# 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,

Repository: https://github.com/edison7009/EchoBird
Canonical: https://ross.abutalabs.com/products/echobird
Homepage: https://Echobird.ai
Language: Rust
License: MIT
License Family: permissive
Topics: claude-code, kimi-code, openclaw, opencode, zcode, dsh-plugin, dsh-plugins, deepseek, deepseek-harness
Last push: 2026-08-26T20:03:02+00:00

## Health v2 (maintenance only)
Score: 78/100 (v2, computed 2026-09-03T02:39:23.370411+00:00)
- activity 99, release rhythm 87, longevity 14
- inputs: {"age_days": 199, "days_push": 7, "days_rel": 11, "gap_med": 0.0, "n_releases_24m": 151}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 3130, forks 348 (observed 2026-08-28T04:07:45.484245+00:00)

## What it is
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
- artifact type: application
- maturity: active
- function: llm-inference, agent-framework, deployment, configuration-management
- domain: large-language-models, developer-tools, self-hosted
- platform: windows, cross-platform
- tags: tauri, model-switching, ai-agent-installer, llama-cpp, vllm, sglang, model-hub, one-click-install, local-llm, rust, ai-agents, macos, linux, desktop

## Member repositories
- edison7009/EchoBird (main) score 78

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:07:45.484245+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T07:26:16.699873+00:00, confidence not recorded.
  - readme: https://github.com/edison7009/EchoBird (fetched 2026-08-28T04:07:45.484245+00:00, sha a0a275e8ccfd)
  - homepage: https://Echobird.ai (fetched 2026-08-29T09:41:02.146623+00:00, sha 673ed875a052)
- Data as of 2026-08-30T08:39:29.467469+00:00.