Showing 935 open source projects for "agent based"

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  • 1
    OpenPlanter

    OpenPlanter

    Language-model investigation agent with a terminal UI

    OpenPlanter is an open-source Python project focused on building an intelligent automated planting or gardening system powered by software control and data processing. The repository is designed to help developers and hobbyists create programmable plant management workflows that can monitor, schedule, and optimize growing conditions. It emphasizes automation and extensibility, allowing integration with sensors, environmental data, and control logic for smart cultivation setups. The system is...
    Downloads: 0 This Week
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  • 2
    Claude Code PM

    Claude Code PM

    Project management system for Claude Code using GitHub Issues

    Claude Code PM is an open-source project management system designed to structure AI-assisted software development workflows using Claude Code’s command interface combined with native GitHub issues and Git worktrees. Instead of relying on separate project management tools, CCPM uses GitHub issues as the single source of truth, helping teams turn product requirements documents into trackable tasks and epics with full traceability throughout the development lifecycle. It supports parallel...
    Downloads: 0 This Week
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  • 3
    deep-q-learning

    deep-q-learning

    Minimal Deep Q Learning (DQN & DDQN) implementations in Keras

    The deep-q-learning repository authored by keon provides a Python-based implementation of the Deep Q-Learning algorithm — a cornerstone method in reinforcement learning. It implements the core logic needed to train an agent using Q-learning with neural networks (i.e. approximating Q-values via deep nets), setting up environment interaction loops, experience replay, network updates, and policy behavior.
    Downloads: 0 This Week
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  • 4
    agentmemory

    agentmemory

    #1 Persistent memory for AI coding agents

    agentmemory is a persistent memory server for AI coding agents that captures project context, past decisions, bugs, preferences, and implementation details so users do not have to re-explain the same information in every session. It works across tools such as Claude Code, Cursor, Gemini CLI, Codex CLI, OpenCode, Cline, and any client that supports MCP or REST APIs. The system automatically records what agents do, compresses that activity into searchable memory, and injects relevant context...
    Downloads: 1 This Week
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  • 5
    DreamerV3

    DreamerV3

    Mastering Diverse Domains through World Models

    DreamerV3 is an open-source implementation of a reinforcement learning algorithm that uses world models to train intelligent agents capable of learning complex behaviors across many environments. The system works by building an internal model of the environment and then using that model to simulate possible future outcomes of actions, allowing the agent to learn from imagined experiences rather than only from real interactions. This approach enables the algorithm to efficiently learn...
    Downloads: 1 This Week
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  • 6
    LangChain Rust

    LangChain Rust

    LangChain for Rust, the easiest way to write LLM-based programs

    LangChain Rust is an open-source Rust implementation inspired by the LangChain ecosystem for building applications powered by large language models. The library aims to provide Rust developers with a structured framework for orchestrating prompts, chains, agents, and external tools within LLM-driven workflows. By adapting LangChain concepts to the Rust programming language, the project emphasizes performance, safety, and efficient memory management. Developers can use the framework to build...
    Downloads: 1 This Week
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  • 7
    Paddler

    Paddler

    Open-source LLM load balancer and serving platform for hosting LLMs

    Paddler is an open-source LLM infrastructure platform designed to deploy, manage, and scale large language models on private infrastructure. The system acts as a specialized load balancer and serving layer for language models, enabling organizations to run inference workloads without relying on external API providers. It supports running models locally through engines such as llama.cpp while distributing requests across multiple compute nodes to improve performance and reliability. The...
    Downloads: 1 This Week
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  • 8
    GenAI Processors

    GenAI Processors

    GenAI Processors is a lightweight Python library

    ...Its central abstraction is the Processor, a unit of work that consumes an asynchronous stream of parts (text, images, audio, JSON) and produces another stream, making it natural to chain operations and keep everything streaming end-to-end. Processors can be composed sequentially (to build multi-step flows) or in parallel (to fan-out work and merge results), which makes sophisticated agent behaviors easy to express with simple operators. The library offers built-in processors for classic turn-based Gemini calls as well as Live API streaming, so you can mix “batch” and real-time interactions in the same graph. It leans on Python’s asyncio to coordinate concurrency, handle network I/O, and juggle background compute threads without blocking.
    Downloads: 1 This Week
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  • 9
    Litmus

