth, genai; When you seek to manage and scale your AI agents with robust identity awareness and auditability features from inception.
- When should I choose agents over agentfield?
- Choose agents over agentfield when agents is primarily Python; agentfield is Go; License: agents is MIT, agentfield is Apache-2.0; Tags unique to agents: agent-skills, workflows, prompt-engineering, automation; Also covers Developer Tools; 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 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 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 agentfield or agents more popular on GitHub?
- agents has more GitHub stars (37,779 vs 2,339). Stars measure visibility, not whether either tool fits your constraints.
- Are agentfield and agents open source?
- Yes - both are open-source projects on GitHub (agentfield: Apache-2.0, agents: MIT).
- Where can I find alternatives to agentfield or agents?
- GraphCanon lists graph-backed alternatives at agentfield alternatives and agents alternatives (agentfield 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, agentfield or agents?
- agentfield: Very active. 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 agentfield and agents?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: agentfield trust report; agents trust report.