Search Results for "retrieve data" - Page 3
Sort By:
Showing 261 open source projects for "retrieve data"
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.
-
MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
-
1
Director
AI video agents framework for next-gen video interactions
Director is a video database management system designed to organize, search, and retrieve large collections of video content efficiently. -
2
OpenClaw Medical Skills
The largest open-source medical AI skills library for OpenClaw
...This modular design allows developers and researchers to build AI systems that can access specialized medical reasoning processes, retrieve relevant biomedical information, and generate structured outputs suitable for analysis or downstream processing. -
3
news-please
Python tool for crawling and extracting structured data from news site
news-please is an open source news crawler and information extraction tool designed to collect and structure articles from online news websites. It provides an integrated pipeline that crawls news sites, retrieves article pages, and extracts structured information such as headlines, authors, publication dates, and article text. news-please can recursively follow internal links and read RSS feeds to gather both recent and archived articles from a news outlet when given only the root URL of a... -
4
Amazon EC2 Metadata Mock
A tool to simulate Amazon EC2 instance metadata
...You can build generic AMIs and use user data to modify the configuration files supplied at launch time. For example, if you run web servers for various small businesses, they can all use the same generic AMI and retrieve their content from the Amazon S3 bucket that you specify in the user data at launch. To add a new customer at any time, create a bucket for the customer, add their content, and launch your AMI with the unique bucket name provided to your code in the user data. ... -
Atera - an All-in-one platform for IT managementYour IT essentials, integrated & elevated. Take your IT management from automated to autonomous, download Atera's agent to start your free trial!
-
5
Sanity
Rapidly configure content workspaces powered by structured content
...Instead of using predefined content templates, Sanity allows developers to define schemas in code that determine how content is structured and stored. The platform stores data in a real-time backend called the Content Lake, enabling collaborative editing and instant updates across connected applications. Because the system separates content management from presentation, developers can use any front-end framework to display the data. Sanity also includes APIs and query tools that allow developers to retrieve content dynamically and integrate it into websites, mobile apps, and other digital services. -
6
peewee
A small, expressive orm, which supports postgresql, mysql and sqlite
...You can override the default name by specifying a table_name attribute in the inner “Meta” class (alongside the database attribute). To learn more about how Peewee generates table names, refer to the Table Names section. There are lots of field types suitable for storing various types of data. Peewee handles converting between pythonic values and those used by the database, so you can use Python types in your code without having to worry. The real strength of our database is in how it allows us to retrieve data through queries. Relational databases are excellent for making ad-hoc queries. Peewee provides a magical helper fn(), which can be used to call any SQL function. -
7
Kangaroo
Kangaroo is an AI-powered SQL client and admin tool for popular dbs
...It allows users to write, analyze, and optimize SQL queries using natural language assistance, making database operations more accessible and efficient. The tool is intended for developers, analysts, and data professionals who want to simplify complex query generation and debugging processes. It integrates with databases to provide context-aware suggestions, helping users understand schema structures and relationships. Kangaroo also supports conversational querying, enabling users to describe what they want to retrieve and receive corresponding SQL queries. ... -
8
civitai
Open platform for sharing and discovering Stable Diffusion models
Civitai is an open source project that provides the codebase for a platform designed to share and manage generative AI models used for image generation. It focuses primarily on models compatible with Stable Diffusion and related technologies, allowing creators to upload, organize, and distribute custom AI models and related resources. These resources can include textual inversions, hypernetworks, aesthetic gradients, and variational autoencoders that modify or extend the capabilities of... -
9
Paperclip
Open-source orchestration for zero-human companies
Paperclip is an open-source tool designed to help AI systems and developer tools access academic research papers through a standardized interface. The project implements a server based on the Model Context Protocol (MCP), a framework that allows large language models and AI agents to connect to external data sources and tools in a consistent way. By acting as a middleware layer, Paperclip aggregates multiple academic databases and exposes them through a single interface, allowing AI applications to search and retrieve scholarly papers without needing to integrate with each provider individually. The system supports repositories such as arXiv, OpenAlex, and the Open Science Framework, giving AI agents access to a large body of research literature. ... -
Build Agents and Models on One PlatformGemini Enterprise Agent Platform is Google Cloud's comprehensive platform for developers to build, scale, govern, and optimize agents and models. Choose from Google's most advanced models and third-party models like Anthropic's Claude Model Family.
