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56568923/DeepResearch-Agent

LLM-based autonomous research agent with RAG, multi-agent workflow and long-context reasoning.

Python GitHub ↗
★ 0
stars
75
AI relevance
50
solo dev
0
tool sigs

SUMMARY AI summary by gpt-5-mini

DeepResearch Agent is an autonomous multi-agent system designed to handle long-chain research tasks that standard chatbots struggle with (task decomposition, sustained reasoning, long-term context). Intended users: researchers, analysts, engineers, and product teams needing literature reviews, competitive or industry trend analysis, and technical roadmaps. Key features: - Planner agent: decomposes goals into actionable subtasks. - Search agent: parallel retrieval from papers, web, datasets with context-aware queries and source credibility scoring. - Memory agent: long-term context via vector DB and knowledge graph plus context summarization. - Writer agent: generates structured, citable Markdown reports (summary, methodology, citations, visuals). - Technical stack: LangChain/LangGraph, FastAPI, ChromaDB, custom RAG pipeline, multi-agent coordination with error recovery.

DETECTED Detected AI stack

AI-related keywords found in this repo's description, topics, or README summary — grouped by category. Each badge links to the corresponding ranking detail page.

🧩 AI frameworks (2)
LangChain LangGraph
🗄️ Vector DBs (1)
Chroma
🌐 Web frameworks (1)
FastAPI

Language breakdown (by bytes)

Python
97.7%
Dockerfile
2.3%

Owner

Account
56568923
Type
User
Followers
0

Dates

Created on GitHub 2026-05-10
Last push 2026-05-10
First seen here 2026-05-10
Last fetched 2026-05-11 16:15

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