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ii agent

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Multi-Agent Platforms & Frameworks
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Basic Information

II-Agent is an open-source intelligent assistant and framework designed to build, run, and deploy agentic workflows that use large language models. It provides a CLI and a WebSocket server backing a React frontend to enable interactive agent sessions. The system integrates with multiple LLM providers including Anthropic Claude, Google Gemini, and OpenAI endpoints and can run models directly or via Google Cloud Vertex AI. It is intended to automate multi-step tasks across research, content creation, data analysis, software development, and full-stack web application building. Runtime modes include Local, Docker, and E2B. The project includes Docker Compose deployment scripts, start.sh convenience steps, NeonDB and Vercel integrations for serverless hosting, and execution tools for file operations, command execution, and browser automation. The README documents architecture and methods around system prompting, context management, planning and reflection, and iterative execution to support complex, tool-using agents.

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Stars
2837
App URL
https://github.com/Intelligent-Internet/ii-agent
Github Repository
https://github.com/Intelligent-Internet/ii-agent/blob/main/README.md

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App Details

Features
Key features include a command-line interface and a WebSocket server that powers a modern React-based frontend. Multi-model integration supports Anthropic Claude and Google Gemini with optional Vertex AI routing; OpenAI endpoints can be configured to use OpenRouter. The repository provides Docker Compose scripts and a start.sh launch flow with guidance for supplying Google credentials. Runtime modes supported are Local, Docker, and E2B. Built-in integrations include NeonDB and Vercel for deploying full-stack apps. Core agent capabilities cover system prompting, interaction history, token-aware context management, structured planning and reflection, file-system editing, secure command execution, advanced web and browser automation, streaming real-time events, and isolated agent instances per client. The README also notes experimental multimodal features (PDF, audio, image, video, slides) and includes GAIA benchmark evaluation traces and model recommendations.
Use Cases
II-Agent helps automate and accelerate complex, multi-step workflows by combining LLM reasoning with execution tooling and hosting integrations. It supports research tasks such as multistep web search, source triangulation, structured note-taking, and rapid summarization. For content creators it can draft articles, lesson plans, creative and technical writing, and build websites. For data work it aids cleaning, statistics, visualization, and report generation. For software development it assists code synthesis, refactoring, debugging, test writing, and scaffolding full-stack apps with live deployment options. Docker-based deployment and runtime flexibility simplify setup and scaling while NeonDB and Vercel integrations enable serverless hosting. Real-time WebSocket streaming and a React frontend offer interactive control. Planning, reflection, and context-management methods support reliable tool use. GAIA benchmark evaluation reported strong performance on tasks requiring complex reasoning and tool utilization, and a Discord community supports collaboration.

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