Search Results for "help agent"
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Showing 28 open source projects for "help agent"
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MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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any-agent
A single interface to use and evaluate different agent frameworks
...The library is designed to simplify experimentation and benchmarking, making it easier to compare agent behavior, performance, and reliability across different implementations. It includes built-in evaluation tools such as LLM-as-a-judge and agent-as-a-judge methodologies, which help developers assess output quality systematically. any-agent also supports advanced capabilities like tracing, callbacks, and standardized observability through OpenTelemetry, ensuring consistent monitoring across frameworks. ... -
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CodiumAI PR-Agent
AI-Powered tool for automated pull request analysis
CodiumAI PR-Agent is an open-source tool aiming to help developers review pull requests faster and more efficiently. It automatically analyzes the pull request and can provide several types of commands. See the Usage Guide for instructions how to run the different tools from CLI, online usage, Or by automatically triggering them when a new PR is opened. -
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Neuro SAN Studio
A playground for neuro-san
...The system also includes mechanisms for secure data handling, ensuring sensitive information is not exposed directly to language models. Neuro SAN Studio offers built-in examples, tutorials, and debugging tools, which help users quickly prototype and refine multi-agent workflows. -
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Google Workspace CLI
Command-line tool for Drive, Gmail, Calendar, Sheets, Docs, Chat, etc.
...It dynamically generates its command structure using Google’s Discovery Service, allowing it to automatically support new API endpoints as they become available. The tool eliminates the need for manual REST API calls by providing structured commands and built-in help for each resource and method. It outputs structured JSON responses, making it easy for developers, scripts, and AI agents to process results programmatically. The CLI supports multiple authentication methods, including OAuth login, service accounts, and environment-based credentials for automated environments. With built-in agent skills and automation features, it enables developers and AI systems to manage and automate Google Workspace workflows efficiently. -
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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. ... -
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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
User Agents is a JavaScript library that generates realistic and up-to-date user agent strings and browser fingerprints based on real-world usage data. The library is designed to help developers simulate authentic browser traffic patterns, which is particularly useful in web scraping, testing, and automation scenarios. Unlike simpler random user agent generators, it uses frequency-weighted datasets to ensure that generated values reflect how browsers are actually used in the wild. ... -
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Conftest
Write tests against structured configuration data
Conftest is a utility to help you write tests against structured configuration data. For instance, you could write tests for your Kubernetes configurations, Tekton pipeline definitions, Terraform code, Serverless configs, or any other structured data. Conftest relies on the Rego language from Open Policy Agent for writing policies. If you're unsure what exactly a policy is, or unfamiliar with the Rego policy language, the Policy Language documentation provided by the Open Policy Agent documentation site is a great resource to read. -
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GPTImage2Skill
GPT Image 2 prompt gallery, image prompt library, agentic skill
GPTImage2Skill is a curated prompt gallery, agent skill, and command-line workflow for working with GPT Image 2 generation and editing. 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. -
AI-generated apps that pass security reviewRetool lets you generate dashboards, admin panels, and workflows directly on your data. Type something like “Build me a revenue dashboard on my Stripe data” and get a working app with security, permissions, and compliance built in from day one. Whether on our cloud or self-hosted, create the internal software your team needs without compromising enterprise standards or control.
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Amper
Build tool for the Kotlin and Java languages
Amper is an open-source data collection and metric reporting agent developed by JetBrains as part of their internal analytics and telemetry infrastructure for IntelliJ-based products. Its purpose is to gather usage statistics, performance metrics, error reports, and other diagnostic signals from IDE installations in a privacy-conscious way to help product teams understand real-world usage patterns and improve quality. -
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Motia
Multi-Language Backend Framework that unifies APIs
Motia is a large-scale, multi-language backend framework designed to unify and simplify core backend concerns — from APIs and background jobs to distributed workflows, streams, and advanced AI agent integration — through a single coherent primitive with built-in observability and state management. It provides a unified development philosophy that seamlessly bridges different backend patterns (queues, event streams, scheduled jobs) while offering integrated tools for telemetry, logging, metrics, and tracing to help teams maintain high visibility into production workloads. ... -
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cult/ui
Components crafted for Design Engineers. Styled using Tailwind CSS
cult/ui is an open-source collection of accessible and customizable user interface components designed to help developers quickly build modern web applications. It focuses on providing copy-and-paste components that integrate seamlessly into existing projects, reducing the need for complex setup or heavy dependencies. The library is built using modern frontend technologies such as Tailwind CSS and is fully compatible with ecosystems like shadcn, making it highly adaptable. -
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Kodus
AI code reviews, just like your senior dev would do
Kodus-AI is a framework for building, training, and deploying intelligent agents and models, especially focusing on practical AI workflows for businesses and automation. It provides a structured set of tools and abstractions that help teams design agent behaviors, orchestrate data pipelines, optimize inference, and integrate AI capabilities with applications or services. The platform often includes model management, scalable training workflows, and orchestration patterns that help teams move from research or prototypes to production-ready AI deployments. Through configurable pipelines and a focus on modularity, it supports experimentation while maintaining reproducibility and performance. ... -
