Tools tagged with "Tool calling"

Harbor is a CLI and companion app for people experimenting with AI on their own hardware. It manages a local LLM development environment, connecting model backends to chat interfaces and supporting services so you don't have to configure each connection yourself. It's open source under Apache 2.0.

llama.rn brings llama.cpp into React Native apps so developers can run local LLM inference on iOS and Android. It's an MIT-licensed library for building AI features into a mobile app, with model processing on the device. It uses GGUF models and requires React Native's New Architecture.

Forge is an open-source coding assistant that runs in your terminal and works with models from multiple providers. It's for developers who want an AI agent to edit code and run commands in their own development environment, with a choice of Claude, GPT, OpenAI's O Series, Grok, Deepseek or Gemini.

Claude Code Router is an open-source local model gateway for developers who use coding agents and want to manage their model providers in one place. It runs on macOS, Windows and Linux, with Docker and a CLI with a browser interface also available. The project uses the MIT license.

nanochat is an MIT-licensed toolkit for training your own LLM and chatting with it on hardware you control. It's aimed at researchers and developers who want to study or modify the full training pipeline, with a small Python codebase built on PyTorch.

Witsy is an AGPL-3.0 desktop AI assistant for macOS, Windows and Linux that connects MCP tools to local and cloud models. It's for people who want document chat, writing help and voice features in one app, with a choice of where their models run.

Docker MCP Gateway gives developers one local connection point for the tools their AI applications use. It runs MCP servers in isolated Docker containers and shares their configuration across clients such as Claude Code, Cursor and Zed. This reduces repeated setup when several coding assistants need access to the same databases, APIs or development tools.

LangBot is a self-hosted AI agent platform for teams that want bots in the messaging apps their customers, coworkers or communities already use. It connects Slack, Discord, Telegram, WeChat and other chat services to models and AI workflows, with a browser dashboard for managing bots across platforms.

Enconvo is a native AI assistant and agent for Mac that can use your screen and selected text as context, then work inside your apps. It's for people who want help with writing, research and everyday tasks alongside the app they're using. A sidebar keeps the agent beside the current app, while text selection tools give quick access to editing and translation.

ChatDev is a self-hosted platform for building teams of AI agents through a visual workflow editor. It's for people who want agents to collaborate on research, data analysis or software projects without writing the orchestration code themselves. You define each agent's role and how information passes between them.

Home-LLM connects Home Assistant to language models running on your own hardware, so you can control smart devices through voice or chat. It's for Home Assistant users who want natural language control without relying on a cloud service or subscription. The project pairs a custom integration with small models trained specifically for smart home commands.

Postgres MCP Pro is a self-hosted MCP server that gives AI assistants access to PostgreSQL alongside tools for diagnosing slow queries and testing index recommendations. It's for developers and database maintainers who want their assistant to work with the database's actual schema, query statistics and execution plans. It runs through Docker or Python and is open source under the MIT license.

GitHub MCP Server is GitHub's official connector for developers who want their AI assistant to work with repositories and project activity. It gives compatible coding assistants access to GitHub through the Model Context Protocol (MCP), so they can retrieve context and take actions requested in natural language. The code is open source under the MIT license.

Open Interpreter is a terminal coding assistant built around open-weight models, with model-specific behavior for Kimi, Qwen and DeepSeek. It's a fork of OpenAI's Codex for developers who want to choose their model provider while keeping a familiar agent interface. The project uses the Apache 2.0 license.

LiveKit Agents is a framework for developers building voice assistants, phone agents, and apps that combine speech with video or text. Agents join LiveKit rooms as participants, so they can interact with people through web and mobile apps or telephone calls. The Apache 2.0 project lets you run the entire stack on your own servers, including the LiveKit media server.

CAMEL is an open-source Python framework for developers and researchers building systems where AI agents work together. Its focus is on agent roles, communication, and behavior across extended tasks, with applications in synthetic training data, task automation, and simulated societies. It uses the Apache 2.0 license.

any-llm is a Python library for developers who want the same application to work with local LLM servers and cloud providers. It connects to Ollama and custom OpenAI-compatible endpoints, alongside OpenAI, Anthropic, Mistral and Azure / Microsoft Foundry. A shared interface reduces the provider-specific code needed to try another model or change where inference runs.

Chrome DevTools MCP gives AI coding assistants access to a live Chrome browser through a locally running MCP server. It's for developers who want their agent to inspect how a web app behaves, investigate errors and measure performance alongside its coding work. It works with clients such as Claude Code, Cursor, Copilot and Antigravity.

Cactus is an on-device AI engine for developers building automation into mobile apps, wearables and embedded devices. Its Needle model handles tool calling locally, so a device can turn a request into an action without an internet connection. The focus is small devices, including smart home hardware, robots and microcontrollers.

mcpo makes MCP tools accessible to AI agents and apps that accept OpenAPI servers, including Open WebUI. It's a self-hosted proxy for developers who want to use existing MCP servers with those apps without writing a separate adapter for each tool. You can run it locally or on your own server with Python or Docker. It's open source under the MIT license.

New API is a self-hosted AI gateway for developers and teams that want several model providers behind one service. It builds on One API and converts between OpenAI Chat Completions, Responses, Anthropic Messages and Gemini formats, so apps and agents can switch providers without changing each client's connection settings.

BoltAI is a native Mac app for people who want local LLMs and cloud AI services in the same workspace. It runs on Intel and Apple Silicon Macs and suits coding, writing, research and document analysis. The interface uses SwiftUI and AppKit.

Langchain-Chatchat is a self-hosted application for asking questions about your own documents and using AI agents. It focuses on Chinese-language use and open models, with a fully offline setup that can keep documents and model processing on your hardware. Its code is open source under Apache 2.0.

ChatOllama is an AI agent app whose main interface is a command-line client running on your machine. It's for people who want an agent to work with local files while choosing between models served by Ollama and hosted services. The repository license modifies Apache 2.0: commercial hosting and multi-tenant services require authorization, and frontend branding must remain intact.

AstrBot brings AI assistants into messaging apps such as Telegram, Discord, Slack, QQ and WeCom. It's an open source platform under AGPL-3.0 for people building personal companions, customer support bots or team automation. You can run it on your own computer or server, including through Docker, or use its desktop app for browser-style chat.

TabbyAPI is a self-hosted LLM API server built around ExLlamaV3, for people who want local model inference behind an OpenAI-compatible API. It's the official server for that backend. The project targets personal use and small groups, and its maintainers explicitly advise against using it for production workloads.

Cheshire Cat is a self-hosted Python framework for people learning how AI agents work or building custom assistants for research and creative projects. It pairs a local web chat interface with an API, so you can test an agent in conversation and use it inside another application. It's open source under GPL-3.0.

Mattermost Agents brings AI assistants into a self-hosted Mattermost workspace, with a choice of local models or cloud providers. It's for teams that want help with long discussions and meeting recordings while controlling where their collaboration data goes. The plugin is open source under Apache 2.0.

Leon is a self-hosted personal AI assistant for Linux, macOS and Windows. The project focuses on the 2.0 Developer Preview on its develop branch. Its MIT-licensed runtime combines tools, context and memory with a local web interface.

OpenAdapt turns a demonstrated task into a repeatable program for browser, desktop, and remote applications. Its local, MIT-licensed open-source engine is for teams and AI agent builders who need to automate work in interfaces their APIs can't reach. It checks the outcome independently before reporting success and stops when verification fails.

Agent S is an open-source AI agent framework that controls ordinary desktop and web applications through the screen, mouse and keyboard. It runs on macOS, Windows and Linux and is aimed at developers, computer-use researchers and people building automation for their own desktops. You describe the task in natural language; the agent clicks, types and scrolls without requiring an API integration or a separate script for each application.

LLM is an Apache-2.0 command-line tool and Python library for sending prompts to local models and remote APIs. Local model support comes through plugins; cloud providers require their own API access. It can also connect to an arbitrary OpenAI-compatible Chat Completions endpoint, including LM Studio.

AG2 is an open-source Python framework for developers and researchers building systems where AI agents share work. The code uses the Apache 2.0 license.

text-generation-webui, also called TextGen, runs language models on your own hardware through a desktop app or a self-hosted browser interface. It's for people who want private chat and writing tools, and developers who need a local model API. It works offline without telemetry; web search and page fetching use the internet.

LangChain is an MIT-licensed open-source framework for developers building AI agents and applications powered by LLMs. It provides a shared interface for models, tools and data connections, so developers can change providers or test workflows without rebuilding the whole application.

Spring AI is an open-source Java framework for developers adding AI to Spring applications. It connects application data and APIs to models through a common interface, with Ollama support for local LLM use and integrations with cloud providers such as OpenAI, Anthropic and Amazon Bedrock. The framework runs within your application; your choice of model provider determines whether model requests stay local or go to a cloud service.