Skillget

claude-anyteam

agent
Guvenlik Denetimi
Uyari
Health Uyari
  • No license — Repository has no license file
  • Description — Repository has a description
  • Active repo — Last push 0 days ago
  • Low visibility — Only 5 GitHub stars
Code Uyari
  • process.env — Environment variable access in npm/bin/setup.js
  • process.env — Environment variable access in npm/lib/detect.js
  • network request — Outbound network request in npm/lib/detect.js
Permissions Gecti
  • Permissions — No dangerous permissions requested
Purpose
This tool is an adapter that integrates external AI models (like OpenAI Codex and Gemini) into Claude Code's Agent Teams feature, enabling multi-model collaboration within a single terminal session.

Security Assessment
Overall risk: Medium. The installer makes outbound network requests to detect installed tools and probes environment variables. As an agent orchestrator, it inherently requires the ability to execute shell commands to manage tmux sessions, route tasks, and spawn external CLI processes. No hardcoded secrets were found, and the tool does not explicitly request dangerous system permissions. However, the automated single-command install script (`npx --yes`) downloads and configures local environments, and the rule-based scan flagged warnings about environment variable access and network activity.

Quality Assessment
The project is brand new and currently has very low community visibility, sitting at only 5 GitHub stars despite having passing tests. The repository description mentions an MIT license in its badges, but a license file was not detected by the automated scan, which creates slight legal uncertainty. Maintenance appears active, with repository pushes occurring as recently as today.

Verdict
Use with caution — while it appears to be an actively maintained and functional integration tool, its low community adoption and automated system-level setup warrant a thorough manual code review before deploying in sensitive environments.
SUMMARY

Native Claude Code teammates, any LLM. Codex today. Gemini, Kimi, GLM, DeepSeek next.

README.md
claude-anyteam

Native Claude Code teammates, any LLM.

Codex and Gemini today. Kimi, GLM, DeepSeek next — on the same team-native architecture.

License
Python
Node
Backends
Tests

Quickstart · Architecture · Roadmap

claude-anyteam spawning a mixed Codex + Claude team

What it is

Claude Code's Agent Teams feature is built for multi-agent collaboration — but every teammate is a Claude instance. claude-anyteam makes it possible for any external model to join the same team, with the same native UX, without wrapping it inside a Claude LLM.

Your Claude Code session orchestrates. External models execute. No chat-wrapper overhead. No "Claude pretending to be Codex." Real models, real teammates.

claude-anyteam architecture

Quickstart

npx --yes claude-anyteam

That's the entire install. The installer:

  • Detects python3 and installs uv if missing (non-interactive, no shell profile edits)
  • Installs the claude-anyteam Python tool via uv tool install
  • Runs claude-anyteam install (verifies tmux/psmux, probes for the OpenAI Codex CLI and Gemini CLI, warns if either is missing or Codex is below 0.120, writes ~/.claude/settings.json + ~/.claude.json, records install-state for symmetric uninstall)

Restart Claude Code, enable Agent Teams mode, and create a teammate named codex-<anything> or gemini-<anything>:

codex-alice      → routed to claude-anyteam + Codex
codex-reviewer   → routed to claude-anyteam + Codex
gemini-alice     → routed to claude-anyteam + Gemini CLI
gemini-reviewer  → routed to claude-anyteam + Gemini CLI
alice            → native Claude (unchanged)

Codex- and Gemini-prefixed names appear in your TUI presence line exactly like native teammates. Single-terminal mode or tmux — both work.

Why it feels native

Real teammate protocol

Not a chat wrapper. The adapter speaks Claude Code's agent-team protocol directly: mailbox I/O, atomic task claims, idle notifications, shutdown lifecycle. A Codex teammate is functionally indistinguishable from a native Claude teammate.

Mid-task reactivity

When a peer messages a working teammate, the adapter injects the message mid-turn via Codex's turn/steer App Server call. Codex reshapes the in-flight turn instead of discarding it. v7.1.

Cross-task memory

Each new task forks from the previous task's Codex thread via thread/fork. The teammate carries its own conversational context forward across the team's task list. v7.3.

Battle-tested parity

348 passing tests. Ten parity bugs caught by a live 4-teammate hunt (mixed Claude + Codex) and fixed. Zero accepted limitations on the protocol layer.

Supported backends

Backend Teammate prefix Status Notes
Codex via OpenAI Codex CLI 0.120+ codex-* ✅ Supported today App Server mode for mid-task steer and thread/fork; fresh-exec fallback with codex exec resume.
Gemini via Gemini CLI gemini-* ✅ Supported today Default headless gemini --prompt ... --output-format stream-json, plus ACP via gemini-anyteam --backend acp; ACP supports `--trust default

Coming next

Coming next
⏳ Kimi adapter
⏳ GLM adapter
⏳ DeepSeek adapter
⏳ Generic CLI adapter template

Codex and Gemini are shipping. Everything in "coming next" is on the same architectural surface — each new model is a new adapter binary + one line in the spawn shim's routing table. See docs/roadmap.md.

Requirements

  • Python 3.12+
  • Node 18+ (for the npm installer; not required at runtime)
  • OpenAI Codex CLI 0.120+ on PATH for codex-* teammates
  • Gemini CLI on PATH for gemini-* teammates
  • Claude Code 2.1+ with Agent Teams mode
  • Terminal multiplexer on PATH (tmux or psmux) — see configuration.md

Docs

  • Install — how the installer wires Claude Code, alternative install methods, headless launches
  • Architecture — how the adapter integrates with Claude Code's team protocol
  • Roadmap — supported today vs coming next, contribution pointers
  • Configuration — CLI flags, env vars, advanced modes
  • Releasing — maintainer-facing tag-triggered publish flow

License

MIT

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