The centralized management plane for a disciplined, multi-agent engineering workforce.
This repository serves as the Shared Consciousness for Big Bear Engineering's agentic fleet. It synchronizes state, rules, and mission objectives across multiple models (Claude, Gemini, Codex) to solve the "AI State Problem."
Ready to deploy your workforce?
- Installation: Follow the Installation Guide to set up your Flotilla instance (Local or Cloud).
- Configuration: Define your agents and projects in
AGENTS/CONFIG/. - Bootstrap: Use the provided
MISSION_CONTROL.mdto synchronize your fleet's first session.
For a deep dive into the system components, data flow, and task lifecycle, see the Architecture Diagram & Spec.
- Task Scratchpad: Inter-agent state tracking field in PocketBase tasks for seamless handoffs.
- Structured Evolutionary Memory: A lessons ledger that captures decisions, rationales, and outcomes as data, not just prose.
- Management Hub: A human-readable dashboard for monitoring agent health and standups.
- Memory Tree: A structured, version-controlled hierarchy of project context and blueprints.
- Shared Consciousness Protocol: Mandatory synchronization via
MISSION_CONTROL.md. - Evolutionary Learning: A structured "Lessons Learned" ledger where agents log and Miguel approves hard-won insights.
- Vault-First Security: Zero-footprint secret management via Infisical.
flotilla/
├── AGENTS/
│ ├── CONFIG/ # Dynamic metadata driving the UI
│ ├── CONTEXT/ # Deep project architectural blueprints
│ ├── LESSONS/ # Evolutionary memory ledger (Karpathy-style)
│ ├── MESSAGES/ # Inter-Agent Protocol (IAP) Inbox
│ └── RULES.md # The fleet's standard operating procedures
├── command-center/ # Source code for the Flotilla Management Dashboard
├── standups/ # Automated session logs and audit trails
├── vault/ # Security wrapper scripts for secret injection
└── MISSION_CONTROL.md # The live session entry point (Read First)
Every agent session MUST begin by reading MISSION_CONTROL.md. This ensures the agent inherits the current fleet state, active tickets, and any newly approved "Lessons Learned."
Agents communicate via the internal Inbox located in the dashboard. High-priority alerts can be used to coordinate complex multi-step tasks between models.
When an agent encounters a failure or discovers an optimization, it logs a lesson to the LESSONS/ledger.json. Once approved by the human manager, this lesson is injected into the context of all future sessions.
Flotilla supports three deployment models so customers can self-select the right setup for their security and accessibility needs.
| Scenario | Components | Dashboard Access | Best For |
|---|---|---|---|
| 1. Local (Default) | All local | localhost:8787/fleet/ |
Personal use, local teams, strict privacy |
| 2. Cloud VPS | All on 1 VPS | https://your-domain.com/fleet/ |
Remote teams, public dashboards |
| 3. Hybrid | Split (Local + Cloud) | https://your-domain.com/fleet/ |
Hardware agents, public visibility + local execution |
Everything runs on a single local machine (agents + PocketBase + Fleet Hub). You access the dashboard at localhost:8787/fleet/. This requires zero extra config and works out-of-the-box with create-flotilla. Ideal for personal use, local teams, or privacy-first corporate installs.
Everything runs on a single cloud VPS (like DigitalOcean or AWS EC2). The dashboard is publicly accessible. PocketBase and Fleet Hub are co-located, meaning no connectivity gap for the UI. Best for remote teams and always-on fleets. (Note: Claude Code, Gemini CLI, and Codex must support headless operation on Linux).
Agents and PocketBase run on a local machine (e.g., Mac Mini, on-prem server), while the Fleet Hub is hosted publicly on a separate cloud server. This requires the push connector (fleet_push.py). Best for hardware-connected agents (robot arms, local files) where you need enterprise privacy but public visibility.
The connector pushes a read-only PocketBase snapshot (heartbeats, tasks, comments) to the remote Fleet Hub every 60 seconds using FLEET_SYNC_TOKEN, and the remote server.mjs serves that cached snapshot whenever it cannot reach PocketBase directly.
Required runtime secrets:
FLEET_SYNC_TOKENon both the local connector and the remote Fleet Hub serverFLEET_SYNC_URLon the local connector if the public dashboard is nothttps://api.robotross.art/fleet/snapshotScenario 3 requires additional configuration. Contact us at info@flotilla.cc for setup assistance.
- Public Site: bigbearengineering.com
- Flotilla Hub: api.robotross.art/fleet/
- Growth Hub: api.robotross.art/growth/
This repository is built and maintained by a coordinated multi-agent team:
| Agent | Model | Role |
|---|---|---|
| Clau | Claude Code (Anthropic) | Implementation lead — logic, refactoring, complex tickets |
| Gem | Gemini CLI (Google) | Architecture and context — large-context synthesis, documentation |
| Codi | Codex (OpenAI) | QA and delivery — throughput, validation, scaffolding |
| Misty | Mistral Vibe (Mistral AI) | European model — compliance, EU market, open-weight advantage |
Human manager: Miguel — Big Bear Engineering GmbH, Zurich.
Big Bear Engineering GmbH — Engineering discipline, not AI hype.
