Search Results for "multi agent simulation" - Page 6
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Showing 159 open source projects for "multi agent simulation"
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Ruler AI
Centralize and sync AI coding rules across tools and projects
Ruler is a CLI tool that centralizes instructions for AI coding assistants in one place. Instead of maintaining separate configuration files for tools like GitHub Copilot, Claude, or Cursor, it stores all rules in a single .ruler/ directory and distributes them automatically. This reduces duplication, avoids inconsistent outputs, and keeps guidance aligned as projects evolve. Ruler supports nested rule loading, allowing teams to define context-specific instructions for different parts of a... -
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GitHub Copilot SDK
Multi-platform SDK for integrating GitHub Copilot Agent into apps
The GitHub Copilot SDK is a developer toolkit that enables creators to build custom AI-assisted experiences powered by Copilot models within their own applications, editors, and workflows. Instead of being limited to editors like VS Code, this SDK lets teams embed Copilot-style code suggestions, natural language assistance, and predictive completions anywhere they see fit—such as internal IDEs, browser extensions, documentation portals, or bespoke tools tailored to specific languages or... -
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MCP Server Chart
A visualization mcp contains 25+ visual charts
...A simple CLI and environment variables control behavior, including disabling specific tools, selecting a visualization request service, or tagging a service instance for multi-tenant setups. The README documents private deployment, record generation, and tool filtering, giving teams a path from local experimentation to managed usage. -
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AIHOT
A website framework for finding hot topics and writing daily newspaper
AIHOT is a self-hosted framework for building AI-curated news and industry intelligence websites. It collects material from sources such as RSS feeds, websites, JSON APIs, social accounts, WeChat, and custom scripts. Incoming items are deduplicated, prefiltered, scored twice by language models, and selected according to configurable thresholds. The system writes summaries, titles, translations, tags, and recommendations before clustering related reports into shared events. Event popularity... -
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Model Context Protocol (MCP)
Specification and documentation for the Model Context Protocol
Model Context Protocol is an open protocol that standardizes how LLM applications connect to external data sources, tools, and runtime context. It separates the concern of providing context from the model interaction itself, allowing AI applications to access resources through a common interface. The project includes the specification, documentation, SDKs, maintained servers, and community infrastructure around the protocol. MCP is useful for AI-powered IDEs, chat systems, agent platforms,... -
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Composer API
OpenAI-compatible API proxy for Cursor Composer
...Its scope appears focused and lightweight rather than being a broad AI gateway or multi-provider orchestration platform. Composer API is best suited for technical users who understand Cursor-related workflows and want a programmable bridge into that environment. -
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Better Shot
An open-source alternative to CleanShot X for macOS
...Instead of relying on third-party screenshot APIs or browser extensions, it runs a local or server-deployed service that generates high-quality renders on demand, making it ideal for automated documentation, preview panes, social sharing cards, or visual regression tasks. Better-Shot can take full-page captures, custom viewport shots, or even multi-step snapshots that include dynamic content generated by JavaScript, ensuring accurate representation of modern web applications. It supports configuration options for resolution, user agent, cookies, and authentication, so you can tailor captures for staging, authenticated dashboards, or custom deployments. -
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Peta Core
Secure vault, managed runtime, audit trail, and policy-based approvals
...It typically encompasses core abstractions, protocols, and utilities that other modules in the PETA ecosystem can build upon, offering patterns for service discovery, messaging, workflow orchestration, and plugin integration. PETA-Core may include frameworks for managing agent lifecycles, standard interfaces for connectors, and support for consistent configuration across components, making it easier to assemble complex, multi-part applications with clear boundaries and reusable logic. The project’s core role is to reduce integration friction for developers by establishing conventions and shared libraries that accelerate development in distributed, AI-augmented contexts. -
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Surmon.me
Personal website and blog
