Search Results for "agents"
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Showing 321 open source projects for "agents"
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Craft Agents
Work effectively with agents
Craft Agents project from lukilabs is an open-source desktop application and workflow environment built around agent interaction and document-centric tasks, designed to help users work with AI assistants more effectively across multiple information sources. This repository extends the idea of “agents” by providing a user-friendly interface that integrates APIs, multitasking workflows, and session sharing so that you can easily orchestrate multiple AI interactions and retrieve context from your sources. ... -
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User Agents
A JavaScript library for generating random user agents with data
...The dataset is updated automatically on a daily basis, ensuring that generated user agents remain current and relevant over time. In addition to user agent strings, the library can produce detailed browser fingerprint data such as screen size, platform, connection type, and device category. It also includes flexible filtering capabilities that allow developers to generate user agents matching specific criteria such as device type, operating system, or browser version. -
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Agents.jl
Agent-based modeling framework in Julia
Agents.jl is a pure Julia framework for agent-based modeling (ABM): a computational simulation methodology where autonomous agents react to their environment (including other agents) given a predefined set of rules. The simplicity of Agents.jl is due to the intuitive space-agnostic modeling approach we have implemented: agent actions are specified using generically named functions (such as "move agent" or "find nearby agents") that do not depend on the actual space the agents exist in, nor on the properties of the agents themselves. ... -
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OpenAI Agents JS
A lightweight, powerful framework for multi-agent workflows
...At its core, it introduces primitives like Agents, Tools, Guardrails, and Handoffs, letting you define structured multi-agent systems in a modular way. The repo includes examples showing how to build agents that call local functions, chain between agents, validate input/output, stream responses, and interact in real time (e.g. voice agents via WebRTC). It also has tracing and debugging support so you can introspect how agents executed their workflows. ... -
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OpenAI Codex CLI
Lightweight coding agent that runs in your terminal
OpenAI Codex CLI is a lightweight, open-source coding assistant that runs directly in your terminal, designed to bring ChatGPT-level reasoning to your code workflows. It allows developers to interactively query, edit, and generate code within their repositories, all while maintaining version control. The CLI can scaffold new files, run code in sandboxed environments, install dependencies, and commit changes automatically, streamlining chat-driven development. It supports various approval... -
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OpenShell
OpenShell is the safe, private runtime for autonomous AI agents.
...OpenShell also features a privacy-aware routing system that prevents sensitive information from leaving the sandbox environment. By combining container isolation, policy enforcement, and agent orchestration, OpenShell offers a secure infrastructure for developing and operating AI agents. -
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agent-browser
Browser automation CLI for AI agents
agent-browser is a toolkit that embeds AI agent capabilities directly into the web browser, enabling agents to interact with web content, scripts, and user actions while maintaining security boundaries that respect user privacy and browser constraints. It effectively provides a sandbox where AI agents can read, scroll, click, and interpret pages in context, allowing them to automate workflows, answer questions about page content, or generate structured summaries directly from the user’s current tab. ... -
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beautiful-html-templates
A library of HTML slide templates
beautiful-html-templates is a reusable library of HTML slide templates made for coding agents that need to produce polished presentation decks automatically. It gives agents a structured way to choose a visual direction, clone the right template, and adapt it to a user’s content brief. The project includes an index-driven workflow, with guidance files that explain how an agent should inspect available templates and match them to the requested style. -
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Vercel Zero
The programming language for agents
Zero is an experimental programming language from Vercel Labs designed with AI agents as first-class users. The project explores what a language, tooling system, and standard library might look like if agents need to read, debug, repair, and ship code reliably. It focuses on a small and regular language surface, structured diagnostics, predictable tooling, and machine-readable outputs. Zero is still pre-1 and intentionally unstable, so its syntax and APIs are meant for exploration rather than production use. ... -
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ByteRover CLI
The portable memory layer for autonomous coding agents
...ByteRover is useful when agents need persistent context instead of starting from scratch every time they enter a project. Its main value is making agent memory more structured, shareable, and practical across teams, tools, and long-running development workflows. -
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GPT All Star
AI-powered code generation tool for scratch development of web apps
AI-powered code generation tool for scratch development of web applications with a team collaboration of autonomous AI agents. This is a research project, and its primary value is to explore the possibility of autonomous AI agents. -
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InkOS
Autonomous novel writing CLI AI Agent
...The platform likely incorporates feedback loops where agents critique and revise each other’s work, simulating editorial processes found in traditional publishing. It emphasizes scalability, enabling users to generate large volumes of narrative content with minimal manual intervention. -
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GSD Core
Meta-prompting, context engineering, spec-driven development system
...It is designed to keep agent-driven development organized by turning vague goals into structured research, plans, tasks, implementation phases, verification steps, and handoffs. The project focuses on cleaner context, verified work, and more honest project history when working with coding agents. It supports installation across several AI coding runtimes and offers profiles for different levels of workflow surface area. The system is especially useful for developers who use AI agents heavily and need more discipline around planning, execution, and review. It acts less like a single app and more like an execution layer for shipping software with agents. -
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zerolang
The programming language for agents
