Tools tagged with "Code execution"

Tandem Browser is a desktop browser for people who want AI agents to carry out web tasks alongside them. You and the agent work in the same logged-in session, so you can watch its actions and step in when needed.

Inspect AI is a Python framework for researchers and developers evaluating language models and AI agents. It measures coding, reasoning, knowledge, behavior and multimodal understanding, including tasks where agents must take actions to succeed.

BrainSoup is a desktop AI agent app for people who want to automate tasks with assistants that have distinct roles and access to their own documents. You direct the agents through conversation and can have them work together on a shared task.

MetaGPT is a Python AI agent framework for developers who want to generate software projects using local models through Ollama or remote model APIs. The framework runs on your machine and writes a project repository locally. Its example configuration uses OpenAI, which sends model requests to that provider and requires API credentials.

NullClaw runs AI agents on your own hardware or server for coding work and automated background tasks. It's aimed at developers who want an assistant that can carry out multi-step jobs with controls over its access and actions.

Super Agent Party is an AI companion platform for people who want a desktop character that can also carry out tasks. It combines character conversations with agents that operate applications and interact through messaging or live streams.

OpenSandbox gives developers isolated environments for AI agents that need to execute code or interact with browsers and developer tools. It runs on your own infrastructure, locally with Docker or on a Kubernetes cluster.

CubeSandbox is a self-hosted sandbox service for teams that need AI agents to execute code on their own infrastructure. Each sandbox has its own operating system kernel inside a hardware-isolated MicroVM.

AgentScope is a Python framework for developers building AI agent applications on their own servers. It includes an SDK, a FastAPI backend and a web UI for applications with multiple users and separate sessions.

BeeAI Framework is for developers building AI agents and systems where several agents work together. It lets developers enforce rules on agent behavior while retaining the model's ability to reason.

AgentENV runs isolated environments for AI agents across your own servers. It's for teams building parallel agent workflows or reinforcement learning systems that need many separate sandboxes.

Deep Agents is an AI agent framework for developers building assistants that carry out multi-step work. It provides planning and task execution defaults that you can customize without forking the project.

II Agent is an AI agent for developers and teams who want an assistant to carry out research, build applications and handle documents. It can act through a browser, shell and files to complete tasks that need several steps.

RedAmon is an AI penetration testing framework for security teams testing systems they're authorized to assess. It connects attack-surface discovery, exploit testing and code fixes in one self-hosted workspace.

MartinLoop runs around coding agents to keep software jobs within agreed boundaries and check their results. It's for developers and engineering teams who want to delegate longer tasks while retaining limits, recovery information and a record of what happened.

Tide Commander is a self-hosted workspace for developers coordinating several AI coding agents across projects. It brings agent conversations and project tools into a browser interface so you can assign work and inspect the results together.

Prime Agent is a local terminal coding and research agent for work that continues across sessions. It runs commands and edits files in your project directory, while a persistent Python environment keeps working state available. Its hosted subscription and API-key routes send model requests to the selected provider; local execution doesn't imply offline inference.

Pi Extensible Workflows is an extension for developers who want repeatable processes involving several AI agents. It coordinates resumable workflows inside the Pi host environment and lets you inspect work while it runs.

Dagu turns existing scripts and runbooks into scheduled workflows for operations, data pipelines, and AI automation. You define dependencies and actions in YAML, then inspect runs and retry failures from its built-in Web UI.

OWL is a Python framework built on CAMEL-AI for developers who want multiple AI agents to work together on tasks. It combines research, file analysis, and actions in a browser or terminal within one task workflow.

LocoAgent is an AI agent for automating social media work through logged-in Chrome sessions. It builds on a fork of the Claude Code CLI and runs on your computer, while social activity requires an internet connection and accounts on the relevant platforms.

Playwright MCP gives AI agents browser control for testing and tasks that involve interacting with web pages. It reads structured accessibility snapshots, so agents can identify page elements without a vision model.

Moli is a headless browser for developers building AI agents, web scrapers and retrieval pipelines on their own machines or servers. It reads page content and executes JavaScript without continuously rendering a visual page.

OrcaReplay is a local AI agent debugger for developers investigating failed coding runs or testing how another model handles the same task. It captures what happened beyond the chat transcript, including failed commands and changed files.

Qwen-Agent is a Python framework for developers building assistants that use Qwen models to read files and carry out tasks with tools. It provides ready-made agent components and example applications for custom assistants and browser assistance.

Superior Trade Trading Terminal is for traders who want to turn a chart idea into an automated trade on Hyperliquid. You can sketch a price path or describe a strategy, then review the agent's proposed setup before deployment.

ClearML is a self-hostable MLOps platform for researchers and engineering teams managing model development and production. It connects experiment records with datasets, training jobs and model deployment so teams can trace results back to the work that produced them.

VibeHQ Hub coordinates coding agents for developers who want several agents to work on the same project without conflicting interfaces or unfinished handoffs. It adds shared coordination to Claude Code, Codex and Gemini CLI while preserving each agent's native capabilities.

Newelle is a Linux desktop AI assistant for people who want to chat with local models and use AI to work with documents and files. It also supports external model providers.

FinRobot is an Apache 2.0 open-source equity research system for analysts and quantitative researchers. Its desktop app runs financial calculations locally and uses an LLM to interpret results and write reports. Built-in OpenAI and Anthropic connections send model requests to those providers; custom OpenAI-compatible connections can use a local vLLM backend. Research also needs external market data.

mistral.rs is an inference engine for developers who want to run AI models on their own computer or server. It supports browser chat and inference embedded directly in Python or Rust applications.

npcpy is a Python library for developers and researchers building AI agents and applications with language models. It supports local LLM backends as well as cloud providers, so projects can choose where model requests run.

HanaAgent is an open-source desktop AI agent for everyday computer work and coding, with user data stored on your machine. It runs on macOS, including Apple Silicon and Intel, and Linux. It supports Ollama local models as well as OpenAI-compatible, Anthropic-style and OAuth provider connections. Local inference uses Ollama; requests to a cloud provider go to that service.

LLM Sandbox is a Python library for developers whose AI agents or applications need to execute generated code. It puts execution in containers on infrastructure you control, with support for local deployments and Kubernetes clusters.