Search Results for "feedback" - Page 7
Sort By:
Showing 762 open source projects for "feedback"
View related business solutions-
$300 Free Credits for Your Google Cloud ProjectsLaunch your next project with $300 in free Google Cloud credits—no strings attached. Test, build, and deploy without risk. Use your credits across the entire Google Cloud platform to find what works best for your needs. After your credits are used, continue with always-free tier services. Only pay when you're ready to scale. Sign up in minutes and start exploring.
-
Our Free Plans just got better! | Auth0You asked, we delivered! Auth0 is excited to expand our Free and Paid plans to include more options so you can focus on building, deploying, and scaling applications without having to worry about your security. Auth0 now, thank yourself later.
-
1
syzkaller
syzkaller is an unsupervised coverage-guided kernel fuzzer
syzkaller is Google’s coverage-guided, feedback-driven kernel fuzzer designed to uncover reliability and security bugs in operating system kernels at scale. It automatically generates, mutates, and minimizes system call programs, then drives them through a specialized executor (syz-executor) to exercise deep kernel paths. The system integrates tightly with sanitizers such as KASAN, KMSAN, KCSAN, and UBSAN to surface memory safety, concurrency, and undefined behavior issues with actionable reports. ... -
2
Agora Flat
Project flat is the Web, Windows and macOS client of Agora Flat
...Build real-time interactive virtual classroom with ease from our open-sourced projects. Agora Flat was born out of an exploratory project in which we investigated customer needs and user experience. After receiving good internal feedback, we believe that Flat has the potential to become an online classroom product that can really help people and have a good user experience. We hope that through Flat the transfer cost of knowledge can be reduced a little. We knew that our power alone wasn’t enough, so we decided to open source, give as many developers as possible the opportunity to participate, and let the ideas and power of the community nourish Flat until it becomes something useful. ... -
3
Concourse
Concourse is a container-based continuous thing-doer written in Go
...Each job has a build plan declaring the job's input resources and what to run with them when they change. Your pipeline is then visualized in the web UI, taking only one click to get from a failed job to seeing why it failed. The visualization provides a "gut check" feedback loop: if it looks wrong, it probably is wrong. Jobs can depend on other jobs by configuring passed constraints. The resulting chain of jobs and resources is a dependency graph that continuously pushes your project forward, from source code to production. -
4
Strikt
An assertion library for Kotlin
...Strikt uses a fluent assertion style similar to AssertJ but leverages Kotlin's type system and extension functions rather than needing a complex hierarchy of assertion builder classes. Strikt is under development, but 100% usable. The API may change until version 1.0 is released. Any suggestions, issue reports, contributions, or feedback are very welcome. -
Ship Agents FasterGemini Enterprise Agent Platform lets you rapidly build, scale, govern and optimize production-ready agents grounded in your organization's data. The platform enables developers to build custom or pre-built agents for virtually any use case. New customers get $300 in free credits.
-
5
Pry
A runtime developer console and IRB alternative
...An extensible command system and a rich plugin ecosystem add profiling, colorized output, paging, and Git integration. In day-to-day development, Pry shortens the feedback loop and turns debugging into an exploratory, conversational workflow. -
6
Inquirer.js
A collection of common interactive command line user interfaces
Inquirer.js strives to be an easily embeddable and beautiful command line interface for Node.js (and perhaps the "CLI Xanadu"). Inquirer.js should ease the process of providing error feedback, asking questions, parsing input, validating answers, and managing hierarchical prompts. Inquirer.js provides the user interface and the inquiry session flow. If you're searching for a full blown command line program utility, then check out commander, vorpal or args. Create a self contained inquirer module. If you don't want to affect other libraries that also rely on inquirer when you overwrite or add new prompt types. ... -
7
tachyonfx
Effects and animation library for Ratatui applications
...TachyonFX integrates deeply with Ratatui’s rendering model, allowing developers to apply effects to widgets, layouts, or entire scenes without rewriting core UI logic. It also supports real-time updates and interactive behaviors, making it suitable for applications that require responsive visual feedback. -
8
pi-autoresearch
Autonomous experiment loop extension for pi
pi-autoresearch is an automation-oriented research assistant project that focuses on orchestrating iterative information gathering, analysis, and synthesis workflows with minimal human intervention. It is designed to simulate a continuous research loop where queries are generated, refined, and expanded based on previous outputs, enabling deeper exploration of complex topics. The system likely integrates with external data sources or APIs to retrieve information and process it into structured... -
9
SwiftUI Agent Skill
SwiftUI agent skill for Claude Code, Codex, and other AI tools
SwiftUI-Agent-Skill is an advanced agent skill designed to enhance AI coding assistants by embedding expert-level knowledge of SwiftUI development practices into their workflows. It provides structured guidance that helps AI tools generate more accurate, modern, and maintainable SwiftUI code by addressing common mistakes such as misuse of APIs, poor performance patterns, and accessibility oversights. The system includes a comprehensive review process that evaluates code across multiple... -
Error to trace to log to deploy. One click. No SSH.AppSignal links every error to the trace, the trace to the log, the log to the deploy that shipped it.
