Search Results for "information system" - Page 8
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Showing 8558 open source projects for "information system"
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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.
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Lossless Claw
LCM (Lossless Context Management) plugin for OpenClaw
...Instead of relying on traditional sliding-window truncation or lossy summarization, it introduces a lossless architecture that preserves all historical messages while maintaining usable context within token limits. The system stores every interaction in a persistent database and incrementally summarizes older content into a hierarchical directed acyclic graph, allowing efficient compression without discarding information. This structure enables agents to dynamically reconstruct detailed context by expanding summaries when needed, effectively simulating perfect long-term memory. -
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skycaiji
Open source web scraping system for automated data collection tasks
SkyCaiji is an open source web scraping and data collection system designed to gather information from websites through configurable extraction rules. It focuses on simplifying the process of building crawlers by allowing users to visually define scraping rules rather than writing complex code. It can collect structured or unstructured data from many types of webpages and automate the extraction process for large datasets. -
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AWS IoT Device Shadow library
Client library for using AWS IoT Shadow service on embedded devices
The AWS IoT Device Shadow library enables you to store and retrieve the current state (the “shadow”) of every registered device. The device’s shadow is a persistent, virtual representation of your device that you can interact with from AWS IoT Core even if the device is offline. The device state is captured as its “shadow” within a JSON document. The device can send commands over MQTT to get, update and delete its latest state as well as receive notifications over MQTT about changes in its... -
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System Resource Monitor
SRM a lightweight desktop app for real-time CPU and Memory monitoring.
System Resource Monitor is a lightweight, Python-based desktop application designed for real-time monitoring of CPU and Memory performance. Built with Tkinter for the GUI, Matplotlib for dynamic graphing, and Plyer for cross-platform desktop notifications, this tool empowers users to keep track of CPU and memory usage efficiently. With customizable update intervals, data exporting capabilities, and built-in alerts for resource spikes, System Resource Monitor is perfect for anyone looking to... -
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Claw Compactor
14-stage Fusion Pipeline for LLM token compression
Claw Compactor is a utility designed to optimize and manage the context limitations inherent in AI agent systems, particularly those built on OpenClaw-like architectures. It addresses the challenge of finite context windows in language models by compressing or summarizing historical interactions while preserving essential information. The system works by transforming older conversation data into condensed representations that maintain continuity without exceeding token limits. This approach allows long-running agent sessions to continue operating efficiently without losing critical context. It is especially useful in autonomous workflows where agents accumulate large volumes of interaction history over time. ... -
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uqlm
Uncertainty Quantification for Language Models, is a Python package
UQLM is a Python library developed to detect hallucinations and quantify uncertainty in the outputs of large language models. The system implements a variety of uncertainty quantification techniques that assign confidence scores to model responses. These scores help developers determine how likely a generated answer is to contain errors or fabricated information. The library includes both black-box and white-box approaches to uncertainty estimation. Black-box methods evaluate model outputs through multiple generations or comparative analysis, while white-box methods rely on token probabilities produced during inference. ... -
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PeterCat
A conversational Q&A agent configuration system
PeterCat is an open-source conversational agent framework designed to create automated question-and-answer assistants for GitHub repositories and technical projects. The system allows developers to build AI-powered bots that understand project documentation, GitHub issues, and other repository content in order to answer questions from users or contributors. By simply providing the repository name or URL, the platform can automatically collect relevant project information and construct a knowledge base that the agent uses to respond to inquiries. ... -
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Amazon CloudWatch Agent
CloudWatch Agent enables you to collect and export host-level metrics
CloudWatch Agent enables you to collect and export host-level metrics and logs on instances running Linux or Windows server. The Amazon CloudWatch Agent is software developed for the CloudWatch Agent. Collect more system-level metrics from Amazon EC2 instances across operating systems. The metrics can include in-guest metrics, in addition to the metrics for EC2 instances. The additional metrics that can be collected are listed in Metrics Collected by the CloudWatch Agent. Collect... -
