Showing 160 open source projects for "python ai"

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  • 1
    OpenAI Python

    OpenAI Python

    The official Python library for the OpenAI API

    The OpenAI Python library provides convenient access to the OpenAI REST API from any Python 3.7+ application. The library includes type definitions for all request params and response fields, and offers both synchronous and asynchronous clients powered by httpx.
    Downloads: 7 This Week
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  • 2
    CAMEL AI

    CAMEL AI

    Finding the Scaling Law of Agents. A multi-agent framework

    The rapid advancement of conversational and chat-based language models has led to remarkable progress in complex task-solving. However, their success heavily relies on human input to guide the conversation, which can be challenging and time-consuming. This paper explores the potential of building scalable techniques to facilitate autonomous cooperation among communicative agents and provide insight into their "cognitive" processes. To address the challenges of achieving autonomous...
    Downloads: 5 This Week
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  • 3
    Flowly AI

    Flowly AI

    Flowly is 100x faster than OpenClaw

    Flowly is an open-source personal AI assistant that runs locally on your machine and connects to multiple communication platforms like Telegram, WhatsApp, Discord, and Slack. It acts as a centralized AI system that can perform tasks such as web browsing, file management, command execution, scheduling, and more—all while keeping your data private. Designed for flexibility, Flowly supports multiple AI providers and models through LiteLLM, allowing users to customize how their assistant...
    Downloads: 4 This Week
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  • 4
    OAGI Python SDK

    OAGI Python SDK

    Python SDK for the Computer Use model Lux, developed by OpenAGI

    OAGI Python SDK is a Python client library for the Lux computer-use model that turns Lux into a programmable automation layer for operating human-facing software via vision and actions. It exposes the OAGI API in an ergonomic way, letting you trigger Lux in three main modes: Tasker for precise scripted sequences, Actor for fast one-shot tasks, and Thinker for open-ended, multi-step objectives.
    Downloads: 4 This Week
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  • 5
    DeerFlow

    DeerFlow

    Deep Research framework, combining language models with tools

    DeerFlow is an open-source, community-driven “deep research” framework / multi-agent orchestration platform developed by ByteDance. It aims to combine the reasoning power of large language models (LLMs) with automated tool-use — such as web search, web crawling, Python execution, and data processing — to enable complex, end-to-end research workflows. Instead of a monolithic AI assistant, DeerFlow defines multiple specialized agents (e.g. “planner,” “searcher,” “coder,” “report generator”) that collaborate in a structured workflow, allowing tasks like literature reviews, data gathering, data analysis, code execution, and final report generation to be largely automated. ...
    Downloads: 393 This Week
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  • 6
    OpenJarvis

    OpenJarvis

    Personal AI, On Personal Devices

    OpenJarvis is an open-source framework designed to build personal AI agents that run primarily on local devices rather than relying on cloud infrastructure. Developed as part of the Intelligence Per Watt research initiative, it focuses on improving the efficiency and practicality of on-device AI systems. The framework provides shared primitives for building local-first agents, along with evaluation tools that measure performance using metrics such as energy consumption, latency, cost, and...
    Downloads: 209 This Week
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  • 7
    AI Agents Masterclass

    AI Agents Masterclass

    Follow along with my AI Agents Masterclass videos

    AI Agents Masterclass is an educational open-source repository designed to teach developers how to build, train, and deploy intelligent AI agents using modern tooling and workflow patterns. The project includes structured lessons, code examples, and practical exercises that cover foundational concepts like prompt engineering, chaining agents, tool usage, plan execution, evaluation, and safety considerations. It breaks down how autonomous agents interact with external systems, handle...
    Downloads: 0 This Week
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  • 8
    DSPy

    DSPy

    DSPy: The framework for programming—not prompting—language models

    Developed by the Stanford NLP Group, DSPy (Declarative Self-improving Python) is a framework that enables developers to program language models through compositional Python code rather than relying solely on prompt engineering. It facilitates the construction of modular AI systems and provides algorithms for optimizing prompts and weights, enhancing the quality and reliability of language model outputs.
    Downloads: 4 This Week
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  • 9
    Browser Use

    Browser Use

    Make websites accessible for AI agents

    Browser-Use is a framework that makes websites accessible for AI agents, enabling automated interactions and data extraction from web pages.
    Downloads: 10 This Week
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    Network Performance Monitoring | Statseeker

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    Using just a single server or virtual machine, Statseeker can be up and running within minutes, and discovering your entire network in less than an hour, without any significant effect on your bandwidth availability.
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  • 10
    Hermes Agent

    Hermes Agent

    The agent that grows with you

    Hermes Agent is a fully open-source autonomous AI agent designed to run persistently on your own machine or server, becoming more capable the longer it operates by learning from experience and building reusable procedural skills. Rather than functioning as a stateless chatbot, it maintains long-term memory across sessions and can generate searchable “Skill Documents” that capture how it solved complex tasks so it doesn’t start from scratch each time. The agent interfaces with messaging...
    Downloads: 161 This Week
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  • 11
    Dendrite

    Dendrite

    Tools to build web AI agents that can authenticate

    Dendrite Python SDK is a toolkit for building web AI agents that can authenticate, interact with, and extract data from any website, facilitating web automation tasks.
    Downloads: 3 This Week
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  • 12
    magentic

    magentic

    Seamlessly integrate LLMs as Python functions

    Easily integrate Large Language Models into your Python code. Simply use the @prompt and @chatprompt decorators to create functions that return structured output from the LLM. Mix LLM queries and function calling with regular Python code to create complex logic.
    Downloads: 1 This Week
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  • 13
    BambooAI

