danielrosehill/local-ai-agent-resources
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Organised collection of resources for local AI agents - covering CLIs, tooling, and more.
개요
A curated list of — agents whose control loop runs locally on your desktop, laptop, or workstation rather than on a hosted cloud platform. The underlying model may be a hosted API (Anthropic, OpenAI, xAI, Mistral…) or a fully local engine (Ollama, llama.cpp, vLLM). What unifies this list is that . Last updated: 2026-04-06. This list is updated periodically as new projects emerge — expect refreshes on a rolling basis. See SCOPE.md for the full inclusion/exclusion rules and grey-area guidance. In short: CLI/TUI coding agents, sysadmin-style agents, tooling/orchestrators around agent CLIs, MCP servers, multi-agent frameworks that run locally, computer-use agents, desktop GUI agents, personal AI assistants, terminal assistants, harnesses, and desktop-agent protocols. cloud-hosted agent platforms, IDE-first tools where the CLI is only a companion, pure inference engines (Ollama, llama.cpp, vLLM) without an agent loop, and frameworks that don't support tool use / MCP directly.
README
원문 README의 일부입니다. 원문 보기.
Desktop AI Agents
A curated list of on-device AI agent runners, harnesses, and tooling — agents whose control loop runs locally on your desktop, laptop, or workstation rather than on a hosted cloud platform.
The underlying model may be a hosted API (Anthropic, OpenAI, xAI, Mistral…) or a fully local engine (Ollama, llama.cpp, vLLM). What unifies this list is that the harness lives on your machine.
Last updated: 2026-04-06. This list is updated periodically as new projects emerge — expect refreshes on a rolling basis.
Scope
See SCOPE.md for the full inclusion/exclusion rules and grey-area guidance. In short:
In scope: CLI/TUI coding agents, sysadmin-style agents, tooling/orchestrators around agent CLIs, MCP servers, multi-agent frameworks that run locally, computer-use agents, desktop GUI agents, personal AI assistants, terminal assistants, harnesses, and desktop-agent protocols.
Out of scope: cloud-hosted agent platforms, IDE-first tools where the CLI is only a companion, pure inference engines (Ollama, llama.cpp, vLLM) without an agent loop, and frameworks that don’t support tool use / MCP directly.
Badge Legend
Each entry is tagged with shields.io badges. Stars and last-commit update dynamically from GitHub.
| Badge | Meaning |
|---|---|
 |
Built by the model vendor (OpenAI, Anthropic, Mistral, GitHub, Moonshot, xAI…) |
 |
Independent / community project |
   |
Primary interface |
   |
Local-model support |
 |
Supports MCP (Model Context Protocol) |
 |
Supports tool use / function calling |
  |
Primary use case |
Capability badges (Local/MCP/Tools) are best-effort — verify against upstream docs before relying on them.
Table of Contents
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