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Comparison

FlagAI vs agents

Verdict

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

Markdown twin · FlagAI alternatives · agents alternatives

GraphCanon updated today

FlagAI logo

FlagAI

FlagAI-Open/FlagAI

★ 3.9kpushed May 11, 2026
vs
agents logo

agents

wshobson/agents

★ 38kpushed Jul 8, 2026

Trust & integrity

SignalFlagAIagents
Maintenance
Steady (61d 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
FlagAI trust reportagents trust reportTrust methodology

Tagline

FlagAI
FlagAI (Fast LArge-scale General AI models) is a fast, easy-to-use and extensible toolkit for large-scale model.
agents
Multi-harness agentic plugin marketplace for various AI agents

Stars

FlagAI
3.9k
agents
38k

Forks

FlagAI
416
agents
4.0k

Open issues

FlagAI
22
agents
1

Language

FlagAI
Python
agents
Python

Adopt for

FlagAI
-
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

FlagAI
-
agents
-

Runtime

FlagAI
-
agents
-

License

FlagAI
Apache-2.0
agents
MIT

Last pushed

FlagAI
May 11, 2026
agents
Jul 8, 2026

Categories

FlagAI
Developer Tools
agents
AI Agents, Developer Tools

Trust and health

Maintenance

FlagAI
Steady (60%)
agents
Very active (96%)

Days since push

FlagAI
61d
agents
2d

Open issues (now)

FlagAI
22
agents
1

Owner type

FlagAI
Organization
agents
User

Security scan

FlagAI
No lockfile
agents
No MCP manifest

Full report

FlagAI
Trust report
agents
Trust report

Choose FlagAI if…

  • License: FlagAI is Apache-2.0, agents is MIT.
  • Tags unique to FlagAI: python.

When NOT to use FlagAI

  • Developer Tools: A gateway is overkill when you're pinned to a single provider and model.
GitHubDetails

Choose agents if…

  • License: agents is MIT, FlagAI is Apache-2.0.
  • Tags unique to agents: agent-skills, workflows, agentic-ai, 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

FlagAI 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: FlagAI 3.9k · agents 38k (synced Jul 11, 2026).

Common questions

What is the difference between FlagAI and agents?
FlagAI: FlagAI (Fast LArge-scale General AI models) is a fast, easy-to-use and extensible toolkit for large-scale model.. 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 FlagAI over agents?
Choose FlagAI over agents when License: FlagAI is Apache-2.0, agents is MIT; Tags unique to FlagAI: python.
When should I choose agents over FlagAI?
Choose agents over FlagAI when License: agents is MIT, FlagAI is Apache-2.0; Tags unique to agents: agent-skills, workflows, agentic-ai, 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 FlagAI?
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 FlagAI or agents more popular on GitHub?
agents has more GitHub stars (37,779 vs 3,868). Stars measure visibility, not whether either tool fits your constraints.
Are FlagAI and agents open source?
Yes - both are open-source projects on GitHub (FlagAI: Apache-2.0, agents: MIT).
Where can I find alternatives to FlagAI or agents?
GraphCanon lists graph-backed alternatives at FlagAI alternatives and agents alternatives (FlagAI 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, FlagAI or agents?
FlagAI: Steady. 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 FlagAI and agents?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: FlagAI trust report; agents trust report.