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AI reads books: Page-by-Page PDF Knowledge Extractor & Summarizer. script performs an intelligent page-by-page analysis of PDF books, methodically extracting knowledge points and generating progres…
SoTA production-ready AI retrieval system. Agentic Retrieval-Augmented Generation (RAG) with a RESTful API.
[EMNLP 2025] OmniThink: Expanding Knowledge Boundaries in Machine Writing through Thinking
🚀 MassGen is an open-source multi-agent scaling system that runs in your terminal, autonomously orchestrating frontier models and agents to collaborate, reason, and produce high-quality results. | …
No fortress, purely open ground. OpenManus is Coming.
Local Deep Research achieves ~95% on SimpleQA benchmark (tested with GPT-4.1-mini). Supports local and cloud LLMs (Ollama, Google, Anthropic, ...). Searches 10+ sources - arXiv, PubMed, web, and yo…
Kortix – build, manage and train AI Agents.
A deep research agent implementation using Google's Agent-to-Agent (A2A) framework with Model Context Protocol (MCP) tools
An AI-powered research assistant that performs iterative, deep research on any topic by combining search engines, web scraping, and large language models. The goal of this repo is to provide the si…
Hybrid Schema-Guided Reasoning (SGR) has agentic system design created by neuraldeep community
[ACL 2025 Findings] MegaAgent: A Large-Scale Autonomous LLM-based Multi-Agent System Without Predefined SOPs https://aclanthology.org/2025.findings-acl.259.pdf
The 500 AI Agents Projects is a curated collection of AI agent use cases across various industries. It showcases practical applications and provides links to open-source projects for implementation…
Persistent memory for LLMs and apps. Content-addressed storage with dedupe, compression, full-text and vector search.
A Python library for extracting structured information from unstructured text using LLMs with precise source grounding and interactive visualization.
Tongyi Deep Research, the Leading Open-source Deep Research Agent
Model-agnostic plug-n-play LangChain/LangGraph agents powered entirely by MCP tools over HTTP/SSE.
Official Code of Memento: Fine-tuning LLM Agents without Fine-tuning LLMs
AATMF | An Open Source - Adversarial AI Threat Modeling Framework