Llm Orchestration
Showing 9 of 9 projects
A standalone Python framework for orchestrating autonomous AI agents that collaborate to tackle complex tasks.
A cloud-native, high-performance API and AI Gateway for orchestrating microservices, LLM, and MCP traffic with extensible plugins.
An all-in-one AI framework for semantic search, LLM orchestration, and language model workflows built around an embeddings database.
A low-code multi-agent AI framework that automates complex tasks with planning, research, coding, and delivery to messaging platforms.
A Claude Code plugin that designs domain-specific AI agent teams, defines specialized agents, and generates their skills.
A TypeScript/JavaScript framework for building resilient, stateful language agents as directed graphs.
An open-source control plane for building and scaling AI agents as production-ready backend services with identity, observability, and governance.
A comprehensive guide to agentic AI systems, explaining workflows and autonomous agents with visual diagrams and practical patterns.
A Go library for building stateful, multi-agent applications with LLMs, featuring parallel execution, persistence, and human-in-the-loop workflows.
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