Search Results for "autogen"
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Showing 16 open source projects for "autogen"
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AutoGen
An Open-Source Programming Framework for Agentic AI
AutoGen provides multi-agent conversation framework as a high-level abstraction. With this framework, one can conveniently build LLM workflows. AutoGen offers a collection of working systems spanning a wide range of applications from various domains and complexities. AutoGen supports enhanced LLM inference APIs, which can be used to improve inference performance and reduce cost. -
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PraisonAI
PraisonAI application combines AutoGen and CrewAI or similar framework
PraisonAI application combines AutoGen and CrewAI or similar frameworks into a low-code solution for building and managing multi-agent LLM systems, focusing on simplicity, customization, and efficient human-agent collaboration. Chat with your ENTIRE Codebase. Praison AI, leveraging both AutoGen and CrewAI or any other agent framework, represents a low-code, centralized framework designed to simplify the creation and orchestration of multi-agent systems for various LLM applications, emphasizing ease of use, customization, and human-agent interaction. -
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AutoGroq
Revolutionizes the way users interact with Autogen
AutoGroq is a groundbreaking tool that revolutionizes the way users interact with Autogen™ and other AI assistants. By dynamically generating tailored teams of AI agents based on your project requirements, AutoGroq eliminates the need for manual configuration and allows you to tackle any question, problem, or project with ease and efficiency. AutoGroq was born out of the realization that the traditional approach to building AI agents was backwards. -
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Agent Lightning
The absolute trainer to light up AI agents
Agent Lightning is an open-source framework developed by Microsoft to train and optimize AI agents using techniques like reinforcement learning (RL), supervised fine-tuning, and automatic prompt optimization, with minimal or zero changes to existing agent code. It’s designed to be compatible with a wide range of agent architectures and frameworks — from LangChain and OpenAI Agent SDKs to AutoGen and custom Python agents — making it broadly applicable across different agent tooling ecosystems. Agent-Lightning introduces a lightweight training pipeline that observes agents’ execution traces, converts them into structured data, and feeds them into training algorithms, enabling users to improve agent behaviors systematically. ... -
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GenAI Agents
Implementations for various Generative AI Agent techniques
...It spans a spectrum from simple conversational bots and basic question-answering agents to complex multi-agent systems that coordinate on research, education, business workflows, and creative tasks. The implementations leverage modern frameworks such as LangChain, LangGraph, AutoGen, PydanticAI, CrewAI, and more, showing how each can be wired into realistic agent workflows. The repo is structured by categories like beginner agents, framework tutorials, educational agents, business agents, creative agents, analysis agents, news bots, shopping assistants, task management agents, QA bots, and advanced systems such as controllable RAG agents. ... -
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Portkey AI Gateway
A blazing fast AI Gateway with integrated guardrails
...It also offers features for governance: role-based access, compliance with standards (SOC2, HIPAA, GDPR), secure key management, and logging/analytics of usage, latency, errors, and cost. The system integrates with agent frameworks like LangChain, Autogen, and others, enabling the building of more complex AI applications. It’s lightweight and optimized for low latency with a small footprint. -
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Tranalyzer
Tranalyzer flow generator packet analyzer moved to: tranalyzer.com
The Anteater moves to a new site, available under tranalyzer.com. This tool generates extended netflow-like flow/packet statistics from large pcap files or ethernet interfaces. It is intended to serve as a tool for IT troubleshooting, encrypted traffic mining, AI preprocessing and forensic analysis. A packet based "tshark mode" for detailed header and content inspection is improved for troubleshooting and security purposes. Flow based and packet based content inspection and extraction,... -
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...If you do not have the possibility to create your own grids but your application or device manages this format by copy / paste or by importing text file you can take advantage of grids already automatically generated here. Good game! https://github.com/Musclorman/Sudoku-autogen-in-ADK-format
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builder
Easily build software for your Linux distro repo
This project is a wrapper script using generated profiles that include any desired patches and files (such as .desktop, icons, and configurations) to easily update, build, and package the software to be made available in your Linux distributions' online repository. So instead of worrying about how to compile for autoconf, autogen, bootstrap, cmake, or the traditional configure, make, make install, for each software title in your repo, builder will take care of all those details so you can focus on the more important parts of your project! Currently, builder can compile for AMD/Intel 32 and 64 bit along with ARM v6/7 (most notably for the Raspberry PI). ... -
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AutoGen is designed to generate text files containing repetitive text with varied substitutions. Its goal is to simplify the maintenance of programs that contain large amounts of repetitious text, especially when needed in parallel tables.
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tao-makefile-ui
Tool to compile programs
Tools, which runs Makefile, configure and autogen script. It parses Makefile and allows to select targets and save configuration for project. -
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Pinguino Autogen Documentation
Pinguino Data structures and Files doc
Html Autogen documentation for pinguino ide. It enumerates : - Functions - Data structures - Defines and source files. and provdes a simple search engine. Made with Open source doxygen Software. -
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FFmpeg.AutoGen
Auto Generated FFmpeg wrapper for C#/.NET and Mono.
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CRel is an object relational data store for C programs. Based on a structure data specification in XML or autogen, it generates code to store and access the data object. It supports indexing, constraints, memory management and serialization.
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A generic generation script, purpouse is the initial stage of a build procedure (autoconf etc.), instead of creating new shell script for each project, you can use this one, for more eas to use.
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