Search Results for "web based system" - Page 6
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Showing 1433 open source projects for "web based system"
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Sinas
Open-source platform for building AI agents and serverless automation
...It provides a self-hosted backend where developers can configure agents, connect LLM providers, write Python functions, and trigger workflows through webhooks or schedules. The platform supports isolated container execution for functions, which helps separate automation logic from the rest of the system. It also includes reusable skills, state stores, document collections, database connections, and embeddable UI components. Sinas can be managed through a web console or declarative YAML configuration, making it suitable for both interactive administration and GitOps-style workflows. Its main value is combining agents, functions, permissions, storage, and automation into one self-hosted AI application platform. -
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PandaWiki
AI-powered open source platform for building intelligent wiki bases
...AI capabilities are integrated to assist with content creation, intelligent question answering, and semantic search, helping users find information more efficiently within stored documentation. PandaWiki also supports importing knowledge from different external sources such as web pages, RSS feeds, sitemaps, and offline files to quickly populate documentation collections. -
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QM
Multiplayer agent harness for work
QM is an open-source multiplayer agent harness designed for startup teams and company-wide AI work. Each person, channel, and project receives its own scoped memory, files, credentials, permissions, schedules, web apps, and durable sandbox. The same agent identity and configuration can operate through Slack or the web interface. Teams can choose among supported models and harnesses, including Pi, OpenCode, Codex, and Claude Code, without binding the deployment to one vendor. Administrators... -
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BrowserNode
Make websites accessible for AI agents. Automate tasks online
...The system integrates with Playwright to control Chromium-based browsers and execute automation scripts in a reliable environment. Developers can configure the framework to connect to different language model providers so that AI agents can interpret instructions and decide which browser actions to perform. -
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Huginn
Create agents that monitor and act on your behalf
Huginn is an open-source system for building agents that perform automated tasks by monitoring websites, APIs, emails, and more. Inspired by IFTTT, Huginn lets users create complex workflows and conditional logic to react to events and manage data. It’s self-hosted, highly customizable, and suitable for developers who want full control over automation without relying on third-party platforms. -
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Nanobrowser
Open-Source Chrome extension for AI-powered web automation
Nanobrowser is an open-source AI web automation tool that runs in your browser. A free alternative to OpenAI Operator with flexible LLM options and a multi-agent system. Nanobrowser, as a chrome extension, delivers premium web automation capabilities while keeping you in complete control. No subscription fees or hidden costs. Just install and use your own API keys, and you only pay what you use with your own API keys. -
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Wigolo
The go-to web for your AI coding agent
Wigolo is a local-first web intelligence system built for AI agents and coding assistants. It exposes search, fetching, crawling, extraction, research, monitoring, and autonomous gathering through MCP, REST, command-line tools, and SDKs. Its search engine combines results from multiple adapters using rank fusion, local reranking, and explainable evidence scores. -
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Multica
The open-source managed agents platform
...It introduces a paradigm where agents can be assigned tasks, participate in discussions, and autonomously execute work while reporting progress and blockers in real time. The system integrates with multiple AI coding tools and provides a unified interface for managing tasks, compute environments, and agent execution pipelines. It includes both a web interface and a CLI that connects local or cloud-based runtimes to the platform, enabling flexible deployment and scaling. Multica emphasizes collaboration between humans and AI by allowing agents to operate alongside developers in shared workspaces. ... -
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nanobot
🐈 nanobot: The Ultra-Lightweight Clawdbot / OpenClaw
nanobot is an ultra-lightweight personal AI assistant designed to deliver powerful agent capabilities without unnecessary complexity. Built in just ~4,000 lines of clean, readable code, it offers a minimalist alternative to heavyweight agent frameworks while retaining core intelligence and extensibility. nanobot is optimized for speed and efficiency, enabling fast startup times and low resource usage across environments. Its research-ready architecture makes it easy for developers to... -
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Memvid
Video-based AI memory library. Store millions of text chunks in MP4
