bytedance/deer-flow
DeerFlow is a community-driven deep research framework that integrates language models with web search, crawling, and Python execution tools to facilitate comprehensive AI-powered research workflows.
Awesome AI Agents › Reasoning Frameworks
Reasoning Frameworks
VectifyAI/PageIndex
PageIndex is a reasoning-based document indexing and retrieval system that uses a hierarchical tree structure to enable human-like, vectorless retrieval and multi-step reasoning over long professional documents.
guidance-ai/guidance
Guidance is a programming paradigm and library that enables efficient and fine-grained control over large language models to produce structured, high-quality outputs with reduced latency and cost.
friuns2/BlackFriday-GPTs-Prompts
A curated repository of free GPT prompts and jailbreaks across various domains, enabling users to utilize GPT models without a subscription to GPT Plus.
refly-ai/refly
Refly is an open-source AI-native creation engine that combines multi-threaded dialogues, multimodal inputs, knowledge base integration, and AI-powered tools to transform ideas into production-ready interactive content and web applications.
mongodb-developer/GenAI-Showcase
MongoDB's GenAI Showcase is a comprehensive repository offering examples and applications that integrate MongoDB with advanced Generative AI techniques like Retrieval-Augmented Generation and AI Agents to support AI development and innovation.
anysphere/priompt
Priompt is a JSX-based prompting library that uses a priority system to efficiently construct token-limited prompts for language models, inspired by React's component design.
HKUDS/Auto-Deep-Research
Auto-Deep-Research is an open-source, fully automated, and cost-effective personal AI assistant that supports multiple large language models and offers a one-click launch experience as an alternative to OpenAI's Deep Research.
NirDiamant/Controllable-RAG-Agent
Controllable-RAG-Agent is an advanced Retrieval-Augmented Generation solution featuring a deterministic graph-based autonomous agent designed for complex question answering with multi-step reasoning and hallucination prevention.
Technion-Kishony-lab/data-to-paper
Data-to-paper is an AI-driven automation framework that guides end-to-end scientific research from raw data to transparent, backward-traceable, and human-verifiable research papers, supporting both autonomous and human-guided workflows.
lafmdp/Awesome-Papers-Autonomous-Agent
A curated and actively maintained collection of recent academic papers on autonomous agents, focusing on reinforcement learning and large language model-based approaches.
AgentEra/Agently-Daily-News-Collector
Agently-Daily-News-Collector is an open-source AI-powered project that automates the collection, summarization, and compilation of daily news on user-specified topics into markdown and PDF files using the Agently framework.
SalesforceAIResearch/xLAM
xLAM is a family of Large Action Models by Salesforce AI Research designed to enhance AI agent systems through standardized multi-turn trajectory data and advanced function-calling capabilities.
DivergentAI/dreamGPT
dreamGPT is an AI-powered tool that leverages hallucinations from Large Language Models to drive divergent thinking and generate innovative ideas through an iterative dreaming process.
Tencent/CognitiveKernel-Pro
Tencent framework for deep research agents that pairs a multi-agent runtime with a fully open training recipe, publishing data, SFT and reinforcement learning pipelines and an 8B agent foundation model.
Intelligent-Internet/ii-researcher
II-Researcher is an open-source framework for building intelligent search and research agents that perform deep web searches, multi-step reasoning, and generate comprehensive answers with references.
oneil512/INSIGHT
INSIGHT is an autonomous AI system that automates medical research by managing tasks through AI agents, integrating biomedical APIs, and indexing results for comprehensive analysis and discovery.
PeterGriffinJin/Graph-CoT
Graph Chain-of-Thought (Graph-CoT) is a framework that enhances Large Language Models by enabling them to perform step-by-step reasoning on structured textual graphs, improving their grounding and accuracy in answering complex questions.
snap-stanford/POPPER
POPPER is an AI-driven framework for automated, rigorous hypothesis validation using agentic sequential falsifications inspired by Karl Popper's falsification principle, applicable across multiple scientific domains.
ystemsrx/Qwen2-Boundless
Qwen2-Boundless is a fine-tuned language model based on Qwen2-1.5B-Instruct, designed to handle sensitive and controversial topics while supporting general question answering, primarily optimized for Chinese language tasks.
dlMARiA/Syzygy-of-thoughts
Syzygy-of-Thoughts is a project implementing a novel reasoning framework that enhances large language model performance on complex tasks by integrating algebraic methods into the Chain of Thought approach.