Active guardrails
Rules and constraints injected into every prompt. The agent can't ignore them because they travel with each model call: tone, scope, forbidden actions and goals, always present.
Open source fork of nano-bot, hardened with active guardrails, path-level access control and embedded audit logging. Official Docker images for deployment — coming soon.


We start from nano-bot, the autonomous agent from the University of Hong Kong, and harden it with four Minerva layers so it can operate in real environments without surprises. Everything is open source. Official Docker images for deployment are coming soon.
Rules and constraints injected into every prompt.
Allow/deny list of editable paths.
Every interaction is normalized and stored in a SQLite database embedded in the agent itself.
Built-in UI to edit any file in the workspace, chat with the agent, validate intermediate actions, and query the SQLite audit log — all in one place.
We don't trust the model's good will. We lock it inside clear rails and record every step.
Rules and constraints injected into every prompt. The agent can't ignore them because they travel with each model call: tone, scope, forbidden actions and goals, always present.
Allow/deny list of editable paths. You define what the agent can read, write or ignore. It cannot touch anything outside its authorized workspace.
Every interaction is normalized and stored in a SQLite database embedded in the agent itself. Full traceability: prompts, responses, tools used, file changes.
Built-in UI to edit any file in the workspace, chat with the agent, validate intermediate actions, and query the SQLite audit log — all in one place.
Three production deployments with Minerva customers—not slideware. Each agent owns a full workflow: calendar and inbox, social content, or customer memory.
A digital secretary with access to the calendar and inbox. Prioritizes and categorizes emails based on whether they need action, oversight, are blocking something, or are purely informational.
Once a day it scrapes news relevant to the company, extracts topics with cited sources, and after user approval writes, reviews and schedules content across social networks.
Active memory with a custom protocol and Minerva's internal tooling. Categorizes and keeps every customer interaction, demo and commitment up to date, wired into Google Calendar.
We believe autonomous agents should only run if they can be audited. Minerva Stands is open source end-to-end. Official Docker images are coming soon so you can inspect, modify, and choose where it runs.
View on GitHubPay setup once. Maintenance is optional if you have the engineering muscle to run it yourself.
Process consulting, agent design and initial deployment.
Managed hosting, monitoring and agent evolution.
After setup you can keep the deployment on your own server and skip maintenance entirely. The code is yours. Official Docker images for self-hosted runs — coming soon.
Tell us the process you want to automate. In 30 minutes we'll tell you if Stands fits and what would make sense to build.