Search Results for "feedback"
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Showing 922 open source projects for "feedback"
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1
Monkeytype
The most customizable typing website with a minimalistic design
...It offers multiple test modes so users can practice with words, quotes, custom text, timed tests, and other variations. The interface is designed to feel natural by showing typed characters in place and providing immediate feedback on errors, speed, and accuracy. Users can create accounts to save typing history, review progress, and compare results over time. The project also includes many personalization options, including themes, sounds, caret behavior, layouts, and other user-configurable settings. It is useful for casual typists, competitive typing communities, keyboard enthusiasts, and developers interested in a full-featured web app. -
2
Claude Code
Claude Code is an agentic coding tool that lives in your terminal
...Claude Code integrates seamlessly into your terminal, IDE, or GitHub by tagging @claude to interact with your code context. The tool is designed to simplify development by automating repetitive work and providing instant clarifications on code behavior. User feedback and usage data are collected responsibly, with strict privacy safeguards and limited retention, ensuring no feedback is used to train generative models. Claude Code is open and actively maintained with community-driven bug reporting and feature requests. Its natural language interface makes advanced coding workflows accessible without leaving your coding environment. -
3
Plannotator
Annotate and review coding agent plans visually, share with your team
...It allows developers to annotate proposed plans, sketches, and outlines from tools like Claude Code or OpenCode with pen tools, arrows, and highlighting, seamlessly capturing feedback that can be shared across teams or pushed back to agents. Plannotator integrates with diff views so reviewers can annotate changes line-by-line in git diffs, provide structured feedback, and navigate plans visually rather than through raw text alone. Users can attach and annotate images, save approved plan versions, and automatically export feedback into systems like Obsidian or Bear Notes for documentation purposes. -
4
Jenkins X CLI
Jenkins X provides automated CI+CD for Kubernetes
...Jenkins X then automates the management of the Environments and the Promotion of new versions of Applications between Environments via GitOps and pull requests. Jenkins X automatically spins up Preview Environments for your pull requests so you can get fast feedback before changes are merged to the main branch. Jenkins X automatically comments on your Commits, Issues and pull requests with feedback as code is ready to be previewed, is promoted to environments or if pull requests are generated automatically to upgrade versions. -
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5
ty
An extremely fast Python type checker and language server
...It is positioned as a next-generation alternative to tools such as mypy and Pyright, offering significantly faster performance through incremental analysis and optimized execution. The tool is designed from the ground up to power editor integrations, enabling real-time feedback as developers write code with minimal latency. ty includes advanced type system capabilities such as intersection types, improved type inference, and detailed diagnostics that help identify issues even in partially typed codebases. It supports integration with multiple development environments through its language server implementation, providing features like code navigation, auto-completion, and inline hints. -
6
ImageReward
[NeurIPS 2023] ImageReward: Learning and Evaluating Human Preferences
...It is provided as a Python package (image-reward) that enables quick scoring of generated images against textual prompts, with APIs for ranking, scoring, and filtering outputs. Beyond evaluation, ImageReward supports Reward Feedback Learning (ReFL), a method for directly fine-tuning diffusion models such as Stable Diffusion using human-preference feedback, leading to demonstrable improvements in image quality. -
7
usbliter8
An A12/A13 SecureROM exploit
usbliter8 is a low-level security research project focused on a tethered SecureROM exploit for Apple A12, S4/S5, and A13 SoCs. It targets a USB controller bug that requires specialized microcontroller hardware rather than a normal Mac or PC USB stack. The repository includes firmware source code, board support files, shellcode directories, USB handling code, logging helpers, and a Python control tool. It is intended for advanced researchers who understand DFU behavior, embedded development,... -
8
Reef
Continual learning infra for self-improving agents
Reef is open-source infrastructure for building AI agents that continually improve from interaction and feedback. It connects live inference, feedback collection, learning, evaluation, and versioned deployment in one lifecycle. The system can improve either underlying model weights or the surrounding agent harness, including prompts, skills, and rules. Its core loop follows four stages: serve requests, observe feedback, grow candidate improvements, and commit accepted updates. ... -
9
agentation
The visual feedback tool for agents
Agentation is a visual annotation and feedback tool designed to make interacting with AI coding agents more intuitive and precise by letting developers visually click on frontend elements in a browser and annotate them with context before sending structured feedback to an agent. Instead of describing UI elements in text — like “the blue button in the sidebar” — users click directly on elements to automatically capture selectors, positions, and contextual metadata that can be consumed by AI agents to locate exact code references. ... -