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GitHub Markup
Determines which markup library to use to render a content file
This library is the first step of a journey that every markup file in a repository goes on before it is rendered on GitHub.com. GitHub-markup selects an underlying library to convert the raw markup to HTML. See the list of supported markup formats provided. The HTML is sanitized, aggressively removing things that could harm you and your kin—such as script tags, inline-styles, and class or id attributes. Syntax highlighting is performed on code blocks. See github/linguist for more information... -
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Open Multi-Agent
One runTeam() call from goal to result
...It focuses on distributing responsibilities across specialized agents, each handling a specific part of a problem, such as planning, execution, or validation. The system emphasizes modularity, allowing developers to define agent roles, communication protocols, and workflows. It supports iterative collaboration, where agents exchange information and refine outputs collectively. The architecture is designed to be extensible, enabling integration with external tools and APIs to expand agent capabilities. ... -
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Stoat
The software powering Stoat
Stoat is an open-source communication platform and ecosystem designed to provide a modern alternative to traditional chat applications with support for self-hosting and extensibility. The project includes multiple components such as backend services, client applications, and supporting infrastructure, forming a complete messaging system that can be deployed across different environments. The repository for stoat.chat specifically serves as a central web hub that provides access to downloads, documentation, and information about the platform. StoatChat is built with modern technologies such as Rust and TypeScript and integrates with systems like Revolt to deliver real-time messaging capabilities. ... -
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kubectl-neat
Clean up Kubernetes yaml and json output to make it readable
Remove clutter from Kubernetes manifests to make them more readable. -
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Scope Sentry
Cyberspace asset mapping and vulnerability scanning platform
ScopeSentry is an open source cybersecurity tool designed for cyberspace asset mapping and automated security analysis. It helps security researchers and penetration testers discover, monitor, and analyze internet-facing assets belonging to a target scope. ScopeSentry combines multiple reconnaissance and vulnerability assessment capabilities such as subdomain enumeration, port scanning, directory scanning, and sensitive information detection. ScopeSentry can automatically identify assets and... -
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DocsGPT
Private AI platform for agents, enterprise search and RAG pipelines
DocsGPT is an open-source AI platform for deploying private RAG pipelines, AI agents, and enterprise search on your own infrastructure. Connect any data source (PDFs, DOCX, CSV, Excel, HTML, audio, GitHub, databases, URLs) and get accurate, hallucination-free answers with source citations. Choose your LLM: OpenAI, Anthropic, Google Gemini, or local models. Works with Qdrant, MongoDB, and Elasticsearch and more. Deploy via Docker or Kubernetes with full data sovereignty. Build... -
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AgenticSeek
Fully Local Manus AI. No APIs, No $200 monthly bills
AgenticSeek is a fully local autonomous AI assistant designed as a privacy-focused alternative to cloud-based agent platforms. It runs entirely on the user’s hardware and can autonomously browse the web, write code, and plan multi-step tasks without sending data to external services. The system is optimized for local reasoning models and emphasizes zero cloud dependency to maintain full user control. AgenticSeek includes intelligent agent selection, allowing it to determine the best internal agent to handle a given request. It also supports hands-free workflows such as automated web form interaction and information extraction. ... -
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Actual Budget
Fast, privacy-focused personal finance app
Actual Budget is a fast, privacy-focused personal finance app built around the proven envelope budgeting methodology. It keeps you in control of your money with tools designed to help you make thoughtful financial decisions rather than relying on automated guesswork. The app is fully local-first, meaning it works offline and syncs quietly across your devices without ever compromising ownership of your data. Optional end-to-end encryption ensures your financial information stays private, even... -
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MiniSearch
Minimalist web-searching platform with an AI assistant
MiniSearch is a minimalist web search application with a built-in AI assistant that runs largely inside the browser for privacy-focused information retrieval. The project combines metasearch capabilities with local or remote language model inference to provide conversational answers alongside traditional search results. It is designed to be lightweight, easy to deploy with Docker, and configurable for both personal and hosted use cases. The platform supports browser-level integration so... -
