lobehub/lobehub
LobeHub is a platform that enables multi-agent collaboration and human-agent co-evolution by treating AI agents as units of work, providing tools to build, manage, and collaborate with AI agent teams seamlessly.
Awesome MCP › Agent Orchestration Platforms
The project "awesome-slash" is a comprehensive automation framework designed to streamline and automate the entire software development workflow beyond just code writing. It integrates with AI models like Claude Code, OpenCode, and Codex CLI to manage tasks such as branch management, code review, artifact cleanup, continuous integration (CI), comment addressing, and deployment. The system includes 9 plugins, 39 agents, and 23 specialized skills, all working together to provide end-to-end automation from task discovery to merged pull requests. The core philosophy of the project is to let code handle coding tasks while AI handles planning, judgment, and workflow orchestration. It uses a combination of deterministic detection methods (regex, AST analysis, static analysis) and large language model (LLM) calls for synthesis and review, optimizing token usage and providing certainty-graded findings to prioritize issues. This approach was validated through testing on over 1,000 repositories. Key commands include /next-task for automating the entire task-to-production pipeline, /ship for managing branch commits to merged PRs, /deslop for artifact detection and cleanup, /perf for performance investigation, /drift-detect for plan vs code analysis, /audit-project for multi-agent code review, /enhance for analyzing prompts and plugins, /repo-map for AST symbol mapping, and /sync-docs for documentation synchronization. The project offers a rich set of skills categorized into performance, enhancement, workflow, and analysis, enabling agents to perform specialized functions. The /next-task command exemplifies the system's capabilities by orchestrating multiple agents through phases like task discovery, planning, implementation, review, validation, documentation update, and shipping. Overall, "awesome-slash" is a production-ready, AI-driven automation suite that enhances developer productivity by automating complex workflows and ensuring high-quality code delivery across multiple platforms and CI/CD environments.
https://github.com/avifenesh/awesome-slash
LobeHub is a platform that enables multi-agent collaboration and human-agent co-evolution by treating AI agents as units of work, providing tools to build, manage, and collaborate with AI agent teams seamlessly.
OpenHuman is a local-first personal AI assistant with persistent Markdown memory, multi-agent workflow orchestration, and research tools, connecting to 100+ OAuth integrations and thousands of MCP servers.
GPT Researcher is an autonomous AI agent that conducts deep local and web research on any topic, generating detailed, unbiased reports with citations and supporting integration with the Model Context Protocol (MCP) for enhanced data sourcing.
Haystack is an open-source AI orchestration framework for building production-ready LLM applications in Python, enabling modular pipelines and agent workflows with explicit control over retrieval, ...
Activepieces is an open-source AI automation platform providing an extensible MCP toolkit and over 280 MCP servers for AI agents, designed for both technical and non-technical users.
Swarm is an educational framework by OpenAI for lightweight, scalable multi-agent orchestration using agents and handoffs, designed to explore and teach multi-agent coordination techniques.
Superset is a desktop application designed to orchestrate and manage multiple CLI-based AI coding agents in parallel, using isolated Git worktrees for efficient, context-separated development.
VoltAgent is an open-source TypeScript framework for building and orchestrating autonomous AI agents with support for the Model Context Protocol (MCP) to enable standardized tool interactions and scalable multi-agent systems.