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Mng-dev-aiAI code execution and development IDE
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Summary
Agentrove provides a self-hosted, in-browser development environment that unifies access to multiple Large Language Model (LLM) providers, including Anthropic, OpenAI, and GitHub Copilot. It offers a VS Code-like experience with sandboxed execution, custom skills, and multi-provider routing, enabling a consistent workflow for developers and researchers.
How It Works
The architecture features a React/Vite frontend communicating with a FastAPI backend, which manages data persistence via PostgreSQL/Redis (web) or SQLite (desktop). Core LLM interactions are driven by the Claude Code CLI and claude-agent-sdk within isolated Docker or host sandboxes. For non-Anthropic providers, the anthropic-bridge component routes requests through an Anthropic-compatible interface, preserving Claude Code's native tool usage and orchestration capabilities while allowing seamless provider switching within a shared workspace context.
Quick Start & Requirements
.env.example to .env, set a SECRET_KEY (e.g., openssl rand -hex 32), and run docker compose -p agentrove-web -f docker-compose.yml up -d. Access via http://localhost:3000.Highlighted Details
anthropic-bridge while maintaining a shared workspace context.claude-agent-sdk and Claude Code CLI for native tool execution, session flow, and MCP orchestration within sandboxes.Maintenance & Community
Agentrove is under active development, with users advised to expect breaking changes between releases. A Discord server is available for community engagement.
Licensing & Compatibility
The project is licensed under the Apache 2.0 license, which permits commercial use and integration into closed-source projects.
Limitations & Caveats
The project is in active development, leading to potential breaking changes. Sandbox provider selection (Docker/Host) is locked per workspace upon creation. Desktop mode primarily highlights macOS Apple Silicon builds.
1 day ago
Inactive