Search Results for "multi agent simulation" - Page 3
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Showing 63 open source projects for "multi agent simulation"
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ArduSim
To be a practical Arduino simulator
ArduSim provides API level simulation of an Arduino. Arduino sketches can be run and debugged on PC with no modification. ArduGate is a sub-project of ArduSim. The agent sketch is shared. -
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SARGE - Search And Rescue Game Environment is a multi-player training game for robot operators which also supports agent based robot control for simulation work via TCP.
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A web based US Football Management game, wrapped up in a clone of NFL.com. Multi-player, multi-league, multi-season. Live online draft. Playcalling either via gameplan or live online. Animated plays. NFL, NCAA, AFL, CFL league formats.
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The OTWG is a multi user war game with multi-layer delegation. Logistics, production, tech dev is included. Creation of maps, scenarios, campaigns, Orders of Battle and Tables of Equipment is also included in the scope
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GnuDialer is a complete predictive dialer for contact centers. Written in c++. It's a multi-process OOP. GnuDialer supports inbound, outbound, blended, preview, and auto campaigns. The agent can dispo, hangup, pause, conference and record calls.
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MMORPG simulating virtual fantasy world. Our concept is "play from anywhere". The game is in *early* development stage. There is still a lot of work to be done. Pre-alpha test server can be found at http://world7.no-ip.org
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CrimeFighter is the website of a gta-like browser game with rpg and multiplayer parts. Moreover you can see yourself running around in the city in realtime. Never seen such a online game? Just visit http://www.crimefighter.de
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[Project Dormant until 2008]Shadows Rising is a browser based RPG written in PHP, Javascript, and XHTML. MySQL/PostgreSQL supported. The core engine will allow users create unique RPGs by adding new items, classes, terrain maps to Game Modules.
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Multi-user online service implementation for web-based factory modeling. Rich user interface and scalable backend system to build online simulation services on or do other processing of factory data. Demo at https://fabriksimulation.ipa.fraunhofer.de
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ADSKIT
Agents design supporting system for simulation models
Main task is automating the creation of simulation models of complex model. The originalities of proposed software are explicit representation of conceptual model in the concept – attribute – relation form and applying expert system approach to transform designed ontology into agent model. Researchers develop the structure and behavior of agents using declarative approach. Web: https://84.237.20.67/RFFI/Main.php -
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fluxychat
Realtime chat API on Cloudflare — hosted or self-host
FluxyChat is a multi-tenant realtime chat API built on Cloudflare Workers, Durable Objects, and D1. What's different: - One Durable Object per room: WebSocket fan-out + ordering at the edge, no socket fleet to manage - Agent tool calls stream on the same room WebSocket as chat messages — debuggable in the operator console - MIT self-host on your own Cloudflare account, or use the hosted beta - Next.js operator console: rooms, agents, billing hooks out of the box - @fluxy-chat/sdk: TypeScript SDK with React hooks, reconnect/backoff, REST history pagination Built for SaaS teams adding in-app chat without Pusher-scale bills or running persistent WS pods. -
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lastest
AI-supported visual verification and tests you can actually trust.
Lastest.cloud is a free, open-source verification of development, self-hosted visual regression and end-to-end testing platform for web applications. An AI agent records you clicking through your running app and generates Playwright tests with multi-selector fallback. Replays are deterministic and token-free, so your CI/CD bill doesn't scale with your test suite. Lastest ships three diff engines side-by-side — pixel (pixelmatch), structural (SSIM), and perceptual (Butteraugli) — so flaky pixel diffs stop crying wolf. ... -
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SynquoRum
Multi-AI workspace with persistent cross-session memory via MCP
SynquoRum is a multi-AI workspace for people who use multiple language models daily and are tired of fragmented context when switching tools. Most AI products treat memory as belonging to the model. Every new session starts from zero. SynquoRum inverts this: memory belongs to the workspace, not to any specific agent. Through an MCP (Model Context Protocol) server with 22 tools, the workspace exposes its memory to any MCP-compatible client — Claude.ai, Cursor, Cline, custom agents — so the same context follows you across providers and sessions. ...
