Warp is an agentic development environment, born out of the terminal.
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FinceptTerminal is a modern finance application offering advanced market analytics, investment research, and economic data tools, designed for interactive exploration and data-driven decision-making in a user-friendly environment.
- bloomberg-terminal
- finance
- financial-markets
- investment
Secure environments for developers and their agents
The Self-hosted AI Starter Kit is an open-source template that quickly sets up a local AI environment. Curated by n8n, it provides essential tools for creating secure, self-hosted AI workflows.
- ai
- low-code
- self-hosted
- starter-kit
This repo hosts Prowler OSS (CLI and Local Server). Prowler is the world’s most widely used open-source cloud security platform that automates security and compliance across any cloud environment for Humans and AI Agents.
- security
- security-tools
- security-audit
- security-hardening
Open-source, secure environment with real-world tools for enterprise-grade agents.
Agentic Development Environment based on OpenCode AI agent
Lightweight (7MB) terminal-first AI-native development environment
Emdash is the Open-Source Agentic Development Environment (🧡 YC W26). Run multiple coding agents in parallel. Use any provider.
The open-source visual AI programming environment and TypeScript library
Koog is a JVM (Java and Kotlin) framework for building predictable, fault-tolerant and enterprise-ready AI agents across all platforms – from backend services to Android and iOS, JVM, and even in-browser environments. Koog is based on our AI products expertise and provides proven solutions for complex LLM and AI problems
- agentframework
- agentic-ai
- agents
- ai
The missing integration layer for AI agents. Let them call any OpenAPI / MCP / GraphQL / custom js functions in secure environment.
A Model Context Protocol (MCP) server that provides structured spec-driven development workflow tools for AI-assisted software development, featuring a real-time web dashboard and VSCode extension for monitoring and managing your project's progress directly in your development environment.
Development environments for coding agents. Enable multiple agents to work safely and independently with your preferred stack.
Mesa is an open-source Python library for agent-based modeling, ideal for simulating complex systems and exploring emergent behaviors.
- mesa
- agent-based-modeling
- agent-based-simulation
- simulation-framework
Enhanced MCP server for interactive user feedback and command execution in AI-assisted development, featuring dual interface support (Web UI and Desktop Application) with intelligent environment detection and cross-platform compatibility.
AgentENV (AENV) is a distributed platform for running agent environments at scale.
Native local development environment for Windows, macOS & Linux. A modern alternative to XAMPP, MAMP, Laragon and Laravel Herd, with runtimes, databases, web servers, local sites, HTTPS, AI coding tools and MCP.
(Crystal is now Nimbalyst) Run multiple Codex and Claude Code AI sessions in parallel git worktrees. Test, compare approaches & manage AI-assisted development workflows in one desktop app.
- ai
- ai-coding
- development-environment
- vibe-coding
Secure & isolated JS environments for nodejs
chroot, mount --bind, and binfmt_misc without privilege/setup for Linux
- chroot-environment
- userland-exec
- rootfs
- chroot
A runtime substrate that turns an agent's execution into a reversible, Git-like trace, so meta-agents can observe, fork, replay, and revert any run. Couples agent and environments in a copy-on-write fork ~5x faster than docker commit, with ~95% KV-cache reuse on replay. Framework built for meta-agents to supervise, optimize, and train other agents
- meta-agents
- meta-optimization
- runtime-supervision
- workflow-automation
The Cradle framework is a first attempt at General Computer Control (GCC). Cradle supports agents to ace any computer task by enabling strong reasoning abilities, self-improvment, and skill curation, in a standardized general environment with minimal requirements.
- ai-agent
- ai-agents-framework
- computer-control
- cradle
Give cloud AI agents a real development environment on your own machines.