Autonomous AI agents that perform tasks independently
llm-agents-php
This sample application demonstrates the practical implementation and usage patterns of the LLM Agents library.
oztrkoguz
It automatically describes images in PDF files and generates questions from these descriptions. With its advanced RAG structure, it directs these questions directly to PDF text content, providing comprehensive information extraction and analysis.
...moreaws-samples
This repository contains sample code demonstrating how to implement a verified semantic cache using Amazon Bedrock Knowledge Bases to prevent hallucinations in Large Language Model (LLM) responses while improving latency and reducing costs.
...moreAISmithLab
HumanStudy-Bench: Towards AI Agent Design for Participant Simulation
TianhongDai
A modular, LLM-agnostic fullstack agent framework.
arham-kk
Implementation of Anthropic agentic workflow's using Google Gemini 2.0 Flash Experimental
connerohnesorge
Fast & less costly AI decision making and intelligent processing of multi-modal data.
D2I-Group
This is an official repository for "Exploring Multi-Modal Data with Tool-Augmented LLM Agents for Precise Causal Discovery".
...moreThe-Pocket
Pocket Flow: A minimalist LLM framework. Let Agents build Agents!
MarcusMQF
ByeDB.AI is an innovative AI-powered platform transforming natural language into data insights, all within a familiar chat interface. It enables non-technical users to effortlessly query databases, visualize results with charts, and export data, eliminating the need for SQL knowledge.
...moreshakil1819
This Agentic system is designed to handle complex data analysis tasks by breaking them down into smaller subtasks and delegating them to specialized agents. The system uses a multi-agent architecture to improve performance and scalability.
...moreriktar
A declarative meta-language for orchestrating multi-agent workflows. Readable by humans. Executable by LLMs. Portable across models.
...moreinterfaces-to
🐙 Interfaces (aka `into`) is the quickest way to make Large Language Models do things. Get started in 3 lines of code!
Ordinary0x
The 3rd Eye is a modular OSINT (Open Source Intelligence) framework built on an agent-based, graph-driven architecture. It automates public information discovery, identity correlation, and exposure analysis across multiple platforms, and generates structured intelligence reports. The system follows a LangGraph agent design.
...moreBeyond-Better
Beyond Better with code and docs
lirenhao1997
ToolRM: Towards Agentic Tool-Use Reward Modeling
e-lab
Powering Agent Chains by Constraining LLM Outputs
lwardzala
A Python-based logical reasoning system combining rule-based engines with Large Language Models (LLMs) for business automation. Supports deduction and hypothesis testing, partial fact completion, and automated fact retrieval via documents or chat. Features include explainable reasoning, workflow integration, and customizable knowledge bases.
...moreFudanDISC
An interactive and comprehensive legal agent benchmark
bhardwaj-vipul
Metadata filtering in RAG application
loquix-dev
A framework-agnostic UI kit of production-ready components for building AI and LLM chat interfaces.
wyattowalsh
Compilation of info on AI `deep research` tools
LittleLittleCloud
A multi-agent workflow that resolve tasks using powershell
khteh
Python LLM-RAG deep agent using LangChain, LangGraph and LangSmith built on Quart web microframework and served using Hypercorn ASGI and WSGI web server.
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