Memvid encodes text chunks as QR codes within MP4 frames to build a portable “video memory” for AI systems. This innovative approach uses standard video containers and offers millisecond-level semantic search across large corpora with dramatically less storage than vector DBs. It's self-contained—no DB needed—and supports features like PDF indexing, chat integration, and cloud dashboards. -
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opencode.nvim
Integrate the opencode AI assistant with Neovim
...It allows users to send prompts that automatically include relevant editor context such as the current buffer, selected text, diagnostics, and visible content, making AI interactions far more precise and useful during development. The plugin supports a prompt library system, allowing developers to reuse predefined prompts or create custom ones tailored to their workflows. It also enables direct execution of AI-driven actions, such as code modifications or command execution, while giving users full control to review, accept, or reject changes through diff-based interfaces. The system integrates with an in-process Language Server Protocol implementation, enabling familiar features like hover explanations and code actions powered by AI. -
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Hollama
A minimal LLM chat app that runs entirely in your browser
...The project provides a minimal but powerful user interface for communicating with local or remote LLMs, including servers powered by Ollama or OpenAI-compatible APIs. Because the application runs as a static web interface, it does not require complex backend infrastructure and can be easily deployed or self-hosted. Hollama supports both text-based and multimodal interactions, allowing users to work with models that process images as well as text. The interface includes features for editing prompts, retrying responses, copying generated code snippets, and storing conversation history locally within the browser. ... -
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Youtu-GraphRAG
Vertically Unified Agents for Graph Retrieval-Augmented Reasoning
Youtu-GraphRAG is a research framework developed by Tencent for performing complex reasoning using graph-based retrieval-augmented generation. The system combines knowledge graphs, retrieval mechanisms, and agent-based reasoning into a unified architecture designed to handle knowledge-intensive tasks. Instead of relying solely on text retrieval, the framework organizes information into structured graph schemas that represent entities, relationships, and attributes. ... -
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Monkey Code
Enterprise-grade AI programming assistant designed for R&D collab
...It goes beyond traditional AI coding tools by combining intelligent code generation, conversational programming, and automated DevOps-style workflows into a unified platform that integrates directly with Git-based repositories. One of its defining characteristics is its support for private deployment and fully offline operation, which makes it especially suitable for organizations with strict data privacy or security requirements. The system includes a comprehensive management panel that allows teams to audit, monitor, and control how AI participates in coding workflows, ensuring accountability and governance at scale. ... -
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QAnything
Question and Answer based on Anything
QAnything is a local knowledge-base question-answering system designed to let users ask questions over many kinds of files and databases. It supports offline installation, making it useful for organizations that need private document analysis without sending data to external services. Users can upload local files and receive fast, reliable answers based on the indexed content. The system supports formats such as PDF, Word, PowerPoint, Excel, Markdown, email, text, images, CSV, and web links. ... -
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TrustClaw
A self-hostable personal AI agent with vector memory
TrustClaw is a self-hostable personal AI agent that connects conversational access, persistent memory, and external tool use into one assistant workflow. It is built for users who want their own AI agent rather than a fully hosted platform, making it easier to run, inspect, and adapt the system for personal or technical needs. The project uses vector memory so the assistant can retain and retrieve useful context across interactions. It also integrates Composio tools, giving the agent access to third-party actions and services through a broader tool ecosystem. Telegram support makes the assistant reachable from a familiar messaging interface instead of only through a terminal or web app. ... -
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multi-agent-shogun
Samurai-inspired multi-agent system for Claude Code
...The system then automatically distributes work among multiple worker agents, allowing tasks to run simultaneously rather than sequentially. The architecture uses tools such as tmux sessions and file-based message queues to coordinate communication between agents while maintaining parallel execution. Developers can monitor the progress of the agent swarm through dashboards that show the status of tasks and worker activity in real time. -
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Local-NotebookLM
Googles NotebookLM but local