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10
PentestGPT
Automated Penetration Testing Agentic Framework Powered by LLMs
...The platform supports multiple penetration testing categories, including web security, cryptography, reversing, forensics, privilege escalation, and binary exploitation. PentestGPT runs in a Docker-first environment, providing a secure, reproducible setup with built-in tooling and session persistence. It offers real-time feedback and live walkthroughs, allowing users to observe each step of the testing process as it unfolds. Built with a modular and extensible architecture, PentestGPT supports cloud and local LLMs, making it suitable for research, education, and authorized security testing. -
11
AlertKit
Native alert from Apple Music & Feedback
AlertKit is an open source Swift library designed to replicate the native alert and feedback popups seen in Apple Music and the App Store, giving iOS developers a simple way to integrate polished, system-like notifications into their applications. It focuses on delivering visually consistent and animated alert components that closely match Apple’s design language, including styles inspired by iOS 16 and iOS 17 system interfaces. -
12
blink.cmp
Performant, batteries-included completion plugin for Neovim
blink.cmp is a Neovim plugin that provides visual feedback during autocompletion using nvim-cmp. It highlights matched characters in completion items by making them blink, helping users better understand how their input corresponds to the suggestions. This is especially helpful in noisy or dense suggestion lists. -
13
Toaster Frame
Android toast frame, dedicated to treating various difficult problems
...The library is designed for easy integration, allowing developers to replace default toast usage with minimal code changes. It also supports styling and positioning improvements that make transient user feedback more predictable. In practice, Toaster is useful for Android teams that want consistent UI feedback without building a custom notification system from scratch. -
14
OpenClaw-RL
Train any agents simply by 'talking'
...The project focuses on enabling agents to improve their behavior through interactive learning rather than relying solely on static prompts or predefined skills. One of its key ideas is allowing users to train an AI agent simply by interacting with it conversationally, using natural language feedback to guide the learning process. The system incorporates reinforcement learning techniques to refine the agent’s policies for tool use, decision making, and task completion over time. It also explores approaches such as online policy distillation and hindsight feedback signals to strengthen training signals from real interactions. ... -
15
EvoAgentX
Self-evolving AI agent framework for automated workflows
EvoAgentX is an open source framework for building, evaluating, and continuously improving LLM-based agents and multi-agent workflows. It moves beyond static pipelines by introducing a self-evolving system where agents are automatically generated, tested, and optimised through iterative feedback. Developers can define goals in natural language, while the framework handles workflow creation, execution, and refinement. Its modular architecture supports layered components for agents, workflows, evaluation, and evolution, enabling flexible experimentation and scaling. EvoAgentX integrates optimisation algorithms to refine prompts, tool usage, and workflow structures over time. ... -
16
TruLens
Evaluation and Tracking for LLM Experiments
TruLens is an open-source Python library designed to systematically evaluate and track Large Language Model (LLM) applications. It provides fine-grained instrumentation, feedback functions, and a user interface to compare and iterate on app versions, facilitating rapid development and improvement of LLM-based applications. Programmatic tools that assess the quality of inputs, outputs, and intermediate results from LLM applications, enabling scalable evaluation. Fine-grained, stack-agnostic instrumentation and comprehensive evaluations help identify failure modes and systematically iterate to improve applications. ... -
17
Code Review GPT
Your personal code reviewer powered by LLMs
Code Review GPT uses Large Language Models to review code in your CI/CD pipeline. It helps streamline the code review process by providing feedback on code that may have issues or areas for improvement. Code Review GPT is in alpha and should be used for fun only. It may provide useful feedback but please check any suggestions thoroughly. -
18
MLE-bench
AI multi-agent framework for automating data-driven R&D workflows
...It separates the process into two core phases: a research stage that proposes hypotheses and ideas, and a development stage that implements and evaluates them through code execution and experiments. By iterating through these stages, the framework continuously refines models and strategies using feedback from previous results. RD-Agent focuses heavily on automating complex tasks such as feature engineering, model design, and experimentation, which are traditionally time-consuming in machine learning and quantitative research workflows. RD-Agent can analyze data, generate experimental code, run evaluations, and learn from outcomes to improve future iterations. -
19
Canvas LMS
The open LMS by Instructure, Inc.
