Search Results for "action" - Page 8
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Showing 1612 open source projects for "action"
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1
AngularFire
The official Angular library for Firebase
...Stable zones allow proper functionality of service workers, forms, SSR, and pre-rendering. Utilize RxJS rather than callbacks for realtime streams. Integrate with NgRx using AngularFire's action based APIs. AngularFire dynamically imports much of Firebase, reducing time to load your app. Get your Angular application deployed on Firebase Hosting with a single command. Zero-effort Angular Router awareness in Google Analytics. Guard your Angular routes with built-in Firebase Authentication checks. -
2
TypeResolver
PSR-5 based resolver of class names, types, structural element names
...This package provides two Resolvers that are capable of returning a series of Value Object for given expression while resolving any partial class names, and returning an FQSEN object after resolving any partial Structural Element Names into Fully Qualified Structural Element names. Consult the examples folder and check which type of action that your want to accomplish. -
3
Agents 2.0
An Open-source Framework for Data-centric Language Agents
...The project introduces a concept known as agent symbolic learning, which treats an agent pipeline similarly to a neural network computational graph. In this framework, each node in the pipeline represents a step in the reasoning or action process, while prompts and tools act as adjustable parameters analogous to neural network weights. During training, the system performs a forward execution where the agent completes a task and records the trajectory of prompts, outputs, and tool usage. A prompt-based loss function is then applied to evaluate the quality of the outcome, generating language-based gradients that guide improvements to the agent pipeline. -
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Open X-Embodiment
Unified open dataset enabling cross-embodiment learning for robotics
Open X-Embodiment is a large-scale collaborative initiative led by Google DeepMind to unify robotic learning datasets into a consistent and standardized format, simplifying access and usage across the robotics research community. Its primary goal is to make all available open-source robotic data interoperable by representing them using the RLDS (Reinforcement Learning Dataset Structure) episode format. This enables seamless integration for training, evaluation, and model development across... -
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Gradle IntelliJ Plugin
Gradle plugin for building plugins for IntelliJ-based IDEs
...If needed, the IntelliJ IDEA Gradle plugin downloads the version of Gradle specified in this file. The IDE Plugin generator automatically creates the Run Plugin run configuration that can be executed via the Run | Run... action or can be found in the Gradle tool window under the Run Configurations node. To execute the Gradle runIde task directly, open the Gradle tool window and search for the runIde task under the Tasks node. If it's not on the list, hit the re-import button in the toolbar at the top of the Gradle tool window. -
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ytt
YAML templating tool that works on YAML structure instead of text
Template and patch as needed to easily make your configuration reusable and extensible. Works with your own and third-party YAML configuration. ytt templates are plain YAML documents made from nodes such as maps and arrays. ytt allows you to set values and attach statements (such as if and for loops) on those nodes. This eliminates text insertion concerns like manual escaping and allows for easy structure reuse, thus, increasing readability. Weave ytt templating into your own configuration,... -
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Apache Druid
A high performance real-time analytics database
Druid is designed for workflows where fast ad-hoc analytics, instant data visibility, or supporting high concurrency is important. As such, Druid is often used to power UIs where an interactive, consistent user experience is desired. Druid streams data from message buses such as Kafka, and Amazon Kinesis, and batch load files from data lakes such as HDFS, and Amazon S3. Druid supports most popular file formats for structured and semi-structured data. Druid has been benchmarked to greatly... -
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Daptin
Daptin - Backend As A Service - GraphQL/JSON-API Headless CMS
Take the API overhead out of your brain with Daptin. Complete granular access to your data over the network. A single binary to power up your application. Database-backed persistence, 3NF normalized tables. JSON API/GraphQL for CRUD apis. User and group management and access control. Social login with OAuth: tested with google, github, LinkedIn. Actions for abstracting out business flows. Extensive state tracking APIs. Enable Data Auditing from a single toggle. Synchronous Data Exchange with... -
9
Junie
An AI coding agent by JetBrains that ships code from your terminal
