Dynamiq
✨A declarative orchestration framework for agentic AI and LLM applications, supporting multi-agent collaboration, full-pipeline RAG, and DAG workflows.
A declarative orchestration framework for agentic AI and LLM applications, supporting multi-agent collaboration, full-pipeline RAG, and DAG workflows.
An official Docker AI Agent builder and runtime that enables multi-agent orchestration, model-agnostic scheduling, and OCI-standard distribution through declarative YAML/HCL configuration.
A universal data preprocessing layer for AI systems supporting 18 source types, multi-source conflict detection, AI enhancement, and one-click export to 20+ platforms.
A Java AI Agentic development suite for JDK 8+, providing unified LLM invocation, RAG, full-chain MCP, and Agent development capabilities.
Open-Source AgentOS for AI Agents — a framework and OS-level platform for building, orchestrating, and evolving multi-agent collaborative systems, formerly known as Microsoft AutoGen.
A Docker Compose-based CLI orchestrator for local LLM stacks — spin up pre-wired inference backends, frontend UIs, RAG, voice, image generation, and more with a single command
A multi-channel agentic AI assistant runtime for chat surfaces, built in Rust, with multi-step tool use, persistent tiered memory, scheduled tasks, a skills system, and MCP protocol support.
The agent engineering platform for building context-aware reasoning applications.
A fully self-hosted AI Agent built on n8n + PostgreSQL + Claude, featuring adaptive RAG memory, knowledge graph, MCP skills, expert sub-agents, and proactive task management, interacted via Telegram or Webhook API.
Java AI application development framework supporting LLM-tool/skill, RAG, MCP, Agent-ReAct, Team-Agent, compatible with Java 8-25, embeddable in SpringBoot, jFinal, Vert.x, Quarkus.
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