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
microsoft/autogen
AutoGen is a comprehensive programming framework developed by Microsoft for creating multi-agent AI applications that can operate autonomously or collaborate with humans. It supports the development of AI agents capable of performing complex tasks through coordinated interactions, making it suitable for a wide range of applications including web browsing, code execution, and file handling. The framework is designed with a layered and extensible architecture, allowing developers to work at different levels of abstraction from high-level APIs to low-level components. It includes a Core API for message passing and event-driven agents, an AgentChat API for rapid prototyping of multi-agent patterns, and an Extensions API that supports integration with various large language model clients like OpenAI and AzureOpenAI, as well as additional capabilities such as code execution. AutoGen also offers developer tools like AutoGen Studio, a no-code graphical user interface for building multi-agent workflows without programming, and AutoGen Bench, a benchmarking suite for evaluating agent performance. The framework supports Python 3.10 or later and provides examples such as creating assistant agents using OpenAI's GPT-4o model and building web browsing agent teams that interact with users and perform tasks collaboratively. The project fosters a vibrant community with resources including weekly office hours, a Discord server for real-time communication, GitHub discussions for Q&A, and a blog for tutorials and updates. AutoGen aims to empower developers to create sophisticated AI applications by providing a robust ecosystem of tools, APIs, and community support, making it a versatile choice for advancing multi-agent AI development.
https://github.com/microsoft/autogen
Also in Knowledge Graph Orchestration
siyuan-note/siyuan
SiYuan is a privacy-first, self-hosted, open-source personal knowledge management system with block-level referencing and Markdown WYSIWYG editing capabilities.
Hawksight-AI/semantica
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.
camel-ai/oasis
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/liveblocks
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/Paper2Poster
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.
kingjulio8238/Memary
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-ai/plexe
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.