How Recommengine works.
Agents do the reasoning. Workflows sequence them. Engines package the whole thing into something you can converse with and reuse. Every layer is composable, policy-gated and traceable — here's each one.
From scattered context to a confident decision.
Assemble AI agents and workflows into a reusable engine — set its goals, constraints and tools.
Talk to your engine through Rico. It fuses context across chat, calendar, maps and files as you go.
Get a traceable recommendation you can act on — every decision is explainable, auditable and reusable.
Everything you need for trustworthy AI decisions.
Build engines from agents, workflows and policy-gated tools — no engineering backlog.
Every recommendation shows its execution path and context provenance. Explainable, auditable, yours.
Connect any MCP tool, drive it from chat or the CLI, and run it where you want — cloud, hybrid or on-prem.
One engine pattern, every decision you make.
Fuse calendar, chat, location and files into one engine that surfaces what's urgent now, what can wait, and why — as ranked, explainable proposals instead of another inbox.
Stream CLI activity into Recommengine, run plan-first workflows behind human approval gates, and delegate bounded repo work to cloud agents — every step traceable and policy-gated.
Compose agents that gather context through MCP tools — web lookup, files, databases — and return recommendations with full provenance, so you can show exactly how each conclusion was reached.
Route events and sources through workflows that don't just alert — they recommend the next action, with an audit trail and ownership-safe isolation across your whole team.
Snap in production-ready components.
Give your engines real-world context. Fuse chat, calendar, maps and files — then extend with MCP tools and wire them together your way.
Ready to build your decision engine?
Compose agents, converse with Rico, and decide with confidence — traceable and ownership-safe. Start in minutes.