Graphify-Labs/graphify
Graphify turns any codebase, including documentation and other files, into a queryable knowledge graph using local AST parsing, without relying on vector stores or embeddings.
Awesome AI Agents › Knowledge Graph Orchestration
Graphify turns any codebase, including documentation and other files, into a queryable knowledge graph using local AST parsing, without relying on vector stores or embeddings.
AutoGen is a Microsoft-developed framework for building multi-agent AI applications that operate autonomously or with human collaboration, featuring layered APIs, developer tools, and community support.
SiYuan is a privacy-first, self-hosted, open-source personal knowledge management system with block-level referencing and Markdown WYSIWYG editing capabilities.
Self-hostable Python platform that builds context and knowledge graphs from enterprise data with deterministic reasoning, ontology management and W3C PROV-O provenance for auditable agent decisions.
OASIS is an open-source, scalable social media simulation platform that uses large language models and rule-based agents to realistically simulate the behavior of up to one million users on platforms like Twitter and Reddit for studying complex social phenomena.
Liveblocks is a platform providing customizable pre-built features to easily add multiplayer, engaging, and AI-ready collaborative experiences to applications without disrupting development roadmaps.
Paper2Poster is an open-source multi-agent system that automates the generation of editable scientific posters from research papers in PDF format, featuring a comprehensive evaluation suite to ensure visual and textual quality.
Memary is an open-source memory layer that emulates human memory to enhance autonomous agents' reasoning and learning capabilities, supporting local LLMs and vision models with multi-agent and multi-graph database integration.
Plexe is a machine learning framework that enables users to build and train models using natural language prompts and an AI-powered multi-agent system.
A comprehensive curated repository of papers, projects, and resources focused on autonomous and collaborative agents powered by Large Language Models (LLMs) for complex task solving and human interaction simulation.
Neurite is an open-source fractal graph-of-thought platform that enables rhizomatic mind-mapping for AI agents, multimedia content, and notes, integrating fractal mathematics and multi-agent collaboration for an infinite digital garden of ideas.
Youtu-GraphRAG is an agentic graph retrieval-augmented generation framework that builds a schema-guided four-level knowledge tree and decomposes complex queries into parallel sub-queries.
Experts.js is a JavaScript library that simplifies creating and deploying OpenAI Assistants and linking them as Tools to build advanced Multi AI Agent Systems with expanded memory and attention to detail.
Voicetree is a desktop spatial workspace where markdown nodes and terminal coding agents live in one hypergraph, supporting recursive task decomposition and human-in-the-loop multi-agent orchestration.
muAgent is an innovative agent framework driven by a Knowledge Graph engine that enables complex multi-agent orchestration, reasoning, and automation through large language models and a user-friendly interface.
SObjectizer is a mature, cross-platform C++ framework that simplifies the development of concurrent and multithreaded applications by integrating Actor, Publish-Subscribe, and CSP models with a focus on stability and performance.
OpenAI Assistant Swarm Manager is a Node.js library that extends the OpenAI SDK to manage and delegate tasks to multiple specialized AI assistants through a unified interface.
Multi-GPT is an experimental open-source multi-agent system where multiple expert GPT-4 instances collaborate autonomously to perform complex tasks using shared memory and internet access.
Chat2Graph is an innovative Graph Native Agentic System that combines multi-agent architecture and advanced AI reasoning to enable sophisticated graph-based task planning, knowledge management, and system integration.
AutoAct is an automatic agent learning framework that enables efficient and autonomous question answering through self-planning and division-of-labor among specialized sub-agents without relying on large-scale annotated data or closed-source models.
VacAIgent is an AI-powered trip planning application that uses autonomous CrewAI agents and a Streamlit interface to create personalized vacation itineraries based on user preferences.
This project implements an automated failure attribution system for LLM-based multi-agent systems, identifying which agent and step cause task failures, supported by a benchmark dataset and various models for evaluation.