danielrosehill/local-ai-agent-resources

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Organised collection of resources for local AI agents - covering CLIs, tooling, and more.

Обзор

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

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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