Search Results for "action"
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Showing 176 open source projects for "action"
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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.
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Train ML Models With SQL You Already KnowBuild and deploy ML models using familiar SQL. Automate data prep with built-in Gemini. Query 1 TB and store 10 GB free monthly.
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1
LLM Action
Technical principles related to large models
LLM-Action is a knowledge/tutorial/repository that shares principles, techniques, and real-world experience related to large language models (LLMs), focusing on LLM engineering, deployment, optimization, inference, compression, and tooling. It organizes content in domains like training, inference, compression, alignment, evaluation, pipelines, and applications. -
2
Meli-Action
Download files from direct links, YouTube, Telegram, Google Play
Meli-Action is a GitHub Actions-based downloading and web archiving project designed for heavily restricted internet environments. It uses GitHub-hosted workflow runners to fetch content from direct links, YouTube, Telegram, Google Play, SoundCloud, and web pages. Downloaded files are committed into the user’s repository so they can be retrieved later through normal GitHub access. -
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GitHub Actions Version Updater
GitHub Actions Version Updater Updates All GitHub Action Versions
GitHub Actions Version Updater is GitHub Action that is used to update other GitHub Actions in a Repository and create a pull request with the updates. It is an automated dependency updater similar to GitHub's Dependabot, but for GitHub Actions. GitHub Actions Version Updater first goes through all the workflows in a repository and checks for updates for each of the action used in those workflows. -
4
OpenSnitch
OpenSnitch is a GNU/Linux port of the Little Snitch firewall
...You can launch the GUI from the icon or from the system menu. The daemon will start intercepting connections, prompting you to allow or deny them. If you don't apply an action, after 15 seconds (configurable) it'll apply the default action configured. When you open the GUI, you'll see all the connections and processes that the daemon has intercepted. Double click on a row to view the details of a process, rule, host or user. Once you know which are the common processes, IPs and hosts that your machine is connecting to, you can start creating permanent rules (Duration: always) to deny or allow them. ... -
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.
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5
Alpamayo 1
Bridging Reasoning and Action Prediction
Alpamayo 1 is a pre-trained reasoning model developed by NVIDIA to support research and development in autonomous driving systems. It combines perception, reasoning, and action prediction into a unified architecture, enabling it to interpret complex driving scenarios and generate trajectory plans. The model is designed as a foundational component rather than a complete driving stack, allowing developers to build custom autonomous vehicle applications on top of it. It incorporates vision-language-action modeling, enabling it to process sensor data and contextual information simultaneously. ... -
6
Claude Code Security Reviewer
An AI-powered security review GitHub Action using Claude
The claude-code-security-review repository implements a GitHub Action that uses Claude (via the Anthropic API) to perform semantic security audits of code changes in pull requests. Rather than relying purely on pattern matching or static analysis, this action feeds diffs and surrounding context to Claude to reason about potential vulnerabilities (e.g. injection, misconfigurations, secrets exposure, etc). -
7
Codeflash
Optimize your code automatically with AI
Codeflash is a general-purpose optimizer for Python that uses advanced large language models (LLMs) to automatically generate, test, and benchmark multiple optimization ideas, then creates merge-ready pull requests with the best improvements for your code. Optimize an entire existing codebase by running codeflash --all. Automate optimizing all future code you will write by installing Codeflash as a GitHub action. Optimize a Python workflow python myscript.py end-to-end by running codeflash optimize myscript.py. Optimizing the performance of new code for a Pull Request through GitHub Actions. This lets you ship code quickly while ensuring it remains performant. -
8
Changelog CI
Changelog CI is a GitHub Action that enables a project
Changelog CI is a GitHub Action that enables a project to automatically generate changelogs. Changelog CI can be triggered on pull_request, workflow_dispatch, and any other events that can provide the required inputs. Changelog CI uses python and GitHub API to generate a changelog for a repository. First, it tries to get the latest release from the repository (If available). -
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Clawith
OpenClaw for Teams
...The project reflects a broader trend toward building AI systems that act as autonomous operators rather than passive assistants. Overall, Clawith serves as a foundation for building advanced, action-oriented AI workflows. -
AI-powered service management for IT and enterprise teamsGive your IT, operations, and business teams the ability to deliver exceptional services—without the complexity. Maximize operational efficiency with refreshingly simple, AI-powered Freshservice.