    Litmus

    Litmus helps SREs and developers practice chaos engineering

    ...A centralized chaos management tool called chaos-center helps construct, schedule, and visualize Litmus chaos workflows. Made up of a chaos agent and multiple operators that execute & monitor the experiment within a defined target Kubernetes environment.
    Downloads: 1 This Week
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  • 10
    second-brain-ai-assistant-course

    second-brain-ai-assistant-course

    Learn to build your Second Brain AI assistant with LLMs

    ...The concept of a “second brain” refers to a personal knowledge repository containing notes, research, and documents that can be queried and analyzed using AI. Through a series of modules, the project explains how to design data pipelines, build retrieval-augmented generation systems, and implement agent-based reasoning workflows. The course also introduces practical techniques such as dataset generation, model fine-tuning, and deployment strategies for AI applications. Learners build a full system capable of retrieving information from stored resources and generating responses based on that data.
    Downloads: 0 This Week
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  • 11
    Instatic

    Instatic

    The open-source alternative to Webflow, Framer and WordPress

    Instatic is a self-hosted visual content management system that combines editing, content, publishing, media, authentication, and forms in one Bun server. Its canvas supports responsive breakpoint editing, reusable components, templates, loops, design tokens, and structured content collections. An AI agent can build or modify editable page nodes using OpenAI, Claude, OpenRouter, or local Ollama models. Publishing generates semantic HTML and compact CSS, with static pages written to disk...
    Downloads: 0 This Week
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  • 12
    Microsoft Work IQ

    Microsoft Work IQ

    MCP Server and CLI for accessing Work IQ

    ...Because it accesses Microsoft 365 tenant data, administrator consent and appropriate permissions are required. It is useful for organizations and developers building work-intelligence workflows around Microsoft 365, Copilot, and agent-based productivity tools.
    Downloads: 0 This Week
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  • 13
    OpenHome Abilities

    OpenHome Abilities

    Open-source abilities for OpenHome agents

    OpenHome Abilities is an open-source repository of modular voice AI plugins created for OpenHome agents, giving developers a lightweight way to extend what an agent can do through spoken triggers. Each ability is intentionally simple in structure, centering on a single main.py file that contains the core Python logic, which lowers the barrier to building and sharing custom behaviors. The system is meant to support a wide range of voice-driven actions, from API calls and media playback to...
    Downloads: 0 This Week
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  • 14
    browserable

    browserable

    Open source and self-hostable browser automation library for AI agents

    Browserable is an open-source browser automation framework designed specifically for AI agents that need to interact with web interfaces in a human-like way. The project provides tools that allow automated agents to navigate websites, click buttons, fill out forms, and extract information from pages without manual scripting of each step. Built primarily in JavaScript, the framework offers both a developer-friendly SDK and a REST API that allow integration with AI applications and automation...
    Downloads: 0 This Week
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  • 15
    Playwriter

    Playwriter

    Chrome extension to let agents control your browser

    Playwriter is an open-source project that combines a Chrome extension with a CLI to allow autonomous agents to control a web browser directly using Playwright code in a stateful sandbox environment. The system enables browser automation by running Playwright commands through a persistent session managed by a background extension, allowing agents or scripts to navigate, interact with, and query browser contexts without losing state between commands. This makes it valuable for scenarios where...
    Downloads: 0 This Week
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  • 16
    Vibium

    Vibium

    Browser automation for AI agents and humans

    Vibium is an open-source browser automation infrastructure built to serve both AI agents and human developers by simplifying control and interaction with real browsers. It integrates a single lightweight binary that manages browser lifecycle, implements a WebDriver BiDi proxy, and exposes a Model Context Protocol (MCP) server so language models or automation clients can control browser behavior without complex setup. This design makes it ideal for AI agents that need to interact with the...
    Downloads: 0 This Week
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  • 17
    Claude Canvas

