ruflo vs awesome-claude-agents

Claude Code agent teams and workflow tools compared

ruflo and awesome-claude-agents both coordinate specialized AI agents for coding work. ruflo is a TypeScript harness for Claude Code and Codex with memory, workflows, and integrations, while awesome-claude-agents is a collection of 24 specialists built specifically for Claude Code.

rufloawesome-claude-agents
LanguageTypeScript—
LicenseMITMIT
Stars73.8k4.4k
Forks8.8k532
Last analyzedOct 3, 2026Nov 2, 2026

Key differences

  • ruflo supports Claude Code and Codex; awesome-claude-agents is built for Claude Code and requires its CLI.
  • ruflo combines agent coordination with persistent memory, reusable workflows, MCP integrations, and federation features; awesome-claude-agents focuses on specialist agents and project-aware configuration.
  • ruflo offers hierarchical, mesh, and adaptive swarm topologies; awesome-claude-agents groups its agents into orchestrators, framework specialists, universal experts, and core roles.
  • ruflo is written in TypeScript; awesome-claude-agents provides agent files that can be installed by symlink or copying.
  • Both projects use the MIT license. The provided repository figures list 73.8k stars and 8.8k forks for ruflo, and 4.4k stars and 532 forks for awesome-claude-agents.
  • awesome-claude-agents is labeled experimental and has had no commits in over a year; ruflo is not archived.

Choose ruflo if you…

  • need agent coordination across Claude Code and Codex workflows.
  • want persistent memory, reusable workflows, or MCP integrations alongside agent teams.
  • need a broader harness with multiple coordination topologies and provider integrations.
Read the ruflo analysis →

Choose awesome-claude-agents if you…

  • want a focused collection of 24 specialized agents for Claude Code.
  • work with a supported framework and want project-aware agent guidance from its configurator.
  • are prepared to validate an experimental project and account for token-intensive workflows.
Read the awesome-claude-agents analysis →

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This comparison is generated with AI from the OSRepos analyses of both projects. Always check each project's repository and documentation before choosing.