Ross ROSS = Recommend OSS · open-source software intelligence for agents

edison7009/EchoBird

One-click install + model switch:Claude Code,Codex CLI (OpenAI), Grok Build (xAI), DeepSeek Harness, Kimi Code (Moonshot) ,Qwen Code,Aider,OpenCode,MiMo Code (Xiaomi),ZCode (Z.AI),OpenClaw,Pi,OpenScience,Vibe-Trading,Claude Desktop (3P profile),ChatGPT desktop,OpenCode Desktop, observed · 2026-08-28

github.com/edison7009/EchoBird · homepage · Rust · MIT (permissive) observed · 2026-08-28

Health v2 · maintenance only

78/100

  • Activity 99
  • Release rhythm 87
  • Longevity 14
How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.

  • gap_med: 0.0
  • age_days: 199
  • days_rel: 11
  • days_push: 7
  • n_releases_24m: 151

Full methodology

Adoption not part of the score

3130 stars · 348 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

EchoBird is a cross-platform desktop application (Tauri + Rust) that provides one-click installation, launching, and model configuration for 25+ AI coding agents and desktop apps such as Claude Code, Codex, OpenCode, and Aider. It also bundles local LLM deployment via llama.cpp, vLLM, and SGLang with a unified model hub supporting OpenAI and Anthropic protocols.

Use cases

  • install claude code and other ai coding agents with one click
  • switch models across multiple ai agent tools from one place
  • run local llms like qwen or deepseek on my own machine
  • manage openai and anthropic api keys and endpoints centrally
  • avoid manually editing and env files for ai tools
  • deploy a local model with an openai-compatible endpoint
  • detect installed ai agents and fix broken setups

When to choose

  • you use several AI coding agents and want unified installation and model switching
  • you want to run local LLMs with automatic GPU detection and dual OpenAI/Anthropic endpoints
  • you want a GUI launcher for AI tools without touching the terminal
  • you want one place to configure API keys and endpoints across many AI apps

When to avoid

  • you only use a single AI tool and are comfortable with its native setup
  • you need headless or CI automation rather than a desktop GUI
  • you need fine-grained control beyond what the model hub exposes
  • you require an audited enterprise deployment pipeline

Facets

application · maturity active

llm-inference agent-framework deployment configuration-management large-language-models developer-tools self-hosted windows cross-platform tauri model-switching ai-agent-installer llama-cpp vllm sglang model-hub one-click-install local-llm rust ai-agents macos linux desktop

2 sources

Member repositories

RepositoryRoleHealth v2
edison7009/EchoBirdmain78

For agents

markdown · JSON · MCP: product_card(name="edison7009/EchoBird")

Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem