Tools tagged with "Tool calling"

TabbyAPI is a self-hosted LLM API server for people who want to run ExLlamaV3 models on their own hardware. It’s built for personal projects and small groups; its maintainers don’t recommend it for production servers.

Agent S is a computer-use AI agent framework for developers and researchers building desktop automation. It takes natural-language tasks and operates desktop and web applications through their screen interfaces, without requiring an API integration for each app.

Fast Agent is a terminal coding assistant and Python toolkit for developers building AI agents and automated workflows. You can choose local LLMs or hosted providers and use the same toolkit for interactive work, scripting, and evaluation.

Revornix is an AI knowledge workspace for people who collect articles, research papers and recordings and want to ask questions across their library. It connects saved material in a personal knowledge graph and uses those relationships to inform its answers.

opencodex is a local AI gateway for developers who want to choose which models power their coding assistants. It connects Codex, Claude Code, Claude Desktop and Grok Build to alternative providers while keeping each tool's native interface.

Flawless provides CISRE, a self-hosted AI SRE platform for teams investigating Kubernetes incidents. It connects evidence collection and diagnosis with approved changes and checks that the affected resource has recovered.

Microsoft Agent Framework is an AI agent framework for developers building locally hosted applications in Python or C#/.NET. It supports local development and self-hosting of the application, while integrations such as Azure OpenAI and OpenAI send model requests to those providers. Self-hosting the app doesn't make those calls offline or remove provider costs.

Agent Zero is a self-hosted AI agent framework for people who want an assistant to carry out research, coding, and document work on a computer. You can watch its actions and intervene in the same desktop with your mouse and keyboard.

ChatOllama is an AI agent app with a command-line interface for people who want to use local models or hosted services from the same client. It discovers available models from connected providers, including installed models at an Ollama endpoint.

OpenMAIC is a self-hosted AI classroom platform for learners and educators building lessons from a topic or their own materials. AI teachers and classmates explain concepts and discuss questions during the lesson.

py-xiaozhi is a Python AI voice client for people who want to try Xiaozhi conversations on a computer or build voice interaction into hardware projects. It builds on the xiaozhi-esp32 project and lets you use a desktop microphone and speakers without dedicated Xiaozhi hardware.

CodeGPT is an AI coding assistant for developers who want help writing, refactoring and debugging code inside their editor. It supports VS Code, JetBrains and Visual Studio, with a choice of local or cloud models.

DeepAudit is an AI code security auditing platform for developers and security researchers who want to investigate vulnerabilities in their projects. It combines automated code review with executable tests to help assess whether suspected flaws are exploitable.

Grok Build is a terminal coding assistant whose runtime edits files and executes commands on your computer. The default connection uses xAI’s remote inference service and needs network access and authentication. Browser login, device codes and API keys are supported, and organizations can configure third-party BYOK endpoints.

Phantasm is an iPhone AI chat app for people who want to use models running on their own machines. The phone provides the chat interface, while a backend you control handles inference.

DSPy is a Python framework for developers building language model applications with local backends such as Ollama on a laptop or SGLang on a GPU server. It connects application code to those model servers, which handle inference on your hardware. It also supports cloud providers, so where model requests go depends on the backend you choose.

Waggle is a local MCP server for developers coordinating AI agents across coding tools. It lets agents pass references to plans, reports and other artifacts while keeping a record of who created them and what recipients read.

SmartSub helps video creators subtitle recordings and dub them into other languages. You can use its transcription, translation, proofreading, dubbing and export tools separately or combine them for batch processing.

OpenHarness is a Python framework for developers and researchers building AI agents that can act on files, use tools and retain work across sessions. It includes ohmo, a personal agent that handles coding tasks through Feishu, Slack, Telegram or Discord.

MCP Agent is a Python framework for developers building AI agents that use tools through Model Context Protocol (MCP). It handles connections to MCP servers and provides reusable workflows for coordinating agents across a task.

Qwen Code is an AI coding assistant for developers who want an agent to review code, fix bugs and carry out work in a project. You can use it in a terminal, editor, desktop app or browser.

Ollama JavaScript is a library for developers adding model chat, generation or retrieval features to JavaScript applications. It connects those applications to an Ollama server, including one running locally.

Row-Bot is a local AI assistant for people who want to research, create documents and automate work on their own computer. It combines conversations with memory and agents that can continue working on longer tasks.

Codex iOS Assistant connects Codex on your Mac to your iPhone so the assistant can perform phone actions and retrieve phone context. It's for people who want to bring information from their phone into their work with Codex.

Claw Admin is a web dashboard for people managing OpenClaw Gateway and Hermes Agent. It puts agent conversations, behavior controls and activity monitoring in one browser interface.

Tiledesk is an AI chatbot and live chat platform for teams handling customer support and internal information searches. Its visual builder lets teams design conversations and automated workflows without writing code.

Hypha is a TypeScript AI agent framework for developers building applications that need controlled tool use and recoverable work. It separates an agent's planning and tool choices from the execution layer that decides which actions may proceed.

Instrukt is a terminal app for developers who want to build and test AI agents on their own machine or server. It can index local code and documents, but its chat models run through OpenAI's API, which requires an API key and internet access. It doesn't provide local chat inference.

Project Orchestrator coordinates AI coding agents for developers working across tasks or related repositories. It gives agents a shared record of code, plans and decisions so each task can draw on earlier work.

avante.nvim adds AI coding assistance to Neovim for developers who want code questions and suggested edits inside their existing editor. It lets you choose a model backend and apply recommendations directly to source files.

AG2 is an open-source Python framework for developers building cooperating AI agents on their own machines or servers. Its Ollama integration lets agents use a local LLM; it also supports OpenAI, Anthropic and Gemini APIs, which send model requests to those providers. It runs on macOS, Windows and Linux under the Apache 2.0 license.

RubyLLM is an AI framework for Ruby and Rails developers building chat and agent features into their applications. Its shared API lets you switch between local and hosted models without writing a separate integration for each provider.

Google ADK is an AI agent framework for developers building applications that carry out multi-step tasks. Agents can run on your own infrastructure and use locally running models through adapters, or connect to hosted providers such as Gemini.

AIPOCH Open-Science is a desktop AI research workbench for scientists who want to keep investigations, analysis and supporting evidence in one project. Its agents work with research files and executable tools to produce outputs you can inspect alongside the records behind them.