Tools tagged with "Code execution"

DB-GPT is a self-hosted AI data assistant for teams analyzing business data and developers building data applications. It turns plain-language requests into SQL queries and Python analysis, then produces charts, dashboards, or HTML reports. You can run it on macOS or Linux, with Docker deployment also supported.

BotSharp is a self-hosted framework for .NET developers building AI agents into business applications. Written in C#, it runs on Windows, Linux and macOS and is open source software under Apache 2.0. Its plugin design lets teams choose their model provider, storage and interface while keeping agent coordination in the same framework.

Plandex is an open source, terminal-based AI coding agent for developers working on changes that span many files. Its review sandbox holds generated edits apart from your project files so you can inspect the accumulated changes before applying them. You can run its server locally through Docker or host it on your own server. The code uses the MIT license.

Prompt flow is an MIT-licensed, open-source toolkit for developers who build LLM applications and need to test their behavior before deployment. Its development tools run locally, while an optional cloud version in Azure AI supports team collaboration. Feature development has ended.

gptme is a self-hosted AI agent that works directly in your terminal, with access to your files and installed tools. It's for developers who want a coding assistant in their own environment, and people who want an agent for data analysis or other knowledge work. The software is free under the MIT license and doesn't require a gptme account.

SkyPilot is an open-source system for AI teams that need to run training, inference and development workloads across their own clusters and cloud accounts. It brings Kubernetes, Slurm and cloud compute under one interface, so teams can move jobs between providers without rewriting their workload code.

Curator is a Python library for developers preparing LLM training datasets or extracting structured records from existing data. It supports local inference through Ollama and vLLM alongside cloud model APIs, so the same data pipeline can use models on your hardware or a hosted provider. It's open source under Apache 2.0.

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.

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.

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.

Chat2DB Community is a database client and AI SQL workspace for developers, database administrators and analysts. It runs on Windows, macOS and Linux, with Docker and browser access also available. Its AI assistant connects to a model you configure to generate, explain and optimize SQL. Where AI requests are processed depends on that model connection.

ClearML is an MLOps suite for recording experiments, managing datasets and running ML workloads. Its Apache 2.0 Python SDK connects to a ClearML Server, available as a hosted service or open-source software you deploy yourself. ClearML Agent handles job orchestration and reproducibility.

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.

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.

MetaGPT organizes AI agents into a software development team, with roles for product management, architecture, project management and engineering. It's a self-hosted Python framework for developers who want to generate software projects from plain-language requirements or build their own collaborative agents.

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.

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.

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.

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.

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.

Stable Diffusion web UI (AUTOMATIC1111) is a browser interface for generating and editing images with models running on your own hardware. It's for artists and anyone who wants control over prompts, models and image variations. The software is open source under AGPL-3.0.

Continue is an open-source coding agent available as a CLI, VS Code extension and JetBrains plugin. Continue was acquired by Cursor, and the project is no longer actively maintained. Its repository is read-only, and its software uses the Apache 2.0 license.

Alpaca is an open source AI chat client for people who want to run models on their own device. It uses Ollama to download and manage local models, then lets you chat without an internet connection. Conversations stay on your device in SQLite files, and local models have no direct internet access.

Qwen Code is an Apache 2.0 licensed AI coding agent for developers who want help working through a codebase, changing code and checking the result. It runs on macOS, Windows and Linux, with a terminal interface and a desktop app. It builds on Google Gemini CLI and has developed into an agent that can use Qwen models alongside other model providers.

Typebot is a visual chatbot builder you can host on your own server or use through its managed cloud service. It's for businesses building conversational forms and chatbots for websites, mobile apps, and WhatsApp, with developers able to extend flows through APIs and JavaScript. The project uses Fair Source licensing.

Skyvern uses vision models to carry out tasks in a browser, such as filling forms, collecting data, and working through logins. It's for teams automating websites whose layouts change, as well as developers who want AI actions alongside Playwright. Instead of depending on fixed page selectors, it identifies visible elements and decides how to interact with them.

aichat brings Ollama and cloud AI services into the same terminal interface for developers and people who work at the command line. It runs locally on macOS, Linux and Windows, with Android support through Termux. Model processing happens through the backend you choose: Ollama supports local models, while providers such as OpenAI, Claude and Gemini process requests in the cloud.

Aider is an Apache 2.0 open-source coding assistant for developers who work in a terminal and keep their projects in Git. It can help start a project or make changes to an existing codebase. You can use local LLMs or connect to cloud models from providers including Anthropic, DeepSeek and OpenAI.

Inspect AI is a Python framework for researchers and developers testing language models and AI agents. Developed by the UK AI Security Institute and Meridian Labs, it evaluates coding, reasoning, knowledge, behavior and multimodal understanding, including tasks where agents must take actions to succeed.

mistral.rs is an open source inference engine for running models on your own computer or self-hosted server. It's for developers building AI applications and people who want local chat, multimodal models and agent tools in the same runtime. The Rust project uses the MIT license.

PrivateGPT is a self-hosted API layer for developers building AI applications around local models. It adds document retrieval, database access and agent tools to an existing model server. Local workflows can work offline and keep data within your environment; web search and connections to online providers need internet access.

Roboflow Inference is a self-hosted computer vision server for teams building camera and image analysis systems. It runs on your own computer, server, or edge device and combines model predictions with workflows for tracking, counting, measuring, and responding to events. Roboflow also offers hosted servers and a Serverless Cloud API, where processing runs on its infrastructure.

Windmill turns ordinary scripts into APIs, background jobs and internal apps that teams can share through a browser. It's for developers building internal software, data pipelines or AI agents who want to keep their code and infrastructure under their own control. You can self-host it with Docker or Kubernetes, or use Windmill Cloud, where Windmill hosts the platform.

DSPy is a Python framework for developers building AI applications whose tasks need clear inputs, predictable output types, and measurable results. You define what a language model should produce, then compose those tasks into a larger program. It's open source under the MIT license.

Tiledesk is a self-hosted platform for building AI agents and connecting them to human support teams. It's aimed at businesses automating customer conversations, internal information searches and workflows through a visual builder. You can run it on your own server with Docker or Kubernetes, or use its hosted cloud service.