-
10
ClawTeam
ClawTeam: Agent Swarm Intelligence (One Command → Full Automation)
...Instead of relying on a single agent, the system allows a leader agent to spawn and coordinate multiple specialized sub-agents, each responsible for different aspects of a problem. These agents communicate, share insights, and dynamically adapt their strategies based on real-time feedback, creating a form of collective intelligence. The framework supports a wide range of use cases, including software development, machine learning research, financial analysis, and content production. It is designed to work with various AI tools and command-line agents, making it highly flexible and extensible. ClawTeam also includes monitoring tools such as dashboards and tmux-based views to observe agent activity and progress. -
11
Reflexion
Reflexion: Language Agents with Verbal Reinforcement Learning
Reflexion is a research-oriented AI framework that focuses on improving the reasoning and problem-solving capabilities of language model agents through iterative self-reflection and feedback loops. Instead of relying solely on a single-pass response, Reflexion enables agents to evaluate their own outputs, identify errors, and refine their reasoning over multiple iterations, leading to more accurate and reliable results. The framework introduces a mechanism where agents maintain a memory of past attempts and use that memory to guide future decisions, effectively simulating a learning process without requiring traditional model retraining. ... -
12
MiroThinker
MiroThinker is an open source deep research agent
MiroThinker is an open-source deep research AI agent designed to perform complex reasoning, information gathering, and predictive analysis tasks. The system focuses on enabling long-horizon research workflows by allowing the agent to interact repeatedly with external tools, search systems, and data sources while refining its reasoning through iterative steps. Rather than simply generating responses from a single prompt, the agent performs structured multi-step reasoning processes that... -
13
Neovim 99
Neovim AI agent done right
...Rather than a polished end-product, this repo serves as a playground for testing, iterating, and documenting workflows that integrate AI agents directly into everyday coding tools, emphasizing rapid feedback loops, automation, and minimal friction. The project often includes configuration files, scripts, and examples that show how to coerce modern AI assistants into productive roles within editors, plugins, and terminal workflows, with a focus on “no excuses” productivity. It blends examples from Neovim, agent automation, and developer ergonomics to illustrate how AI can be baked into existing environments. -
14
SteadyDancer
Harmonized and Coherent Human Image Animation
...By differentiating between intentional rhythmic motion and unintentional instability, SteadyDancer applies adaptive filtering that enhances video quality without flattening the core movement dynamics. The system can be used both in preprocessing pipelines for content creators and in live feedback loops for performers, giving dancers and videographers a tool to refine their visual outputs. It supports integration with standard video formats and includes customizable parameters so users can tune stabilization aggressiveness. -
15
Agentic Data Scientist
An end-to-end Data Scientist
Agentic Data Scientist is an experimental AI-driven research framework that orchestrates data science workflows through autonomous agents that can reason, plan, and execute complex analytics tasks. Unlike traditional scripted pipelines, this project lets AI agents break down high-level research goals into sub-tasks such as data acquisition, cleaning, modeling, evaluation, and reporting, with minimal human direction. Each agent is designed to independently call functions, interact with data... -
16
Go Katas
A collection of daily coding challenges
...Each kata prompt focuses on a precise aspect of Go, such as concurrency patterns, memory management, interfaces, error handling, or performance optimization, giving learners structured practice opportunities that go beyond syntax. Implementations can be tested locally, graded automatically with included test suites, and iterated on so that learners get rapid feedback and measurable progress. Because Go is widely used for backend services, cloud tooling, and systems programming, this repository helps participants build confidence in writing reliable, idiomatic, and maintainable code in real environments. -
17
Atropos
Language Model Reinforcement Learning Environments frameworks
...It provides foundational tooling for asynchronous RL loops where environment services communicate with trainers and inference engines, enabling complex workflow orchestration in distributed and parallel setups. This framework facilitates experimentation with RLHF (Reinforcement Learning from Human Feedback), RLAIF, or multi-turn training approaches by abstracting environment logic, scoring, and logging into reusable components. -
