Langroid
A Python framework for orchestrating LLM agents, tools, and retrieval workflows through explicit tasks.
EDDI Conversational AI Orchestration
Run configurable multi-agent workflows that connect conversations, models, tools, and business systems in a self-hosted service.
RAGLight
A lightweight, modular Python RAG framework with pluggable LLMs, embeddings, and vector stores, making document-grounded AI easy to assemble and deploy.
Dynamiq Agent Orchestration
Build Python workflows that coordinate LLMs, tools, agents, and RAG pipelines.
SurfSense Open-Web Research
Give agents structured live-web research through one REST API or MCP server, with cited outputs and a searchable knowledge base.
Generative AI with LangChain
Learn to build production-oriented LLM applications and multi-agent systems with Python, LangChain, and LangGraph.
BeeAI Framework
Build orchestrated, deployable multi-agent systems in Python or TypeScript.
Agentic RAG for Dummies
Build a modular, memory-aware, human-in-the-loop Agentic RAG with LangGraph in minutes.
Tribe AI
A self-hosted low-code workspace for building, coordinating, and chatting with multi-agent teams through a visual interface.
agentty
AI pair programming in your terminal: one static binary, sub-ms startup, any model, with local RAG that sends only the relevant code.
Oracle AI Developer Hub
Build RAG, agent, and persistent-memory applications with Oracle AI Database and OCI.
Pocket Flow
A minimal graph-based framework for composing LLM workflows, agents, and RAG applications.
Controllable Complex RAG
Plans, retrieves, and verifies answers to complex multi-step questions over your own documents.
qKnow Enterprise Knowledge Platform
Build enterprise knowledge hubs and business agents with knowledge graphs, RAG, and visual orchestration.
EgoAlpha Prompt In-Context Learning Guide
An open-source engineering guide to prompt-in-context learning, featuring latest papers, prompt examples, and a LangChain tutorial.
Decrypt Prompt
A curated map of prompt, LLM, RAG, and agent research.
Agentic RAG Survey Guide
A structured guide to agent-enhanced RAG patterns, architectures, applications, implementation references, and adoption risks.