    Claude Canvas

    Give Claude Code an external monitor

    Claude Canvas is a terminal-focused UI toolkit that extends Claude Code by giving it a dedicated visual interface within the terminal, allowing interactive panes for apps like email, calendar, flight bookings, and other structured interfaces directly alongside the coding agent session. Rather than limiting interactions to text prompts and responses, Claude-Canvas uses tools like tmux to spawn multiple split panes so that you can see persistent interfaces for tasks that benefit from visual context, making your CL-based AI coding workspace feel more like a rich interactive environment. It acts as a proof-of-concept that bridges traditional command-line AI interactions with more dynamic terminal user interfaces, enabling developers to craft more immersive and contextually rich workflows without leaving their development terminal.
    Downloads: 0 This Week
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  • 18
    HASH

    HASH

    The best way to use and work with blocks

    ...HASH does this by combining various different powerful tools together into one simple interface. These range from data pipelines and a graph database, through to an all-in-one workspace, no-code tool builder, and agent-based simulation engine. These exist at varying stages of maturity, and while some are polished, not all are ready for real-world production use. You can read more about our big-picture vision at hash.dev
    Downloads: 0 This Week
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  • 19
    GRR

    GRR

    GRR Rapid Response, remote live forensics for incident response

    ...“Work” means running a specific action, downloading file, listing a directory, etc. GRR server infrastructure consists of several components (frontends, workers, UI servers, fleetspeak) and provides a web-based graphical user interface and an API endpoint that allows analysts to schedule actions on clients and view and process collected data.
    Downloads: 0 This Week
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  • 20
    NVIDIA Generative AI Examples

    NVIDIA Generative AI Examples

    Generative AI reference workflows

    ...The project is designed to help developers accelerate the development of AI applications by providing ready-to-run pipelines, notebooks, and tools that demonstrate how to integrate large language models into real-world systems. The repository includes examples covering topics such as retrieval-augmented generation pipelines, agent-based workflows, and multimodal AI applications that combine text, vision, and data processing. Many of the examples show how to deploy AI services using containerized environments, GPU acceleration, and microservices that can scale across modern infrastructure. Developers can explore sample chatbot applications, document question-answering systems, and knowledge-base pipelines that illustrate how generative AI can interact with external data sources.
    Downloads: 1 This Week
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  • 21
    Forge Code

    Forge Code

    AI enabled pair programmer for Claude, GPT, O Series, Grok, Deepseek

    Forge is a modern, open-source tool that brings AI-powered code assistance directly into your terminal workflow, effectively turning your shell into a “pair programmer”, without ever leaving your development environment. Written in Rust (with a command-line interface), Forge integrates with your existing shell (bash, zsh, fish, etc.) or IDE-agnostic workflows, allowing you to interact with your codebase, command-line tools, and version control as usual, but with the added support of large...
    Downloads: 4 This Week
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  • 22
    Infracost

    Infracost

    Cloud cost estimates for Terraform in pull requests

    ...Infracost can also estimate usage-based resources such as AWS S3 or Lambda! Infracost has many CI/CD integrations so you can easily post cost estimates in pull requests. This provides your team with a safety net as people can discuss costs as part of the workflow.
    Downloads: 1 This Week
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  • 23
    Devon

    Devon

    Open source AI pair programmer for coding, debugging, automation

    Devon is an open source AI-powered pair programming tool designed to assist developers with software engineering tasks through natural language interaction. It operates as an agent-based system that can explore codebases, edit files, and execute development workflows with minimal manual intervention. Devon uses a client-server architecture with a Python backend and multiple user interfaces, including a terminal interface and an Electron-based desktop application. Devon integrates with multiple large language models, allowing users to choose between different providers for performance, cost, and latency considerations. ...
    Downloads: 0 This Week
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  • 24
    MOSS-TTS Family

    MOSS-TTS Family

    MOSS‑TTS Family open‑source speech and sound generation model

    ...Its flagship model focuses on stable long speech generation, multilingual and code-switched synthesis, pronunciation control, and zero-shot voice cloning. The broader family also includes dialogue generation, prompt-based voice creation, streaming voice-agent support, and a unified audio tokenizer. It is especially useful for developers building dubbing, podcasts, audiobooks, voice assistants, character voices, and creative audio tools.
    Downloads: 0 This Week
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  • 25
    HelixDB

    HelixDB

    Graph-vector database for building unified AI backends fast

    ...HelixDB includes built-in capabilities for embeddings, vector search, keyword search, and graph traversal, which are particularly useful for retrieval-augmented generation and agent-based systems.
    Downloads: 0 This Week
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