18
Krypt
Build a Web 3.0 React Solidity blockchain application
...The project emphasizes end-to-end learning: from authoring and compiling a smart contract, to deploying it, and then interacting with it via web3 libraries in React. It demonstrates core patterns like sending transactions, reading on-chain state, and providing user feedback for pending and confirmed operations. The codebase is structured to be approachable for newcomers while still exposing real-world concerns such as network switching and account permissions. Collaboration and Q&A are encouraged through the repo’s community channels, making it a practical launchpad for first-time Web3 builders. -
19
ALE
Check syntax in Vim/Neovim asynchronously and fix files
ALE is an asynchronous linting and fixing engine for Vim and Neovim that keeps feedback flowing without blocking your editor. It runs external linters and formatters in the background as you type or save, streaming diagnostics into the sign column and statusline. The project focuses on breadth and practicality: dozens of languages work out of the box, and configuration is usually a matter of selecting tools you already use on the command line. -
20
CodeWorld
Educational computer programming environment using Haskell
CodeWorld is an educational programming environment that uses a Haskell-inspired language to teach computational thinking through graphics and interactive animation. The web-based IDE provides immediate visual feedback: students write code that draws shapes, composes pictures, and responds to events to build simple games and simulations. Its API emphasizes mathematics and geometry rather than low-level UI details, making it approachable for classrooms and self-learners. Projects run in the browser, leveraging a compiler pipeline that turns the high-level code into JavaScript so no installation is required. ... -
21
Whoops
PHP errors for cool kids
Whoops is a PHP library that improves the debugging experience by handling uncaught exceptions and presenting beautiful error pages. Instead of a cryptic “fatal error,” Whoops catches the exception and renders a detailed stack trace with syntax-highlighted code snippets, variable values, and clickable frames to navigate between calls. It can be integrated into frameworks or standalone scripts so developers consistently get readable, informative pages during development. Beyond error pages,... -
22
SWE-agent
SWE-agent takes a GitHub issue and tries to automatically fix it
...On the SWE-bench, the SWE-agent resolves 12.47% of issues, achieving state-of-the-art performance on the full test set. We accomplish our results by designing simple LM-centric commands and feedback formats to make it easier for the LM to browse the repository, and view, edit, and execute code files. We call this an Agent-Computer Interface (ACI). -
23
Gorse Recommender System Engine
An open source recommender system service written in Go
...Support Redis, MySQL, Postgres, MongoDB, and ClickHouse as its storage backend. Expose RESTful APIs for data CRUD and recommendation requests. Analyze online recommendation performance from recently inserted feedback. Provide GUI for data management, system monitoring, and cluster status checking. Gorse is an open-source recommendation system written in Go. Gorse aims to be a universal open-source recommender system that can be easily introduced into a wide variety of online services. By importing items, users and interaction data into Gorse, the system will automatically train models to generate recommendations for each user. -
24
Flow
A static type checker for JavaScript
Flow is a static type checker for JavaScript. It was designed to help improve code quality and developer productivity. It does this through several smart capabilities. First, it identifies problems as you code, so you no longer have to waste time guessing and checking again and again. Second, it understands your code and makes its knowledge available, allowing you to build other smart tools on top of it. Third, it helps you refactor safely so you can focus on the changes you want to make and... -
25
PKU Beaver
Constrained Value Alignment via Safe Reinforcement Learning
PKU Beaver is an open-source research project focused on improving the safety alignment of large language models through reinforcement learning from human feedback under explicit safety constraints. The framework introduces techniques that separate helpfulness and harmlessness signals during training, allowing models to optimize for useful responses while minimizing harmful behavior. To support this process, the project provides datasets containing human-labeled examples that encode both performance preferences and safety constraints across multiple dimensions. ...