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All RL Algorithms from Scratch
Implementation of all RL algorithms in a simpler way
All RL Algorithms from Scratch is an educational reinforcement learning repository built around readable Python and Jupyter Notebook implementations. Its goal is to help learners understand how major reinforcement learning algorithms work under the hood instead of hiding the logic behind large frameworks. The project includes notebooks for value-based methods, policy-gradient methods, actor-critic algorithms, model-based learning, multi-agent reinforcement learning, planning, and hierarchical approaches. ... -
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Grey Wolf Optimizer for Path Planning
Grey Wolf Optimizer (GWO) path planning/trajectory
...It allows simulation of both two-dimensional and three-dimensional UAV trajectory planning depending on parameter setups. The tool provides built-in functions to configure different UAV environments and supports multiple optimization objectives. It includes progress visualization to help monitor the optimization process during simulations. Users can adjust objective function weights and experiment with multiple heuristic search strategies to explore optimal solutions. This project demonstrates applications in multi-agent and multi-UAV cooperative path planning, making it useful for research and educational purposes in the field of intelligent optimization and robotics. -
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C# SNMP Library
C# SNMP Library (#SNMP) - Open source SNMP implementation for C#
SharpSnmpLib is an open-source SNMP library for C# and .NET applications. 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... -
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Kreuzberg
Polyglot document intelligence framework
Kreuzberg is a flexible task orchestration and agent workflow platform designed to help developers build, coordinate, and scale intelligent agents or automation pipelines that interact with external services, runtime environments, and multi-step business workflows. It emphasizes modular design so that developers can define discrete tasks or “actions” and then compose them into complex flows where dependencies, parallel steps, and error handling are declaratively managed. ... -
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UI Skills
A growing set of skills to polish interfaces built by agents
UI Skills is a curated collection of skills designed to help AI agents and tools automatically improve user interfaces by applying best-practice adjustments and fixes, making frontend workflows more reliable and performant. It provides a suite of modular routines that can be added to an AI agent’s pipeline so that interfaces are polished for accessibility, metadata correctness, performance, and visual consistency without requiring manual tweaking for each change. The project includes skills... -
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TraceRoot
Find the Root Cause in Your Code's Trace
...Lightweight SDKs for Python and TypeScript enable seamless instrumentation using OpenTelemetry, with support for both self-hosted and cloud deployment. Human-in-the-loop interaction is central: developers can guide reasoning by selecting relevant spans or logs, then verify agent reasoning through traceable context. -
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Encore
The infrastructure platform for the intelligence era
Encore is an infrastructure platform designed to help developers and AI coding agents build, test, and deploy production applications with less manual infrastructure work. It provides an open source infrastructure SDK for TypeScript and Go that lets developers declare databases, Pub/Sub, object storage, caches, cron jobs, secrets, and other resources directly in application code. Encore can run these resources locally with production-like infrastructure and automatically provision... -
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LangChainGo
LangChain for Go, the easiest way to write LLM-based programs in Go
LangChainGo is a Go-based implementation of the LangChain framework, designed to help developers build applications powered by large language models using the Go programming language. It provides a modular architecture that allows developers to combine components such as language models, chains, agents, memory systems, and vector stores into flexible workflows. The framework emphasizes composability, making it easy to create complex pipelines that integrate LLMs with external data sources,... -
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Elixir LangChain
Elixir implementation of a LangChain style framework
Elixir LangChain is an Elixir-native implementation of the LangChain concept, designed to help developers build applications powered by large language models using the Elixir ecosystem. 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... -
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Markdown Site
An open-source publishing framework built for AI agents and developers
Markdown Site is an open-source publishing framework built to help developers and AI agents quickly ship content-driven websites, blogs, or documentation directly from Markdown files with a seamless sync workflow. It is built on modern web technologies such as React, Convex, and Vite, and integrates real-time syncing so that changes to Markdown content locally instantly propagate to live views without the need to rebuild or redeploy. The framework supports an efficient authoring experience... -
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Positron
Positron, a next-generation data science IDE
Positron is a next-generation integrated development environment (IDE) created by Posit PBC (formerly RStudio Inc) specifically tailored for data science workflows in Python, R, and multi-language ecosystems. It aims to unify exploratory data analysis, production code, and data-app authoring in a single environment so that data scientists move from “question → insight → application” without switching tools. Built on the open-source Code-OSS foundation, Positron provides a familiar coding... -
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MetricFlow
MetricFlow allows you to define, build, and maintain metrics in code
...Because metric definitions live centrally, you avoid duplication across teams and tools, reduce risk of inconsistent numbers, and make it easier to audit and evolve the logic over time. The project emphasizes explainability, performance and portability: you define metrics once and then they can be consumed in BI tools, notebooks, or even AI/agent-driven workflows.
