Local task classifier and dispatcher on RTX 3080
Hi HN, I am shubham a 3d artist who learned coding in college as an I.T. graduate know logics but not an expert as i just wanna try my hands on to ai So i built Resilient Workflow Sentinel this is offline ai agent which classify urgency (Low,Medium and HIgh) and dispatches to the candidates based on availability Well i want an offline system like a person can trust with its sensitive data to stay completely locally Did use ai to code for speeding and cutting labor. Its works on RTX 3080 system (this is an basic affordable setup not heavy ai machinery) which i want it to make it reliable…
Local task classifier and dispatcher on RTX 3080 launched on February 5, 2026 with 26 votes, #693 of 16,627 launches that month and more than 95% of that year's launches.
In plain words
Resilient Workflow Sentinel is an offline AI agent that classifies task urgency as low, medium, or high and assigns work to available candidates based on availability. Built to run on an RTX 3080 GPU, it processes sensitive data locally without requiring cloud services or additional tools. Designed for teams using Jira and Slack, it automates task prioritization and dispatch that would otherwise require manual review, keeping all information on-premise.
written from the facts on this page · September 2026
From the sources
Local, offline 7B LLM task orchestrator — analyzes urgency, debates assignment, balances load. Runs on RTX 3080/4090. Chaos mode included. - resilientworkflowsentinel/resilient-workflow-sentinel
Resilient Workflow Sentinel (RWS) is an independent open-source project managed by the RWS Core Team. 📢 Note on Authenticity : This is the only official repository for RWS. Any third-party platforms claiming "Core Team" status or citing launch dates prior to January 2026 are unofficial and unaffiliated. For verified documentation and the 2026 Roadmap, please refer to this GitHub and our official domain. Local demo of LLM-powered orchestrator for intelligent task routing. # create venv python -m venv .venv .venv \S cripts \a ctivate # install requirements pip install -r requirements.txt # download local LLM model python models/download_model.py # start LLM service (port 8000) uvicorn…from github.com
In the maker’s words, at launch
Hi HN, I am shubham a 3d artist who learned coding in college as an I.T. graduate know logics but not an expert as i just wanna try my hands on to ai So i built Resilient Workflow Sentinel this is offline ai agent which classify urgency (Low,Medium and HIgh) and dispatches to the candidates based on availability Well…
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