Local-NotebookLM is a local AI tool for turning PDF documents into generated audio content. It works like a self-hosted alternative to NotebookLM-style document-to-audio workflows. The system extracts and processes PDF text, sends the content through an LLM, and converts the result into speech with configurable voices. Users can generate podcasts, summaries, interviews, lectures, debates, tutorials, news reports, executive briefs, and other formats. It supports multiple LLM providers, including local and hosted options, and can be used through a command-line workflow, API server, Docker setup, or web UI. ... -
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Hindsight
Hindsight: Agent Memory That Learns
...Instead of relying solely on vector similarity or basic retrieval techniques, Hindsight organizes information into distinct categories such as facts, experiences, beliefs, and observations, allowing agents to differentiate between raw data and inferred knowledge. The system operates through three core mechanisms—retain, recall, and reflect—which respectively handle storing information, retrieving relevant context, and generating new insights based on accumulated experience. -
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Agent Framework
Framework for building, orchestrating, and deploying AI agents
Microsoft Agent Framework is an open source framework designed to help developers build, orchestrate, and deploy AI agents and multi-agent systems. It provides a unified programming model that supports both Python and .NET implementations, allowing developers to create agent-driven applications in multiple programming environments. It includes tools and abstractions for constructing simple conversational agents as well as complex workflows where multiple agents collaborate to complete tasks.... -
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OpenKnowledge
Beautiful, AI-native markdown editor and LLM Wiki
OpenKnowledge is an AI-native Markdown editor and LLM wiki for knowledge bases, specs, notes, and agent-friendly documentation. It is designed to make Markdown editing feel closer to a visual document editor while still preserving file-based workflows. The app supports a macOS desktop experience as well as a local web and CLI workflow for other platforms. It includes file navigation, search, tabs, wiki graph viewing, rich components, embeddable HTML, and terminal-oriented access. It integrates with tools such as Claude, Codex, Cursor, MCP, and CLI-based agent harnesses so AI agents can work with the same knowledge base. ... -
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CubeSandbox
Instant, Concurrent, Secure & Lightweight Sandbox for AI Agents
CubeSandbox is a lightweight, high-performance sandboxing environment designed to securely run AI agents and untrusted code in isolated containers. Built in Rust, it focuses on enabling concurrent execution while maintaining strong isolation and low overhead. The system is optimized for scenarios where multiple AI agents need to execute tasks in parallel without compromising system integrity. It provides fast startup times and efficient resource management, making it suitable for large-scale... -
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HuixiangDou
Overcoming Group Chat Scenarios with LLM-based Technical Assistance
HuixiangDou is an open-source large language model assistant designed specifically for technical question answering in group chat environments. The project addresses a common problem in developer communities where discussion channels become overwhelmed by repeated or irrelevant questions. To solve this issue, HuixiangDou implements a multi-stage pipeline that analyzes incoming messages, filters irrelevant conversations, and selectively generates responses when the assistant determines it can... -
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Project NOMAD
Self-contained, offline survival computer with tools, knowledge, & AI
...(Node for Offline Media, Archives, and Data) is a self-contained, offline-first knowledge and education server designed to run on local hardware. It combines AI, educational resources, and critical information tools into a single platform accessible through a web browser. Built as a containerized system managed via Docker, it orchestrates multiple applications through a centralized “Command Center” interface. NOMAD enables users to access offline Wikipedia, AI chat, maps, courses, and data tools without relying on an internet connection after setup. It is particularly useful for remote environments, emergency preparedness, or privacy-focused deployments. ... -
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Datapizza AI
Build reliable Gen AI solutions without overhead
Datapizza AI is a lightweight framework for building modular, multi-agent AI systems that collaborate to solve complex tasks through orchestration and tool usage. The project focuses on simplicity and transparency, enabling developers to construct agent-based workflows without the heavy abstractions and dependencies often found in larger AI frameworks. It provides a flexible architecture where individual agents can be assigned specialized roles, such as web search, reasoning, or domain-specific expertise, and can communicate with each other to complete tasks collaboratively. The framework supports integration with external APIs and tools, allowing agents to perform actions like retrieving data, executing functions, or interacting with external services. ...