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10
Super-Linter
Combination of multiple linters to install as a GitHub Action
...There is some desire to move this closer to local development for faster feedback on linting errors but this is not yet supported. There is no need to set the GitHub Secret as it is automatically set by GitHub, it only needs to be passed to the action. -
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Smart Money Concepts
Discover our Python package designed for algorithmic trading
...The system is modular, allowing users to combine different indicators and integrate them into backtesting frameworks or live trading bots. It is particularly useful for traders working in forex, crypto, or equities who rely on price action rather than traditional indicators. -
12
LingBot-VLA
A Pragmatic VLA Foundation Model
LingBot-VLA is an open-source Vision-Language-Action (VLA) foundational AI model designed to serve as a general “brain” for real-world robotic manipulation by grounding multimodal perception and language into actionable motions. It has been pretrained on tens of thousands of hours of real robotic interaction data across multiple robot platforms, which enables it to generalize well to diverse morphologies and tasks without needing extensive retraining on each new bot. -
13
kotaemon
An open-source RAG-based tool for chatting with your documents
An open-source clean & customizable RAG UI for chatting with your documents. Built with both end users and developers in mind. This project serves as a functional RAG UI for both end users who want to do QA on their documents and developers who want to build their own RAG pipeline. -
14
Oasis
Inference script for Oasis 500M
...Instead of rendering a pre-built game world, the system produces the next visual state via a diffusion-transformer approach, effectively “imagining” the world response to your actions in real time. The project focuses on enabling action-conditional frame generation so developers can experiment with interactive, model-generated environments rather than static video generation alone. Because it’s an inference-focused repository, it’s especially useful as a practical reference for running the model, wiring inputs, and producing the autoregressive sequence of gameplay frames. ... -
15
Pearl
A Production-ready Reinforcement Learning AI Agent Library
...The library implements classic and modern algorithms across two regimes: contextual bandits (e.g., LinUCB, LinTS, SquareCB, neural bandits) and fully sequential RL (e.g., DQN, PPO-style policy optimization), with attention to practical concerns like nonstationarity and dynamic action spaces. Tutorials demonstrate end-to-end workflows on OpenAI Gym tasks and contextual-bandit setups derived from tabular datasets, emphasizing reproducibility and clear baselines. Pearl’s design favors clarity and deployability: metrics, logging, and evaluation harnesses are integrated so you can monitor learning, compare agents, and catch regressions. -
16
NitroGen
A Foundation Model for Generalist Gaming Agents
NitroGen is a foundation model for generalist gaming agents developed under the MineDojo initiative, aimed at training a vision-action AI that can play and interact with a wide variety of games by taking pixel inputs and predicting gamepad actions. As an open research model, NitroGen is trained on extensive gameplay data spanning thousands of hours and hundreds of games to instill broad, generalizable gaming competency rather than skill at a single title. This approach enables the model to control agents in different game genres and contexts, performing tasks that range from complex exploration and combat to fine-grained control in platformers, demonstrating adaptability across unseen environments. ... -
17
CogAgent
An open sourced end-to-end VLM-based GUI Agent
CogAgent is a 9B-parameter bilingual vision-language GUI agent model based on GLM-4V-9B, trained with staged data curation, optimization, and strategy upgrades to improve perception, action prediction, and generalization across tasks. It focuses on operating real user interfaces from screenshots plus text, and follows a strict input–output format that returns structured actions, grounded operations, and optional sensitivity annotations. The model is designed for agent-style execution rather than freeform chat, maintaining a continuous execution history across steps while requiring a fresh session for each new task. ... -
18
UI-TARS
UI-TARS-desktop version that can operate on your local personal device
...Rather than relying on rigid, manually scripted UI automation, UI-TARS uses a unified vision-language model (VLM) that integrates perception, reasoning, grounding, and action into one end-to-end framework: it “thinks before acting,” enabling flexible, general-purpose automation. This allows it to perform complex, multi-step tasks such as filling forms, downloading files, navigating applications, and even controlling in-game actions — all by understanding the UI as a human would. The project is open-source, supports deployment locally or remotely, and offers a foundation for building GUI automation agents that are more robust, and adaptable. -
19
Sapiens
High-resolution models for human tasks
...It integrates sensory inputs such as vision, audio, and proprioception into a unified learning architecture that allows agents to understand and adapt to their surroundings dynamically. The project emphasizes long-horizon reasoning and cross-modal grounding—connecting language, perception, and action into a single agentic model capable of following abstract goals. It includes simulation environments, datasets, and benchmarks for testing grounded understanding, imitation learning, and decision-making. The system’s modular pipeline supports both imitation-based and reinforcement-based training strategies, allowing flexible experimentation with different embodiments and tasks. -
20
SlowFast
Video understanding codebase from FAIR for reproducing video models
...Together, these two pathways complement each other, allowing the network to model both appearance and motion without excessive computational cost. The architecture is modular and supports tasks like action recognition, temporal localization, and video segmentation, performing strongly on benchmarks like Kinetics and AVA. The repository provides training recipes, pretrained models, and distributed pipelines optimized for large-scale video datasets. -
21
Lambda Builders
Python library to compile, build & package AWS Lambda functions
...Preferably in the language that they are building. Some build actions simply execute a binary (like Golang) without writing a Go script. We provide a generic Python runner to implement such build actions. A build action is a module that knows how to build for a particular programming language & framework (ex: Python+PIP). Build actions can be implemented in Python or in the native programming language. Each build action has its own design document. -
22
JamAI Base
The collaborative spreadsheet for AI
...One of the key ideas behind the platform is the concept of generative tables, which allow database columns to automatically populate with AI-generated content. The system also supports action tables and chat tables that simplify the creation of interactive AI features such as conversational interfaces and dynamic workflows. -
23
FastUI
Build better UIs faster
FastUI is a library that lets developers build interactive user interfaces for FastAPI applications using Pydantic models. It automatically generates frontend components based on data schemas and endpoint logic, reducing the need for manual UI development. Designed to be type-safe, reactive, and fast, FastUI streamlines the creation of web dashboards, admin panels, and internal tools within a FastAPI backend. -
24
Webifier
A GitHub Action to deploy Notebooks, Markdowns
...It lets you define and direct how your web pages feel and automatically manages your assets, making it a perfect solution for fast static website development and a straightforward tool for creating Github pages as a Github action. Webifier is a good fit for the missing puzzle piece of collaborative content creation on Github and is a great tool for sharing educational material on the web. -
25
AutoGPT
Powerful tool that lets you create and run intelligent agents
AutoGPT is an experimental open-source application showcasing the capabilities of the GPT-4 language model. This program, driven by GPT-4, chains together LLM "thoughts", to autonomously achieve whatever goal you set. As one of the first examples of GPT-4 running fully autonomously, AutoGPT pushes the boundaries of what is possible with AI.
