ClawTeam is a framework for coordinating multiple large language model agents to automate complex technical workflows. It operates as an agentic workflow automator and orchestrator that manages swarms of specialized agents using a leader-worker architecture to delegate and execute tasks. The system distinguishes itself by providing isolated workspaces for parallel development, assigning each agent a dedicated git worktree and branch to prevent merge conflicts. It further enables the integration of external command-line tools by wrapping them into a standardized input and directory execution m
Eino is an AI agent development kit and LLM application framework designed for building autonomous agents and orchestrating complex language model workflows. It serves as a multi-agent orchestration engine and workflow orchestrator, providing a graph-based execution model to route data between models, tools, and retrievers. The framework distinguishes itself through a robust set of multi-agent coordination patterns, including supervisor-led management, sequential flows, and autonomous reasoning loops like ReAct. It features advanced agent execution controls such as active turn preemption, che
jcode is a framework for developing autonomous AI coding agents that automate software development tasks. It functions as an agent orchestrator, tool runtime, and semantic memory engine, enabling the creation of agents that can modify code, run tests, and iterate on their own functionality. The project is distinguished by its use of recursive agent swarming, where a hierarchy of collaborating agents can spawn child agents to decompose complex tasks. It implements a semantic memory system that combines vector-based retrieval with graph-based relationship mapping to maintain context across sess
The BeeAI Framework is an LLM agent framework and multi-agent orchestration engine used to build autonomous agents that coordinate reasoning, tool execution, and complex workflows. It functions as a structured AI output controller and RAG integration library, providing a unified interface to manage multiple language model providers. The framework is distinguished by its implementation of the Model Context Protocol, allowing agents, tools, and models to be shared between different AI platforms and hosted as agentic tooling servers. It enables the design of collaborative agent teams through dec
Star-Office-UI is a visual workspace and dashboard designed to map the activity and work states of AI agents to characters and zones within a virtual office. It functions as a multi-agent status monitor that tracks external entities via join keys and a desktop overlay application that renders a persistent, transparent window on the computer desktop.
ringhyacinth/star-office-ui की मुख्य विशेषताएं हैं: Multi-Agent Coordination Systems, Visualization Dashboards, Agent Monitoring, Agent Session Linking, Generative Environment Synthesis, Image Generation Integrations, Agent Activity Workspaces, State Visualization।
ringhyacinth/star-office-ui के ओपन-सोर्स विकल्पों में शामिल हैं: hkuds/clawteam — ClawTeam is a framework for coordinating multiple large language model agents to automate complex technical workflows.… rohitg00/agentmemory — AgentMemory is a persistent knowledge store and memory server designed to provide AI coding agents with long-term… 1jehuang/jcode — jcode is a framework for developing autonomous AI coding agents that automate software development tasks. It functions… cloudwego/eino — Eino is an AI agent development kit and LLM application framework designed for building autonomous agents and… i-am-bee/beeai-framework — The BeeAI Framework is an LLM agent framework and multi-agent orchestration engine used to build autonomous agents… fetchai/innovation-lab-examples — This project provides a comprehensive framework for building, deploying, and orchestrating autonomous agents within a…