-
10
blockfrost-python
Python 3 SDK for the Blockfrost.io API
API for Cardano decentralized blockchain. Accessing and processing information stored on the blockchain is not trivial. We provide abstraction between you and blockchain data, taking away the burden of complexity, so you can focus on what really matters - developing your applications. Our basic tier is and always will be free of charge. We nurture development and the Cardano ecosystem. However, if you want to support us, please consider upgrading. -
11
pi-autoresearch
Autonomous experiment loop extension for pi
...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 insights. Its architecture suggests a focus on autonomy, allowing it to run multi-step research pipelines that mimic human investigative processes. This makes it particularly useful for exploratory analysis, trend discovery, or generating structured knowledge from large information spaces. ... -
12
Craft Agents
Work effectively with agents
...This repository extends the idea of “agents” by providing a user-friendly interface that integrates APIs, multitasking workflows, and session sharing so that you can easily orchestrate multiple AI interactions and retrieve context from your sources. With support for document connectivity and API integrations, it lets users supply their own data and tools into the agent workflows, enabling personalized automation and insight discovery. The project emphasizes flexibility and usability, surfacing key agent functionality through a responsive interface that works on major desktop platforms, including macOS, Windows, and Linux. -
13
MCP Server Giphy
An implementation of Giphy integration with Model Context Protocol
The MCP Server Giphy is a Model Context Protocol (MCP) server that enables AI models to search, retrieve, and utilize GIFs from the Giphy platform. It facilitates seamless integration of Giphy's vast GIF library into AI applications, enhancing their expressive capabilities. -
14
OpenMemory
Local long-term memory engine for AI apps with persistent storage
OpenMemory is a self-hosted memory engine designed to provide long-term, persistent storage for AI and LLM-powered applications. It enables developers to give otherwise stateless models a structured memory layer that can store, retrieve, and manage contextual information over time. OpenMemory is built around a hierarchical memory architecture that organizes data into semantic sectors and connects them through a graph-based structure for efficient retrieval. It supports multiple embedding strategies, including synthetic and semantic embeddings, allowing developers to balance speed and accuracy depending on their use case. ... -
15
PHP Enum
PHP Enum
The myclabs/php-enum library is a PHP package that provides an object-oriented approach to implementing enumerations, inspired by the SPL's SplEnum. Before PHP 8.1 introduced native enum support, this library offered a structured way to define and use enumerated types, enhancing code readability and type safety. By extending the base Enum class, developers can create enums with defined constants, ensuring that variables only hold valid, predefined values. This approach helps prevent errors... -
16
rest.js
GitHub REST API client for JavaScript
GitHub REST API client for JavaScript. Import the Octokit constructor based on your platform. Instantiate your octokit API. All options are optional, but authentication is strongly encouraged. API Previews can be enabled globally by setting the previews option. They can be set per-request as well. A default time zone can be enabled by setting the timeZone option. In order to use Octokit with GitHub Enterprise, set the baseUrl option. Most of GitHub’s REST API endpoints have matching methods.... -
17
Django REST framework
Powerful and flexible toolkit for building Web APIs
Django REST framework is a powerful and flexible toolkit for building Web APIs. Some reasons you might want to use REST framework: The Web browsable API is a huge usability win for your developers. Authentication policies including packages for OAuth1a and OAuth2. Serialization that supports both ORM and non-ORM data sources. Customizable all the way down - just use regular function-based views if you don't need the more powerful features. Extensive documentation, and great community... -
18
Khoj
An AI personal assistant for your digital brain
Get more done with your open-source AI personal assistant. Khoj is a desktop application to search and chat with your notes, documents, and images. It is an offline-first, open-source AI personal assistant that is accessible from Emacs, Obsidian or your Web browser. Khoj is a thinking tool that is transparent, fun, and easy to engage with. You can build faster and better by using Khoj to search and reason across all your data sources. Khoj learns from your notes and documents to function as... -