zerolang, also called Zero, is an experimental agent-first programming language from Vercel Labs. It explores what programming might look like when AI agents are treated as primary users from the start. The language aims to be small, regular, and easy for agents to learn from examples, diagnostics, and documentation. Its tooling is designed to expose structured facts for checking, running, formatting, debugging, repair, graph inspection, and size reporting. The project is pre-1 and intentionally unstable, so it is intended for isolated experimentation rather than production systems. zerolang is most useful as a research platform for developers interested in AI-native programming languages, agent-readable tooling, and repair-oriented development workflows. -
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agentOS
A portable open-source operating system for agents. ~6 ms coldstarts
agentOS is a portable, open-source runtime environment designed specifically for executing AI agents efficiently, acting as a lightweight operating system tailored for agent-based workloads. It is built using WebAssembly and V8 isolates to provide secure, sandboxed execution without the overhead of traditional containers or virtual machines. The system is optimized for extremely fast startup times, with near-instant cold starts that allow agents to be created and executed in milliseconds. ... -
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amazon-connect-wisdomjs
Gives you the power to build your own Wisdom widget
...With Wisdom, agents can search across connected repositories to find answers and quickly resolve customer issues. In addition, Wisdom uses real-time speech analytics and natural language processing (NLP) from Contact Lens for Amazon Connect to detect customer issues during calls, and then provide agents with recommendations and answers. Wisdom provides faster issue resolution and improved customer satisfaction. -
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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. -
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RMUX
Universal Rust multiplexer with a typed SDK
RMUX is a Rust-based terminal multiplexer designed for humans, agents, and headless command-line workflows. It provides tmux-style detachable terminal sessions while adding a typed SDK and structured snapshots for programmatic control. Users can run terminal or TUI applications, detach from them, reconnect later, and inspect their state from code. The project is built to work natively across Linux, macOS, and Windows, including support for Windows Named Pipes. rmux is especially useful for AI agents that need to drive command-line tools reliably without losing session context. ... -
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LLM Tornado
The .NET library to build AI agents with 30+ built-in connectors
LLM Tornado is a provider-agnostic .NET SDK designed to build, orchestrate, and deploy AI agents and workflows with a strong focus on flexibility and integration. It provides a unified interface that connects to more than 30 AI providers and vector databases, allowing developers to switch between models and services without rewriting application logic. The framework introduces a powerful orchestration system based on graph-like structures, where agents, tasks, and transitions can be defined and executed in parallel or sequential flows. ... -
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Obsidian Skills
Agent skills for Obsidian
Obsidian-Skills is a repository of agent skills tailored for use with Obsidian and any Claude-compatible agent that follows the standard Agent Skills specification, enabling AI assistants to better understand and interact with Obsidian content. These skills are markdown-driven specifications that teach Claude Code (or similar agents) how to perform context-aware tasks within Obsidian’s unique environment, such as interpreting different file types and workflows, automating workflows tied to notes, or enhancing agent responses with structured knowledge. By providing formal descriptions of patterns, conventions, and workflows common to Obsidian users, the skills empower AI tools to give more relevant suggestions, generate content that adheres to user conventions, or execute complex multi-step operations that respect the knowledge graph and file relationships. -
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Behaviour Suite Reinforcement Learning
bsuite is a collection of carefully-designed experiments
bsuite is a research framework developed by Google DeepMind that provides a comprehensive collection of experiments for evaluating the core capabilities of reinforcement learning (RL) agents. Its main goal is to identify, measure, and analyze fundamental aspects of learning efficiency and generalization in RL algorithms. The library enables researchers to benchmark their agents on standardized tasks, facilitating reproducible and transparent comparisons across different approaches. Each experiment in bsuite is meticulously designed to capture key challenges in RL, such as exploration, credit assignment, and stability. ... -
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Output
TypeScript framework for building AI workflows and agents
Output is an open-source TypeScript framework designed to build, orchestrate, and manage AI workflows and agents within a single unified system. It consolidates multiple aspects of AI development, including prompt management, evaluation, tracing, cost tracking, and orchestration, into a file-based architecture that lives entirely within the codebase. The framework is built specifically to work with AI coding agents, enabling them to read, modify, and execute workflows directly from structured project folders. ... -
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Claude for Legal
A suite of plugins for legal workflows
Claude for Legal is a suite of reference agents, skills, and connectors built to support common legal workflows with Claude. It is designed for in-house teams, law firms, clinics, and legal students who need structured assistance across commercial, corporate, employment, privacy, product, litigation, regulatory, AI governance, and IP work. The project can run as a Claude plugin or through Claude’s Managed Agents API, giving teams flexibility in how they deploy the same prompts and skills. ... -
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Claude Code Project Configuration
Comprehensive Claude Code project configuration example with hooks
Claude Code Project Configuration is a comprehensive example repository that demonstrates how to configure a real-world project to take full advantage of Claude Code’s capabilities, combining hooks, skills, agents, commands, and GitHub Actions workflows in a complete template. The showcase illustrates how to build a reusable set of domain-specific skills that encode the team’s coding patterns, conventions, and best practices so that Claude can generate code that naturally fits the project’s style out of the box. It also includes custom agents that automate tasks such as deep code review, PR reviews, or quality checks, and slash-commands that developers can invoke to kick off common operations directly from the coding environment. ... -
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skills
The open agent skills tool - npx skills
...It is designed to work across a wide range of agents and editors, so one skill package can be installed into multiple agent-specific directories without rewriting anything for each environment. It also supports both interactive and automation-friendly flows, including non-interactive installs for CI and bulk installs for all skills, which makes it usable for teams that want consistent agent capability across machines.