Surmon.me is a full-featured personal website and blog platform built with Vue and designed as part of a larger ecosystem of interconnected applications and services. The project functions as a server-side rendered (SSR) web application that delivers content dynamically while maintaining performance and SEO optimization. It is powered by a dedicated backend service called NodePress, which provides RESTful APIs for content management, data retrieval, and system operations. The platform is not... -
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Yaak
The most intuitive desktop API client
Yaak is a modern desktop API client designed to provide a fast, intuitive, and privacy-focused environment for interacting with APIs across multiple protocols. It supports a wide range of technologies including REST, GraphQL, gRPC, WebSocket, and Server-Sent Events, allowing developers to work with different types of APIs from a single unified interface. The application is built using Tauri, Rust, and React, which contributes to its lightweight footprint, high performance, and cross-platform... -
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AI PDF Chatbot LangChain
AI PDF chatbot agent built with LangChain & LangGraph
AI PDF Chatbot LangChain is a full-stack template for building conversational agents that can ingest and answer questions about PDF documents. The project demonstrates how to combine LangChain and LangGraph with a vector database to enable retrieval-augmented question answering over user-provided files. It includes both frontend and backend components, making it suitable as a production starting point rather than just a minimal demo. The system parses uploaded PDFs into document chunks,... -
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GetProfile
User profile and long-term memory for your AI agent
GetProfile is a drop-in proxy layer that sits in front of your LLM provider to turn otherwise stateless chat requests into a system with persistent user profiles and long-term memory. Instead of forcing you to redesign your application, you route your model calls through GetProfile and it captures conversation context automatically as traffic flows. It then extracts structured traits and “memories” from those conversations, stores them, and injects the most relevant profile context back into... -
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Positron
Positron, a next-generation data science IDE
Positron is a next-generation integrated development environment (IDE) created by Posit PBC (formerly RStudio Inc) specifically tailored for data science workflows in Python, R, and multi-language ecosystems. It aims to unify exploratory data analysis, production code, and data-app authoring in a single environment so that data scientists move from “question → insight → application” without switching tools. Built on the open-source Code-OSS foundation, Positron provides a familiar coding... -
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Pi Web Access
Web search and content extraction extension for Pi coding agent
Pi Web Access is a Pi extension for web search, page extraction, repository inspection, PDFs, and video understanding. It supports numerous search providers, including OpenAI, Exa, Brave, Tavily, Kagi, Perplexity, Gemini, SearXNG, and several other commercial or self-hosted services. Provider fallback chains can automatically move between available services when a search method fails or is unavailable. Its content tool extracts readable pages, raw responses, images, PDFs, GitHub... -
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TradingGoose Studio
Technical analysis + LLM powered trading workflows
TradingGoose Studio is an open-source AI workflow platform designed to enable advanced financial trading analysis and automation through a visual, modular interface powered by large language models. It combines traditional technical analysis with modern AI-driven decision-making by allowing users to build workflows where multiple specialized agents collaborate to interpret market signals and execute actions. The platform supports end-to-end trading pipelines, starting from ingesting... -
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Memori
SQL-native memory layer enabling persistent context for AI agents
Memori is an open source SQL-native memory engine designed to add persistent memory capabilities to AI applications, large language models, and multi-agent systems. It provides a memory layer that automatically captures conversations and interactions between users and AI models, allowing systems to retain knowledge across sessions instead of operating statelessly. It extracts structured information such as facts, preferences, rules, and summaries from interactions and stores them in standard SQL databases for later retrieval. ... -
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Dockge
A fancy, easy-to-use and reactive self-hosted docker compose.yaml
Dockge is a self-hosted, stack-oriented manager for Docker Compose files designed to simplify container management with a modern web interface. Instead of treating each container individually, it focuses on stacks defined by docker-compose.yaml files, allowing users to create, edit, start, stop, restart, and delete entire stacks through a UI rather than via CLI only. The tool preserves the stack files on disk (rather than hiding them inside a database), so users retain full flexibility to... -