19
rag-search
RAG Search API
...Its architecture is modular, separating handlers, services, and utilities to support customization and extension. Overall, rag-search serves as a practical starter backend for teams building AI search or question-answering applications on their own data. -
20
CoreFreq
CPU monitoring and tuning software designed for the 64-bit processors
CoreFreq is a low-level CPU monitoring and tuning tool for 64-bit processors. It is designed to retrieve processor data with a high degree of precision and expose details that are often hidden from simpler monitoring utilities. The project supports a wide range of processor families, including Intel, AMD, Arm A64, RISC-V RV64, and PowerPC64 little-endian systems. It provides BIOS-like visibility into CPU behavior, including frequencies, ratios, topology, temperatures, power, and performance counters. ... -
21
agent heroes
Generate, animate and schedule your AI characters
...It provides abstractions for defining agent behavior, communication patterns, and task execution pipelines, enabling developers to build systems that go beyond simple prompt-response interactions. The framework is designed to integrate with modern large language models and external APIs, allowing agents to access tools, retrieve data, and perform actions dynamically. It also supports modular design, making it possible to extend agent capabilities or swap components without redesigning the entire system. agentheroes is particularly useful for automation, workflow orchestration, and experimentation with collaborative AI systems. -
22
Basic Memory
Persistent AI memory using local Markdown knowledge graphs
...It uses the Model Context Protocol (MCP) so compatible AI tools can access, update, and build on your notes across sessions. Basic Memory creates a semantic knowledge graph by linking related ideas, making it easier to retrieve, expand, and connect information over time. With a local-first design, your data stays private and portable, while optional cloud sync enables cross-device access. It combines simplicity with powerful indexing and search, giving you a flexible way to build long-term memory for projects, research, and workflows. -
23
JamAI Base
The collaborative spreadsheet for AI
JamAI Base is an open-source backend platform designed to simplify the development of retrieval-augmented generation systems and AI-driven applications. The platform integrates both a relational database and a vector database into a single embedded architecture, allowing developers to store structured data alongside semantic embeddings. It includes built-in orchestration for large language models, vector search, and reranking pipelines so that AI applications can retrieve relevant information before generating responses. JamAI Base exposes its functionality through a simple REST API and a spreadsheet-style interface that allows users to manage AI workflows visually. ... -
24
Slack MCP Server
The most powerful MCP Slack Server with no permission requirements
Slack MCP Server is an open-source server implementation that connects Slack workspaces to AI systems through the Model Context Protocol (MCP). MCP is a standardized protocol that allows large language models and AI agents to securely interact with external tools and data sources such as messaging platforms, databases, or file systems. The slack-mcp-server acts as an intermediary layer that exposes Slack data and messaging functionality to AI clients while enforcing access rules and communication standards. Through this architecture, AI assistants can read message histories, interact with channels, and retrieve contextual information from Slack conversations in order to perform tasks such as automated analysis, collaboration assistance, or contextual code review. ... -
25
Deep Research Web UI
AI-powered research assistant that performs iterative, deep research
Deep Research Web UI is an AI-powered research assistant interface designed to automate complex, multi-step information gathering workflows through a combination of search engines, web scraping, and large language models. It operates as a front-end system for deep research agents that iteratively refine queries, retrieve information from multiple sources, and synthesize structured outputs into coherent reports. The platform emphasizes long-horizon reasoning, allowing users to explore topics in depth rather than receiving shallow, single-response answers. Built with modern web technologies such as Vue and TypeScript, it provides a responsive interface for managing research sessions, tracking intermediate steps, and reviewing collected data. ...