Junie is an AI coding agent from JetBrains designed to help developers build, review, and ship code from the terminal, IDE, or CI/CD pipeline. It allows users to give development tasks in natural language, such as fixing bugs, implementing features, reviewing pull requests, or improving tests. Junie is LLM-agnostic, meaning it can work with different model providers, including JetBrains authentication, Junie API keys, or bring-your-own-key options. The tool integrates with real-world... -
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10
Android Use
Automate native Android apps with AI using accessibility APIs
android-action-kernel is an open source Python library designed to let AI agents control and automate native Android applications running on real devices or emulators. It fills a gap in automation tooling by focusing on mobile-first workflows where traditional browser or desktop-based automation doesn’t work; such as logistics, gig work, field operations, and other industries reliant on phones or tablets. -
11
Catalyst.jl
Chemical reaction network and systems biology interface
...Leveraging ModelingToolkit and Symbolics.jl, Catalyst enables large-scale simulations through auto-vectorization and parallelism. Symbolic ReactionSystems can be used to generate ModelingToolkit-based models, allowing the easy simulation and parameter estimation of mass action ODE models, Chemical Langevin SDE models, stochastic chemical kinetics jump process models, and more. Generated models can be used with solvers throughout the broader SciML ecosystem, including higher-level SciML packages (e.g. for sensitivity analysis, parameter estimation, machine learning applications, etc). -
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Claude SEO
Universal SEO skill for Claude Code
...It combines 25 sub-skills and 18 specialist agents across technical SEO, content quality, Schema.org markup, GEO and AEO, local SEO, e-commerce, international SEO, backlinks, semantic clustering, and Google API workflows. The system is designed to produce prioritized action plans instead of generic audit notes. Recommendations include first-principle observations, dependency relationships, falsifiability checks, and leading indicators. It can run full site audits, single-page reviews, schema validation, AI search readiness checks, sitemap workflows, local SEO analysis, and SEO reporting. Claude SEO is useful for agencies, in-house teams, and consultants who want repeatable SEO audits inside Claude Code. -
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Keep Codex Fast
A backup-first Codex skill for keeping local Codex state fast
...It is designed for users whose Codex environment has accumulated long chats, logs, worktrees, project history, and local metadata over time. The project emphasizes inspection before action, so its default mode reports what has grown without changing files. When applied manually, it backs up first, archives old sessions, rotates large logs, moves stale worktrees, and prunes dead references instead of deleting important state. It also includes an optional repair path for oversized thread title and preview metadata. Its main value is helping users preserve continuity through handoff documents while reducing local drag in Codex. -
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ClawSweeper
ClawSweeper scans all issues and PRs
ClawSweeper is an AI-assisted maintenance bot that scans GitHub issues and pull requests to suggest which items may be safe to close. It is designed for open-source maintainers who accumulate stale discussions, outdated reports, duplicate requests, or abandoned contributions over time. The project runs across issues and PRs on a scheduled basis, reviewing each item and producing a reasoned recommendation instead of simply closing content automatically. Its goal is to reduce maintainer... -
15
Amurex
World's first AI meeting copilot
...The system leverages advanced AI to generate live suggestions during meetings, helping participants respond more effectively and stay aligned with discussion goals. It also captures full transcripts and automatically produces structured summaries, key takeaways, and action items, reducing the need for manual note-taking. Amurex includes features such as late-join recaps and automated follow-up email generation, ensuring that users can stay informed and maintain continuity even when joining meetings late or managing multiple conversations. -
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Autonomous Agents
Autonomous Agents (LLMs) research papers. Updated Daily
Autonomous-Agents is a research-focused repository that collects implementations, experiments, and academic resources related to autonomous multi-agent systems and intelligent robotics. The project explores how multiple agents can cooperate and interact with complex environments through machine learning, imitation learning, and multimodal sensing. It includes frameworks that integrate visual perception, tactile sensing, and spatial reasoning to guide the actions of robotic agents during... -
17
Integuru v0
The first AI agent that builds permissionless integrations
