Jiawe1Zhang/Dendrite
Context-first autonomous multi-agent system
This system helps professionals like researchers, writers, or strategists turn their unstructured documents (PDFs, markdown) into an interactive knowledge graph. You upload your files, and Dendrite extracts key information, building a visual map of concepts and relationships. Then, you can ask questions, and specialized AI agents will research, write, or code to get answers, presenting the results and their process on a live canvas.
Use this if you need to rapidly extract and connect information from a large set of documents and have AI agents autonomously perform research or writing tasks based on that knowledge.
Not ideal if your primary need is simple document search or chat-based Q&A without needing to visualize knowledge connections or orchestrate multi-step AI agent workflows.
Stars
8
Forks
1
Language
Python
License
—
Category
Last pushed
Mar 18, 2026
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/rag/Jiawe1Zhang/Dendrite"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
xerrors/Yuxi
结合知识库管理的 Agent Harness 平台。 An agent harness that integrates a LightRAG knowledge base and...
pipeshub-ai/pipeshub-ai
PipesHub is a fully extensible and explainable workplace AI platform for enterprise search and...
xerrors/Yuxi-Know
结合LightRAG 知识库的知识图谱智能体平台。 An agent platform that integrates a LightRAG knowledge base and...
daxa-ai/pebblo
Pebblo enables developers to safely load data and promote their Gen AI app to deployment
gca-americas/way-back-home
🚀 Way Back Home