Search Results for "agents"
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Showing 49 open source projects for "agents"
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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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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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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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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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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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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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Recursive Language Models
General plug-and-play inference library for Recursive Language Models
RLM (short for Reinforcement Learning Models) is a modular framework that makes it easier to build, train, evaluate, and deploy reinforcement learning (RL) agents across a wide range of environments and tasks. It provides a consistent API that abstracts away many of the repetitive engineering patterns in RL research and application work, letting developers focus on modeling, experimentation, and fine-tuning rather than infrastructure plumbing. Within the framework, you can define custom agents, environments, policy networks, and reward structures while leveraging built-in dataset utilities, logging, and checkpointing for reproducible experiments. ... -
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nature-skills
Skill that conforms to the academic expression and scientific research
nature-skills is an open-source collection of AI agent skills and structured workflows designed to enhance autonomous reasoning and tool usage in AI assistants. The project organizes reusable “skills” that agents can invoke for different operational contexts, helping AI systems perform specialized tasks more consistently and effectively. It appears to focus on modularity and interoperability, allowing skills to be combined, extended, or integrated into broader agent ecosystems. The repository is designed to support experimentation with multi-step reasoning, task automation, and contextual tool orchestration for agentic AI systems. ... -
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Clone Wars
100+ open-source clones of popular sites like Airbnb, Amazon
The Clone Wars project is a framework designed to replicate or simulate the behavior of AI agents, workflows, or systems in a modular and extensible way. It focuses on enabling users to create multiple instances of similar agents or processes, allowing for experimentation, comparison, and scaling. The project emphasizes reproducibility, making it easier to test variations of prompts, configurations, or agent architectures. It can be used to explore how different setups impact performance or outputs in AI systems. ... -
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colleague-skill
Transform a cold separation into a warm Skill
colleague-skill is a specialized agent skill designed to simulate a collaborative teammate within AI-driven workflows, enabling agents to behave more like human colleagues in problem-solving scenarios. The project focuses on enhancing interaction quality by introducing role-based behavior, contextual awareness, and cooperative task execution. It allows agents to provide suggestions, feedback, and alternative approaches, mimicking real-world collaboration dynamics. -
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LangChainGo
LangChain for Go, the easiest way to write LLM-based programs in Go
...LangChainGo also includes support for embeddings, semantic search, and retrieval-augmented generation, enabling developers to build data-aware applications. With built-in abstractions for agents and tool usage, it enables the creation of systems that can reason, take actions, and interact with their environment. -
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Werkzeug
The comprehensive WSGI web application library
...Includes a routing system for matching URLs to endpoints and generating URLs for endpoints, with an extensible system for capturing variables from URLs. Includes HTTP utilities to handle entity tags, cache control, dates, user agents, cookies, files, and more. -
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RLax
Library of JAX-based building blocks for reinforcement learning agents
RLax (pronounced “relax”) is a JAX-based library developed by Google DeepMind that provides reusable mathematical building blocks for constructing reinforcement learning (RL) agents. Rather than implementing full algorithms, RLax focuses on the core functional operations that underpin RL methods—such as computing value functions, returns, policy gradients, and loss terms—allowing researchers to flexibly assemble their own agents. It supports both on-policy and off-policy learning, as well as value-based, policy-based, and model-based approaches. ... -
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nuwa-skill
Mental models, decision heuristics, expressing DNA
nuwa-skill is an AI-oriented project focused on defining, managing, and executing modular “skills” that can be used by intelligent agents or automation systems. It provides a framework for organizing capabilities into reusable units that can be invoked dynamically depending on context or user input. The project is designed to integrate with AI systems, enabling them to perform structured tasks such as data retrieval, processing, or interaction with external services. -
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DeviceDetector
The Universal Device Detection library will parse any User Agent
Device Detector is a PHP library for parsing user-agent strings to detect devices, operating systems, and browsers, widely used in analytics and tracking. -
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GitHub Actions Runner Images
GitHub Actions runner images
This repository contains the source code used to create the VM images for GitHub-hosted runners used for Actions, as well as for Microsoft-hosted agents used for Azure Pipelines. To build a VM machine from this repo's source, see the instructions. -
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Antigravity Awesome Skills
The Ultimate Collection of 700+ Agentic Skills for Claude Code