...Instructors build courses from modular content—pages, assignments, discussions, quizzes—and organize them into learning paths with prerequisites and due dates. Rich grading tools like SpeedGrader streamline assessment with rubrics, inline annotations, and audio/video feedback, while the gradebook supports weighting, outcomes, and late/missing policies. A robust API, standards like LTI/IMS Common Cartridge, and SIS integrations make it straightforward to connect Canvas with publisher content, analytics tools, proctoring, and institutional systems. Role-based permissions, accommodations, and accessibility features support diverse learners at scale, and mobile apps keep students engaged on the go. -
20
Universal G-Code Sender
A cross-platform G-Code sender for GRBL, Smoothieware, etc.
A full-featured gcode platform used for interfacing with advanced CNC controllers like GRBL , TinyG, g2core and Smoothieware. Universal Gcode Sender is a self-contained Java application that includes all external dependencies and can be used on most computers running Windows, MacOSX or Linux. With older versions of GRBL UGS is pretty reliable when it comes to jogging, but there are limitations. With GRBL 1.1 this is no longer the case when using the new JOG MODE syntax. This first-class jog... -
21
MetaClaw
Just talk to your agent
MetaClaw is an AI or agent-oriented system that appears to focus on advanced control, coordination, or training of autonomous agents, potentially within reinforcement learning or tool-using environments. The project likely emphasizes meta-level reasoning, where agents are not only executing tasks but also adapting their strategies based on feedback and performance signals. It may incorporate mechanisms for learning from interactions, improving decision-making over time, and generalizing across different domains. The architecture suggests scalability, allowing the system to handle multiple agents or complex workflows simultaneously. It is likely designed for experimentation with next-generation agent systems that combine planning, learning, and execution. ... -
22
DeepTutor
AI-Powered Personalized Learning Assistant
DeepTutor is an AI-powered tutoring and learning assistant framework designed to automatically teach, explain, and reinforce academic or technical concepts in depth according to a learner’s specific needs. It goes beyond simple Q&A by constructing multi-stage educational narratives, breaking down complex topics into sequenced “lesson steps,” and offering prompts, examples, and exercises that build on each other in a logical curriculum. The core architecture combines LLM-based reasoning with... -
23
Xenia Canary
Xbox 360 Emulator Research Project
Xenia Canary is an experimental fork of the Xenia Xbox 360 emulator that moves faster than the mainline project to trial bleeding-edge improvements. It focuses on game compatibility and performance by iterating quickly on GPU and CPU emulation paths, shader translation, and timing correctness. Canary builds are where risky optimizations, new backends, and rewrites land first so they can be tested by a wider community before stabilizing. The project emphasizes pragmatism: make more titles... -
24
ReelMimic
Show it a video you love. Get a new video in the same style
...It then creates a production plan containing storyboards, character designs, assets, and style references for approval. Multiple AI agents collaborate to generate individual shots and review completed work. Users can monitor production, inspect revisions, and leave timestamped feedback directly on the video. ReelMimic runs locally with Claude Code or Codex and supports several 2D animation styles, including watercolor, pixel art, and motion graphics. -
25
Mercury Agent
Soul-driven AI agent with permission-hardened tools, token budgets
...It focuses on orchestrating tasks across multiple tools and services, enabling agents to perform end-to-end operations. The system includes mechanisms for planning, execution, and feedback, allowing agents to refine their actions iteratively. It supports integration with external APIs and services, making it adaptable to various domains. The architecture is modular, allowing developers to customize and extend agent capabilities. It is particularly useful for automation, research, and task delegation scenarios. Overall, mercury-agent enables scalable and intelligent workflow automation.
