{"repo":"ARPAHLS/rooms","free":true,"listed":false,"github":"https://github.com/ARPAHLS/rooms","clone":"git clone https://github.com/ARPAHLS/rooms.git","description":"A secure, local-first Python framework for orchestrating complex multi-agent think tanks with dynamic expertise-weighted routing.","language":"Python","stars":18,"topics":["ai-agents","litellm","llm","local-ai","multi-agent","ollama","orchestration","python","simulation"],"license":null,"category":"ai-agents","readme_excerpt":"A secure, local-first multi-agent orchestration framework. Overview Rooms is a robust, highly-configurable framework designed for testing, simulating, and orchestrating multiple AI agents in structured conversation spaces. Built with a local-first philosophy, it leverages LiteLLM to securely route requests to local models (like Ollama) or commercial APIs without data leakage. [!TIP] Extensibility : Rooms natively supports dropping in your own custom Python inference functions. You aren't limited to standard LLM endpoints. Key Features - Local Priority Integration : Zero-leakage API routing via litellm . Seamlessly integrates with local offline instances. - Dynamic Turn Orchestration : Agents interact via round robin , argumentative , or dynamic relevance-based conversational flows. - Expertise-Weighted Selection : In dynamic mode, agents are scored against the live topic context — the most relevant expert speaks next. - User-Directed Addressing : Type @AgentName in any input to force a specific agent to respond next, bypassing automatic scoring. - PASS Mechanic : Agents may respond with PASS if they have nothing meaningful to add, silently skipping their turn and keeping the flow clean. - Deep Personas : Configure intricate agent backgrounds and behavioral instructions dynamically per session. - Custom Architectures : Bypass standard LLMs entirely and plug in custom Python functions for specific agent inference. - Human-In-The-Loop : Inject user instructions at defined interv","default_branch":null,"files":null,"tree":[],"storefront":"/r/ARPAHLS","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/ARPAHLS/rooms/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}