    BambooAI

    A Python library powered by Language Models (LLMs)

    BambooAI is a Python library powered by large language models (LLMs) for conversational data discovery and analysis, allowing users to interact with data through natural language.
    Downloads: 1 This Week
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  • 14
    Quark Agent

    Quark Agent

    Quark Agent - Your AI-powered Android APK Analyst

    With Quark Agent, you can perform analyses using only natural language. It creates Quark Script code following your ideas and adjusts the code promptly as you provide feedback.
    Downloads: 3 This Week
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  • 15
    AIHawk

    AIHawk

    AIHawk aims to easy job hunt process by automating job applications

    AIHawk is an AGPL‑licensed AI agent focused on automating job applications. It scrapes job listings from corporate sites (or LinkedIn in forks) and uses LLMs to generate tailored applications, streamlining the process across multiple platforms—dubbed “revolutionary” by mainstream tech outlets.
    Downloads: 6 This Week
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  • 16
    OpenManus

    OpenManus

    Open-source AI agent framework

    OpenManus is an open-source AI agent framework designed to autonomously execute complex, multi-step tasks by combining reasoning, planning, and tool use. It enables developers to build agents that can think, act, and iterate toward goals rather than simply responding to prompts. The platform emphasizes task decomposition, allowing agents to break down objectives into smaller steps and execute them sequentially or recursively. OpenManus supports integration with external tools, APIs, and...
    Downloads: 35 This Week
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  • 17
    AI Agent Deep Dive

    AI Agent Deep Dive

    AI Agent Source Code Deep Research Report

    AI Agent Deep Dive is a comprehensive educational repository designed to provide a deep and structured understanding of how modern AI agents work, focusing on architecture, workflows, and real-world implementation patterns. It breaks down complex concepts such as planning, tool usage, memory management, and multi-step reasoning into digestible explanations and practical examples. The project is organized as a learning resource rather than a standalone framework, making it particularly useful...
    Downloads: 1 This Week
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  • 18
    GPTme

    GPTme

    Your agent in your terminal, equipped with local tools

    GPTMe is a personal AI chatbot designed for self-reflection, journaling, and productivity, using GPT models to generate personalized insights and responses.
    Downloads: 2 This Week
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  • 19
    BlenderMCP

    BlenderMCP

    Blender Model Context Protocol Integration

    ...It includes features for object manipulation, material editing, and scene inspection, giving the AI deep control over the modeling environment. The project also supports integration with external asset sources such as Sketchfab and Poly Haven, expanding the range of available resources. Additionally, it allows execution of Python scripts within Blender through AI commands, enabling advanced automation and customization.
    Downloads: 2 This Week
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  • 20
    Parlant

    Parlant

    The behavior guidance framework for customer-facing LLM agents

    Parlant is a lightweight speech-to-text and text-to-speech framework designed for real-time AI-driven voice applications.
    Downloads: 4 This Week
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  • 21
    OpenHands

    OpenHands

    Open-source autonomous AI software engineer

    Welcome to OpenHands (formerly OpenDevin), an open-source autonomous AI software engineer who is capable of executing complex engineering tasks and collaborating actively with users on software development projects. Use AI to tackle the toil in your backlog, so you can focus on what matters: hard problems, creative challenges, and over-engineering your dotfiles We believe agentic technology is too important to be controlled by a few corporations. So we're building all our agents in the...
    Downloads: 7 This Week
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  • 22
    smolagents

    smolagents

    Agents write python code to call tools and orchestrate other agents

    This library is the simplest framework out there to build powerful agents. We provide our definition in this page, where you’ll also find tips for when to use them or not (spoilers: you’ll often be better off without agents). smolagents is a lightweight framework for building AI agents using large language models (LLMs). It simplifies the development of AI-driven applications by providing tools to create, train, and deploy language model-based agents.
    Downloads: 2 This Week
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  • 23
    AutoGPT

    AutoGPT

    Powerful tool that lets you create and run intelligent agents

    AutoGPT is an experimental open-source application showcasing the capabilities of the GPT-4 language model. This program, driven by GPT-4, chains together LLM "thoughts", to autonomously achieve whatever goal you set. As one of the first examples of GPT-4 running fully autonomously, AutoGPT pushes the boundaries of what is possible with AI.
    Downloads: 15 This Week
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  • 24
    Agentic Security

    Agentic Security

    Agentic LLM Vulnerability Scanner / AI red teaming kit

    The open-source Agentic LLM Vulnerability Scanner.
    Downloads: 2 This Week
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  • 25
    Atomic Agents

    Atomic Agents

    Building AI agents, atomically

    The Atomic Agents framework is designed around the concept of atomicity to be an extremely lightweight and modular framework for building Agentic AI pipelines and applications without sacrificing developer experience and maintainability. The framework provides a set of tools and agents that can be combined to create powerful applications. It is built on top of Instructor and leverages the power of Pydantic for data and schema validation and serialization. All logic and control flows are written in Python, enabling developers to apply familiar best practices and workflows from traditional software development without compromising flexibility or clarity.
    Downloads: 2 This Week
    Last Update:
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