Search Results for "feedback"
Sort By:
Showing 870 open source projects for "feedback"
View related business solutions-
Try Google Cloud Risk-Free With $300 in CreditUse your credit across every product. Compute, storage, AI, analytics. When it runs out, 20+ products stay free. You only pay when you choose to.
-
Gemini 3 and 200+ AI Models on One PlatformBuild, govern, and optimize agents and models with Gemini Enterprise Agent Platform.
-
1
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. -
2
Implicit
Fast Python collaborative filtering for implicit feedback datasets
This project provides fast Python implementations of several different popular recommendation algorithms for implicit feedback datasets. All models have multi-threaded training routines, using Cython and OpenMP to fit the models in parallel among all available CPU cores. In addition, the ALS and BPR models both have custom CUDA kernels - enabling fitting on compatible GPU’s. This library also supports using approximate nearest neighbour libraries such as Annoy, NMSLIB and Faiss for speeding up making recommendations. -
3
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. -
4
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. -
Enterprise-grade ITSM, for every businessFreshservice is an intuitive, AI-powered platform that helps IT, operations, and business teams deliver exceptional service without the usual complexity. Automate repetitive tasks, resolve issues faster, and provide seamless support across the organization. From managing incidents and assets to driving smarter decisions, Freshservice makes it easy to stay efficient and scale with confidence.
-
5
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. -
6
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. ... -
7
H2O Wave
Realtime Web Apps and Dashboards for Python and R
...Instant control over every connected web browser using a simple and intuitive programming model. Preview your app live as you code. Dramatically reduce the time and effort to build web apps. Easily share your apps with end-users, get feedback, improve and iterate. ~10MB static executables for Linux, Windows, OSX, BSD, Solaris on AMD64, 386, ARM, PPC. Run it on a RPi Zero for great good! -
8
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. ... -
9
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. -
Stop Storing Third-Party Tokens in Your DatabaseRolling your own OAuth token storage can be a security liability. Token Vault securely stores access and refresh tokens from federated providers and handles exchange and renewal automatically. Connected accounts, refresh exchange, and privileged worker flows included.
-
10
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. -
11
gpt-engineer
Full stack AI software engineer
...Built with a terminal-based interface, gpt-engineer is customizable, enabling developers to experiment with AI-assisted programming and refine their development process. It is especially useful for automating the coding and iterative feedback loop in software development. -
12
PaLM + RLHF - Pytorch
Implementation of RLHF (Reinforcement Learning with Human Feedback)
PaLM-rlhf-pytorch is a PyTorch implementation of Pathways Language Model (PaLM) with Reinforcement Learning from Human Feedback (RLHF). It is designed for fine-tuning large-scale language models with human preference alignment, similar to OpenAI’s approach for training models like ChatGPT. -
13
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. -
14
Blik
Self hosted & open source anonymous 360 review software
Blik is an open source, self-hosted platform for anonymous 360-degree feedback and performance review cycles, built with a strong focus on privacy, transparency, and developer-friendly deployment. It allows organizations to run review cycles where employees get anonymous feedback from peers, managers, and direct reports, without vendor lock-in or per-user licensing costs. The system is built using the Django framework, with a PostgreSQL backend, and is packaged for easy deployment via Docker Compose, making it accessible for small teams or startups to spin up on their own infrastructure. ... -
15
RunJS
A JavaScript playground that auto-evaluates as you type
Explore and experiment with JavaScript and TypeScript, visualize your ideas and get instant feedback as you type. Exploring JavaScript has never been easier. Live feedback as you type, with per-line results, makes it super clear what your code is doing. With RunJS you have access to Node and Browser APIs, including full DOM access. This gives you a level of versatility that's not possible in a standard REPL or Chrome console. Babel and TypeScript support enables you to write modern, up-to-date syntax. ... -
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
Tilt
Define dev environment as code for microservice apps on Kubernetes
...See all the pieces of your app, and trigger custom workflows like seeding databases or creating infrastructure. Our engine starts the whole app and runs automated rebuilds as you edit in your IDE. Get a continuous feedback loop with your logs, broken builds, and runtime errors. Work with Kubernetes without needing to be an expert. And if you are an expert, no more 20 questions with kubectl. Tilt responsively handles the tedious and repetitive parts of your workflow and gives you peripheral vision so you find errors faster. Recapture the magic of hacking with immediate feedback. -
19
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. -
20
Open Interface
Control Any Computer Using LLMs
...By sending user requests to an LLM backend, it determines the necessary steps and executes them by simulating keyboard and mouse inputs. The system can adjust its actions based on real-time feedback, providing a self-driving computer experience. -
21
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. -
22
OpenUI5
OpenUI5 lets you build enterprise-ready web applications
...UI5 apps and controls run on smartphones, tablets and desktop browsers. OpenUI5 is a JavaScript UI Framework released by SAP under the Apache 2.0 license. It's open for contributions and feedback! Explore key concepts of OpenUI5 in this minimalist web app using the MVC pattern and bootstrapping from our CDN. OpenUI5 is licensed under the Apache License, Version 2.0 - see LICENSE.txt. It also contains third-party open-source modules. Or use UI5 Tooling, the recommended tool for working with OpenUI5! It allows you to manage your framework dependencies and build optimized packages for all applications, components, and libraries. -
23
clawchief
Turn your OpenClaw into a Chief of Staff
...This approach allows for more predictable and organized multi-agent behavior compared to decentralized systems. The architecture likely includes task planning, delegation logic, and feedback loops that enable iterative refinement of outputs. It is particularly useful in scenarios where multiple agents must collaborate on interdependent tasks, such as coding, research, or automation pipelines. The system may also include monitoring tools to track agent performance and identify failures or inefficiencies. -
24
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. ... -
25
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...