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Kodu
Kodu is an autonomous coding agent that lives in your IDE
Claude Coder is an open-source developer environment that integrates Anthropic’s Claude models directly into the coding workflow, functioning as a local or hosted AI pair programmer. It provides conversational and in-line code assistance, helping developers write, refactor, and debug code through context-aware interactions. The system runs through a local interface or within VS Code and other editors, maintaining privacy by keeping context on-device when possible. Claude Coder supports... -
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Unla
Gateway service that instantly transforms existing MCP Servers
Unla is a lightweight, highly available MCP gateway written in Go that turns existing MCP servers or ordinary HTTP APIs into MCP-compliant services through configuration, not code changes. Its goal is to let teams “wire up” tools they already run—internal REST endpoints, third-party APIs, or local MCP servers—and present a single, reliable MCP interface to clients like Claude Desktop, Cursor, and IDEs. The gateway focuses on operational concerns you’d expect in production: multi-instance... -
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Mobile Next
Model Context Protocol Server for Mobile Automation and Scraping
...One of its key innovations is its hybrid interaction model, which combines structured accessibility data with fallback screenshot-based analysis to ensure reliable automation even in complex UI scenarios. It is built to integrate seamlessly with modern AI agents, enabling multi-step workflows such as automated testing, form filling, and user journey simulation. -
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Micro Agent
AI CLI agent that writes code by iterating until tests pass
Micro Agent intentionally limits its scope to a focused task, avoiding complex multi-file operations or full project automation in order to minimize compounding errors. It supports multiple model providers, allowing users to configure different backends depending on their needs and environment. It can operate interactively, asking users questions to refine results, or run in a more automated mode tied to test scripts. -
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SANTETIN
Santetin is a website stress test and DDOS simulation tool
Santetin is a powerful desktop application built with Electron to perform website stress tests, penetration testing simulations, DDOS attacks, and traffic jingling for testing and educational purposes. ⚠️ Disclaimer: This tool is intended for educational and testing purposes only. Do not use it against any website without explicit permission from the owner. -
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Orkas
Open-source local-first desktop AI workforce coordinated through chat.
Orkas is an open-source, local-first desktop AI workforce. A Commander turns goals into executable plans and coordinates specialist agents in parallel or sequence through one chat. Orkas can coordinate built-in agents and external local agents such as Claude Code, Codex, OpenClaw, OpenCode, Hermes, and other supported runtimes. Conversations, files, agent configuration, and model keys stay local; the open-source edition uses user-selected providers or compatible local model endpoints. -
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NodeTool
Visual AI Workflow Builder
NodeTool is an open‑source, visual AI workflow builder that lets you connect nodes for text, images, audio, video, data, and automation—then run them locally or on the cloud. Build multi‑step agents, RAG systems, and creative media pipelines without coding, inspect execution in real time, and deploy anywhere: home server, private VPC, RunPod, or Cloud Run. With a local‑first design, NodeTool keeps models and data under your control while still supporting providers like OpenAI, Anthropic,... -
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Shinkai: Local AI Agents
Shinkai allows you to create advanced AI (local) agents effortlessly
Shinkai is a free, open-source AI platform that lets anyone create powerful AI agents without coding. These agents can collaborate with each other, handle complex tasks, and operate in decentralized crypto environments. Key Features: - No-Code Agent Creation - Build specialized agents (trading bots, sentiment trackers, etc.) with simple descriptions - Multi-Agent Collaboration - Agents work together to solve complex problems - Crypto Integration - Built-in support for decentralized payments and transactions - Flexible AI Models - Choose from cloud models (GPT-4, Claude) or run locally - Universal Compatibility - Works with Model Context Protocol (MCP) for cross-platform integration - Local Security - Crypto keys and computations stay on your device Shinkai transforms AI from single-task tools into collaborative, autonomous systems that can operate in decentralized networks while maintaining privacy and security.
