Search Results for "agents" - Page 2
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Showing 54 open source projects for "agents"
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C# SNMP Library
C# SNMP Library (#SNMP) - Open source SNMP implementation for C#
...It helps developers add Simple Network Management Protocol functionality without building the protocol layer from scratch. The project supports SNMP v1, v2c, and v3, making it useful for a wide range of network management scenarios. It can be used to build both SNMP managers and agents. Its asynchronous operations help applications stay responsive while handling network communication. The library is also designed to be extensible, so teams can adapt it to specialized monitoring, discovery, and device management needs. -
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Claude Code Slash Commands
A collection of production-ready slash commands for Claude Code
Claude Code Slash Commands is a companion framework focused on defining structured command systems that can be used by AI agents or automation tools to perform specific actions. It provides a standardized way to describe commands, their inputs, and expected outputs, enabling consistent interaction between user instructions and executable operations. The project is designed to work alongside agent frameworks, acting as the execution layer that translates abstract intents into concrete actions. ... -
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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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RuVector
Self-Learning, Vector Graph Neural Network, and Database built in Rust
RuVector is part of the broader rUv ecosystem of AI engineering tools and focuses on enabling advanced vector-based processing and intelligent system development within agentic and AI-driven pipelines. The project fits into a larger vision of modular, composable AI infrastructure designed to support autonomous agents, data retrieval, and intelligent automation workflows. It emphasizes extensibility and interoperability with modern AI stacks, allowing developers to integrate vector operations into search, reasoning, or generative systems. The repository reflects a research-forward approach that blends practical utilities with experimental agentic concepts, encouraging exploration of emerging AI design patterns. ... -
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Mobile Detect
Mobile_Detect is a lightweight PHP class for detecting mobile devices
Mobile-Detect is a lightweight PHP library that inspects the HTTP user agent string and HTTP headers to detect whether a request comes from a mobile, tablet, or desktop device. It includes a rich set of detection rules covering device brands, operating systems, and browser engines so developers can tailor responses (views, assets, or layouts) based on client form factor. Its API is simple: isMobile(), isTablet(), or deviceFamily() methods make branching logic intuitive. The library is used... -
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Elsa Workflows
A .NET Standard 2.0 Workflows Library
...Short-running Workflows can be useful to implement a business rules engine, while long-running workflows greatly simplify the implementation of complex processes that involve coordinating between multiple agents (users & machines). -
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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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Botcraft
Botcraft is a cross-platform C++ library to create bots
...Botcraft is particularly useful for AI researchers, game modders, and automation enthusiasts who want to explore pathfinding, environment interaction, or develop complex scripted agents in the Minecraft universe. -
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GenAI Processors
GenAI Processors is a lightweight Python library
GenAI Processors is a lightweight Python library for building modular, asynchronous, and composable AI pipelines around Gemini. 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... -
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OpenAI Cookbook
Examples and guides for using the OpenAI API
openai-cookbook is a repository containing example code, tutorials, and guidance for how to build real applications on top of the OpenAI API. It covers a wide range of use cases: prompt engineering, embeddings and semantic search, fine-tuning, agent architectures, function calling, working with images, chat workflows, and more. The content is primarily in Python (notebooks, scripts), but the conceptual guidance is applicable across languages. The repository is kept up to date and often... -
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Clouddriver
Read and write operations across cloud providers
Clouddriver is the cloud-provider integration layer of Spinnaker, exposing a uniform API and cache for infrastructure resources across multiple clouds. It discovers and tracks entities such as server groups, load balancers, security groups, images, and instances, normalizing them so higher-level services can reason consistently. The service also brokers mutating operations—like creating server groups or resizing clusters—by translating Spinnaker requests into provider-specific calls. A... -
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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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state-threads
Lightweight thread library for C/C++ coroutine (similar to goroutine)
The State Threads Library is a small application library that provides a foundation for writing fast and highly scalable Internet applications (such as web servers, proxy servers, mail transfer agents, and so on) on UNIX-like platforms. -
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TRFL
TensorFlow Reinforcement Learning
TRFL, developed by Google DeepMind, is a TensorFlow-based library that provides a collection of essential building blocks for reinforcement learning (RL) algorithms. Pronounced “truffle,” it simplifies the implementation of RL agents by offering reusable components such as loss functions, value estimation tools, and temporal difference (TD) learning operators. The library is designed to integrate seamlessly with TensorFlow, allowing users to define differentiable RL objectives and train models using standard optimization routines. TRFL supports both CPU and GPU TensorFlow environments, though TensorFlow itself must be installed separately. ... -
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ChainerRL
ChainerRL is a deep reinforcement learning library
...PFRL is the PyTorch analog of ChainerRL. ChainerRL has a set of accompanying visualization tools in order to aid developers' ability to understand and debug their RL agents. With this visualization tool, the behavior of ChainerRL agents can be easily inspected from a browser UI. Environments that support the subset of OpenAI Gym's interface (reset and step methods) can be used. -
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libagents
Multi-threaded C++11 Actor Model library
libagents is a C++11 implementation of the "Actor Model" (http://en.wikipedia.org/wiki/Actor_model). The libagents API allows for a natural decoupling of the core application logic from the application shell, thus facilitating the development of easily portable applications. Tested with: * gcc-4.9.1_x86 (Qt-5.4.2_windows_x86) on WinXP_x86, Win7_x86, Win8.1_x64 * gcc-7.3.0_x64 (Qt-5.9.5_linux_x64) on Ubuntu18.04_x64 -
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RobotsDisallowed
A curated list of the most common and most interesting robots.txt
...It focuses on documenting the growing trend of content owners asserting control over how their data is used for model training and automated harvesting. The project aggregates domains, notes the targeted bots or user agents, and surfaces patterns for researchers, policymakers, and tool builders. It serves both as a transparency effort and as a resource for people designing allow/deny strategies for automated access. The dataset invites community contributions to keep the picture current as new bots emerge and policies shift. It also highlights the intersection of web standards, ethics, and AI governance by showing how site owners operationalize consent and restriction at scale. -
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nunn
This is an implementation of a machine learning library in C++17
nunn is a collection of ML algorithms and related examples written in modern C++17. -
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AI Search Agent Framework
Java Framework for Artificial Intelligence Search Agents algorithms
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neural network designer
a dbms for neural nets. Chatbots, DTrees, random forests, n-grams,...
...As such, the library is optimized for handling any type of data-size by using advanced streaming and caching algorithms. With the designer, you are able to create different types of decision trees, random forests, n-grams, pattern-matchers, conversational agents and all sorts of AI related algorithms. You can combine statistical approaches as well as pattern matchers or others. Do natural language processing, image or data analysis & interpretation,... -
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SMTP4PHP
PHP powerful tool for sending e-mails fast and easily
SMTP4PHP is a collection of PHP classes, dedicated for composing and sending multipart/mixed email messages quickly and easily, with or without embedded images and/or attachments. -
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Concurrent agents for Java. Create multithreaded active objects using standard Java interfaces and classes without explicit use of threads, synchronization, or other concurrency primitives.
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Java framework for agent based application development
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JavaEmailer is a Java Classes Library that allows Java developers to easily integrate a mass mailer to their applications. JavaEmailer manages file attachments, SMTP servers, CCs, BCCs, plain text and/or html messages, and more...