...Developers capture browser requests and authentication data, which the agent then uses to infer the structure of the platform’s internal API endpoints. Based on this information, the system generates executable code that can replicate the original action programmatically. This approach allows developers to automate workflows and build integrations with services that do not provide official APIs or developer tools. The project is designed as a research platform for exploring AI-driven automation and integration generation. -
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runprompt
Run LLM prompts from your shell
runprompt is an interactive command launcher and prompt utility that lets users bind shell commands, scripts, and workflows to quick keyboard shortcuts or natural-language queries, helping streamline repetitive terminal tasks and boost developer productivity. It functions as a lightweight, launcher-centric interface where you can type a phrase, partial command, or alias and have RunPrompt suggest or execute relevant actions instantly, reducing the need to memorize long commands or navigate... -
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Substrate
An Open-source Framework for Human Understanding, Meaning, Progress
...The goal is to enable communities to collectively build and maintain a repository of these objects so that complex systems of meaning and progress can be mapped, analyzed and improved. It is relatively ambitious in scope—seeking to help humanity organise knowledge and action around matters that matter rather than purely technical concerns. The project invites crowdsourced contribution and is structured as modular lists of object types that can interlink and form larger networks of thought. While still early, it reflects a philosophical stance: that in order to progress we must first clarify the objects and relations of meaning, belief, and decision. -
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Telos
Telos is an open-sourced framework for creating Deep Context
Telos is an open-sourced framework designed to help individuals, organisations, or even planetary-scale entities articulate what they are about and how they intend to pursue their purpose. It encourages capturing a “context file” that outlines mission, goals, problems, strategies, KPIs, and other core components of meaningful work. The project emphasises creating deep context about matters that humans care about, making underlying intentions explicit rather than implicit. It is structured so... -
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scalafmt
Code formatter for Scala
...Run scalafmt from your editor, build tool or terminal. Scalafmt has integrations with IntelliJ, sbt, Maven, Gradle and Mill. Choose the scalafmt formatter and IntelliJ's Reformat Code action will then use Scalafmt when formatting files. Scalafmt is primarily designed to operate on entire text files—formatting selected ranges of code may produce undesirable results. For this reason, IntelliJ uses its own formatter for ranges by default. It is not recommended to change this, and is instead recommended to format files when saving. -
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APITable
APITable, an API-oriented low-code platform for building apps
...One-click, auto-generated, and extremely user-friendly Form. Full-stack API access, from Data to Metadata. Have APITable forever free and code on it to suit your own needs. Configure custom trigger-action workflows directly to save time from repetitive tasks. Link unlimited tables on a single page without creating "Base/App". Extend your APITable without limits with the customizable widget, dashboard, automated bots, and more. -
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django-push-notifications
Send push notifications to mobile devices through GCM or APNS
...The app also implements an admin panel, through which you can test single and bulk notifications. Select one or more FCM/GCM, APNS, WNS or WebPush devices and in the action dropdown, select "Send test message" or "Send test message in bulk", accordingly. Note that sending a non-bulk test message to more than one device will just iterate over the devices and send multiple single messages. UPDATE_ON_DUPLICATE_REG_ID: Transform create of an existing Device (based on registration id) into an update. Sending messages in bulk makes use of the bulk mechanics offered by GCM and APNS. ... -
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vscode-pull-request-github
GitHub Pull Requests for Visual Studio Code
...Listing and browsing issues from within VS Code. Hover cards for "@" mentioned users and for issues. Completion suggestions for users and issues. A "Start working on issue" action which can create a branch for you. Code actions to create issues from "todo" comments. -
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GRR
GRR Rapid Response, remote live forensics for incident response
...GRR client is deployed on systems that one might want to investigate. On every such system, once deployed, GRR client periodically polls GRR frontend servers for work. “Work” means running a specific action, downloading file, listing a directory, etc. GRR server infrastructure consists of several components (frontends, workers, UI servers, fleetspeak) and provides a web-based graphical user interface and an API endpoint that allows analysts to schedule actions on clients and view and process collected data.