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AWS IoT Device SDK for C++ v2
Next generation AWS IoT Client SDK for C++ using AWS Common Runtime
Next-generation AWS IoT Client SDK for C++ using the AWS common runtime. This document provides information about the AWS IoT device SDK for C++ V2. If you have any issues or feature requests, please file an issue or pull request. This SDK is built on the AWS Common Runtime, a collection of libraries (AWS-c-common, aws-c-io, aws-c-mqtt, aws-c-http, aws-c-cal, aws-c-auth, s2n...) written in C to be cross-platform, high-performance, secure, and reliable. The libraries are bound to C++ by the... -
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Neuro SAN Studio
A playground for neuro-san
...It supports advanced orchestration through decentralized communication protocols, allowing agents to dynamically delegate tasks and adapt to changing requirements. The system also includes mechanisms for secure data handling, ensuring sensitive information is not exposed directly to language models. Neuro SAN Studio offers built-in examples, tutorials, and debugging tools, which help users quickly prototype and refine multi-agent workflows. -
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RedAmon
AI-powered framework for automated penetration testing and red teaming
...It combines artificial intelligence with traditional penetration testing tools to create a fully autonomous pipeline capable of discovering vulnerabilities and executing security assessments without human intervention. It begins with a multi-phase reconnaissance engine that maps the entire attack surface of a target, collecting information such as subdomains, open ports, services, and potential vulnerabilities. RedAmon then uses an AI agent orchestrator to analyze this data, select appropriate tools, and perform exploitation steps such as credential brute forcing or CVE-based attacks. All discovered assets, relationships, and vulnerabilities are stored in a Neo4j knowledge graph, allowing the system to reason about the environment and make informed decisions during the attack process. -
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Argus
Python toolkit for OSINT and reconnaissance with 135+ modules
Argus is a Python-based open source toolkit designed to simplify information gathering and reconnaissance tasks in cybersecurity. It provides an integrated command-line environment that consolidates numerous reconnaissance utilities into a single framework. The tool enables users to collect data about networks, domains, web applications, and infrastructure in an organized and efficient manner. Argus includes a modular architecture with more than 130 modules that support activities such as... -
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Context Mode
Context window optimization for AI coding agents
Context Mode is a development approach and tooling concept that enhances how AI-assisted coding environments manage and inject context into language model interactions. It focuses on improving the relevance and accuracy of AI-generated outputs by controlling what information is provided to the model at each step. The project explores structured context management, enabling developers to define how files, code snippets, and metadata are included in prompts. It is particularly useful for large codebases, where naive context inclusion can lead to inefficiency or irrelevant outputs. The system encourages modular and selective context injection, improving both performance and cost efficiency. ... -
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mgmt
Next generation distributed, event-driven, parallel config management!
...For example, the following code will ensure that your file server is set to read-only when it's Friday. It can run continuously, intermittently, or on demand, and in the first case, it will guarantee that your system is always in the desired state for that instant! In this mode it can run as a decentralized cluster of agents across your network, each exchanging information with the others in real-time, to respond to your changing needs. Mgmt is a next-generation automation tool. It has similarities to other tools in the configuration management space but has a fast, modern, distributed systems approach. ... -
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UglifyJS 3
JavaScript parser, mangler, compressor, beautifier toolkit
UglifyJS is a JavaScript compressor/minifier written in JavaScript. It also contains tools that allow one to automate working with JavaScript code. A parser which produces an abstract syntax tree (AST) from JavaScript code. A code generator which outputs JavaScript code from an AST, also providing the option to get a source map. A compressor (optimizer). it uses the transformer API to optimize an AST into a smaller one. A mangler, reduce names of local variables to (usually) single-letters.... -
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Kurrier
Workspace for email, calendar, contacts and storage
Kurrier is a self-hosted, open-source workspace that brings email, calendars, contacts, and file storage into a single modern web interface while keeping your data under your control. It’s designed to sit on top of standard protocols and services rather than replacing them, connecting to mail providers through IMAP/SMTP and supporting outbound delivery options such as SES or popular transactional email providers. For personal information management, Kurrier syncs calendars via CalDAV and...