Antigravity Awesome Skills is a playful yet practical repository that curates a set of clever, expressive, and sometimes whimsical AI agent skill templates designed to help users bootstrap agent behavior quickly. Rather than focusing on production-grade systems, it provides creative and high-impact skills that demonstrate how agents can be used to automate tasks, generate content, assist with daily operations, or integrate into larger workflows with minimal configuration. The project includes skill definitions, example prompts, and usage patterns that highlight how modular abilities can be assembled into functioning assistants. Because it aims to reduce cognitive overhead, many skills show how to structure intents, handle context, and orchestrate multi-step reasoning without deep technical complexity. ... -
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Plugins
Curated collection of Codex plugin examples
...It is designed to show developers how plugins can be structured, packaged, and extended for Codex-based workflows. Each plugin follows a consistent layout with a manifest and optional supporting surfaces such as skills, commands, hooks, assets, agents, and MCP configuration. The repository is useful for developers who want practical references instead of abstract plugin documentation alone. It demonstrates how different plugin components can work together to add specialized behavior to an AI coding environment. Its main value is helping builders understand how to create reusable Codex extensions with clear organization and predictable project conventions. -
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Everything Claude Code
Complete Claude Code configuration collection
Everything Claude Code is a community-driven collection of Claude Code skills, workflows, and examples that accelerate the adoption of Anthropic’s Claude models for real-world developer tasks, ranging from project scaffolding to code generation and testing automation. The repository curates reproducible templates that demonstrate how Claude Code agents can participate in end-to-end developer journeys such as building new features, adhering to coding standards, generating documentation, and automating refactor patterns. It also includes example orchestrations that showcase multi-step agent workflows, letting developers see how to compose small, discrete agent capabilities into productive, cohesive sequences. ... -
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LangChain.dart
Build LLM-powered Dart/Flutter applications
LangChain.dart is a Dart and Flutter implementation of the LangChain framework, designed to enable developers to build LLM-powered applications for mobile, web, and cross-platform environments. It provides a structured way to integrate language models into applications by offering abstractions for chains, agents, embeddings, and vector stores. The framework supports multiple providers and includes packages for integrating with services such as OpenAI, Google AI, and Firebase, allowing developers to build both local and cloud-based AI workflows. It is designed with developer experience in mind, offering strongly typed APIs, modular packages, and seamless integration into Flutter applications. ... -
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Elixir LangChain
Elixir implementation of a LangChain style framework
...The library focuses on enabling composable workflows where different processes, APIs, and services can be connected into structured pipelines driven by LLMs. It mirrors the architecture of traditional LangChain frameworks by providing abstractions for chains, tools, agents, and model integrations while adapting them to Elixir’s concurrency model. This makes it particularly well-suited for building scalable, real-time AI systems that benefit from Elixir’s fault tolerance and lightweight process management. The framework supports multiple providers and includes features such as streaming responses, tool calling, and structured outputs, allowing developers to create complex AI-driven workflows. -
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claude-code-best-practice
Practice made claude perfect
claude-code-best-practice is a structured knowledge repository that documents advanced workflows, architectural patterns, and optimization strategies for developers using Claude Code in agentic development environments. Rather than being a traditional software library, the project functions as a living playbook that demonstrates how to compose skills, agents, memory files, and rules into maintainable AI-assisted coding systems. The repository emphasizes modularity and progressive disclosure, encouraging developers to build reusable components that can be invoked on demand. It also explores operational concerns such as permissions management, sandboxing, debugging workflows, and context optimization. ... -
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GPTImage2Skill
GPT Image 2 prompt gallery, image prompt library, agentic skill
...It provides reusable image prompts across creative, technical, academic, interface, design, photography, typography, gaming, anime, map, tattoo, and reference-editing use cases. The project is designed to help agents and users produce stronger visual outputs without starting from a blank prompt every time. Its gallery is organized into category files so an agent can load only the relevant prompt references instead of overwhelming the context window. It also includes installation paths for skill-capable environments such as Claude Code, Codex, OpenClaw, and other agent runtimes. ... -
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LangChain for .NET
C# implementation of LangChain
LangChain .NET is a C# implementation of the LangChain framework that enables developers to build LLM-powered applications using the .NET ecosystem. The project aims to replicate the core abstractions of LangChain, such as chains, agents, and vector stores, while adapting them to the conventions and strengths of C#. It emphasizes composability, allowing developers to build complex workflows by combining modular components that interact with language models and external data sources. The framework supports integration with multiple providers, including OpenAI and other compatible APIs, and includes tools for embeddings, document loading, and vector database interaction. ... -
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Knowledge Work Plugins
Open source repository of plugins intended for knowledge workers
...The repository includes plugins for practical office, research, legal, and business workflows, with each plugin stored as editable Markdown. This makes the system easy to inspect, fork, customize, and adapt to an organization’s own process. Its goal is to help agents perform repeatable knowledge work with clearer expectations, domain constraints, and workflow patterns. The project is best suited for teams that want reusable AI work instructions without building a full application around them.
