$ loading_
Run approval-gated automation and verifiable LLM workflows in a local-first setup.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "MIDAS" yet — see the docs or source repo.
Using MIDAS, design a local-first deployment workflow: inspect the shell commands to be run, list risks, wait for my approval before execution, and generate an auditable execution log.
A deployment workflow with approval steps, risk checks, and a traceable execution log plan.
Use MIDAS to build an LLM workflow for support tickets: read local data, draft responses, record inputs and outputs for each step, and require human confirmation before sending.
An auditable, traceable ticket-handling workflow with a human approval step.
Have MIDAS assess whether this automation task is safe: it reads local files, calls an LLM, and modifies config files. Provide potential risks, required approval points, and least-privilege recommendations.
A security assessment, approval recommendations, and a least-privilege control checklist.
Provide offline, source-traceable long-term memory and retrieval for local agents.
Safely adds local-model summarization, classification, critique, and drafting with strict guardrails.
Interact with simulated data files locally using slash commands and context mentions.
Run a full local AI stack with APIs, memory, and private RAG.
Let ChatGPT safely access your Windows PC for supervised file and desktop actions.
Secure AI agents locally with cost controls, injection blocking, and action approvals.