Build, deploy, and orchestrate AI agents. Sim is the central intelligence layer for your AI workforce.
A self-contained, lightweight workflow engine with a built-in Web UI. Define workflows in a simple, declarative YAML format. Execute them anywhere, compose complex pipelines, and distribute tasks. Zero dependencies: runs entirely on the file system and OS without an external database.
Blades is a Go-based multimodal AI Agent framework.
Browser Operator - The AI browser with built in Multi-Agent platform! Open source alternative to ChatGPT Atlas, Perplexity Comet, Dia and Microsoft CoPilot Edge Browser
(ACL-2025 main conference) SurveyForge: On the Outline Heuristics, Memory-Driven Generation, and Multi-dimensional Evaluation for Automated Survey Writing
Define task-specific AI sub-agents in Markdown for any MCP-compatible tool.
ArxivFlow - Periodic Track on arXiv Paper
(ACL-2025 main conference) Dolphin: Moving Towards Closed-loop Auto-research through Thinking, Practice, and Feedback
Build AI-powered engineering tools in simple YAML
This repository contains showcase projects developed by ii-agent.
Robota is an AI agent framework written in JavaScript/TypeScript.
Coding agent skills library for programming workflows | Claude Skills, Codex Skills | Forked from obra/superpower
The core broker behind DriftQ — an AI-native reliability layer for agent workflows.
Hive is a Multi Agent Orchestrator modelled after Agile Teams
Visual workflow editor for building node-based AI agent workflows with drag-and-drop interface, A2A integration, and real-time execution
Markdown-based documentation for all modules and components in the Summoner codebase
Transform ideas into production ready code through the use of specialised AI agents working in coordinated phases.
Bring Conductor, a spec-driven workflow for Gemini CLI, to any coding agent environment.
🤖 Enterprise multi-agent orchestration platform for autonomous content verification. Built with agentic AI workflows, MCP integration, AgentDB, and advanced deepfake detection. Features agent memory, learning, and collaboration.
Project uses Gemini LLM and Vision-Language Models (VLM) to automatically generate presentation slides from documents. It streamlines content summarization and design, enabling efficient slide creation by interpreting both text and visual elements in the source material. (SuZeAI mentor)