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Memory Loss
Stateless agents forget architecture and prior decisions once the tab closes, so you have to tell them again how to do things.
Stop duct-taping random chats. Flotilla is the orchestration layer that bootstraps your autonomous fleet with shared memory, vault-first security, and a unified Kanban bridge on your own hardware.
npx create-flotilla
Bootstrap a multi-model team with shared operating memory, secure secret delivery, and a management layer your humans can actually read.
Flotilla standardizes the bootstrap, security, and coordination layer so your agents stop behaving like isolated chat tabs and start working like a professional team.
A centralized, human-readable management plane where you monitor, direct, and teach your workforce. The snapshots below are meant to give visitors a feel for the UI at a glance.
Standard AI deployments fail because they lose context, drift across sessions, and create unpredictable operating costs.
Stateless agents forget architecture and prior decisions once the tab closes, so you have to tell them again how to do things.
Usage-based token billing can create unexpected large bills and unpredictable economics for engineering teams.
Teams waste time relaying tasks, answers, and context manually between tabs because the agents have no shared command layer.
Agents don't learn from mistakes. Without a "Lessons Learned" ledger, your fleet repeats the same errors every session.
Hardcoding secrets in .env files is a massive risk. Most setups lack a professional, vault-backed security layer.
The Fleet Hub is a management layer for coordinated agents: shared memory, vault-backed secret access, role specialization, and explicit reporting.
Architecture, context, and project decisions stay versioned and accessible across sessions.
Agents start from the same source of truth and synchronize before they act.
Stop copy-pasting and start coordinating through shared tickets, inboxes, standups, and human-readable state.
Lessons learned can be reviewed, approved, and pushed back into future agent behavior.
Secrets are fetched on demand through Infisical scripts and injected in-memory.
Flotilla is strongest when the coordination layer is explicit. The package gives teams a repeatable operating model instead of a loose pile of prompts, tabs, and undocumented rituals.
The shared cognitive layer. Every agent re-syncs against the same mission context, rules, ticket state, and architectural source of truth before acting.
Approved memory entries become reusable operating knowledge, so field fixes and architectural constraints survive the next session and the next model.
GitHub and dashboard work stay aligned. Humans can see ticket state, and agents can move work without relying on fragile copy-paste handoffs.
Secrets are fetched on demand through Infisical workflows. No hardcoded `.env` files, no credential sprawl in chat history, and no leaked keys in memory ledgers.
Coordinate Claude, Gemini, Mistral, and Codex in parallel with shared conventions for handoffs, standups, lessons learned, and task routing.
Own your AI stack in cost, in model choice, and in operating discipline.
Move away from runaway token billing toward fixed-cost operating models with no mid-project cost surprises.
Stay model-agnostic. Use cloud models where they fit and run local models where privacy, latency, or sovereignty matter.
Based in Zurich, Big Bear Engineering focuses on production-grade execution, clean architecture, and disciplined workflows instead of AI hype.
These live demos show actual implementations built on top of the Fleet Hub for different customer types.
The platform works best when the operational prerequisites are already in place.
The open-source Flotilla package is the entry point. Big Bear Engineering is the upgrade path when you want the orchestration layer installed, tuned, and made operational for your team.
Open-source starter kit - Free
npx create-flotillaDashboard plus remote setup - Contact us
One-day hands-on engagement - Contact us
Commercial extension for sales and marketing workflows.