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
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
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
- readme: https://github.com/edison7009/EchoBird · fetched 2026-08-28 · a0a275e8ccfd
- homepage: https://Echobird.ai · fetched 2026-08-29 · 673ed875a052
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| edison7009/EchoBird | main | 78 |
For agents
markdown · JSON · MCP: product_card(name="edison7009/EchoBird")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem