The Agent-Operated AI Console
Coding agents that don’t work alone. They see what your teammates’ agents are doing, learn from what broke in testing, and run on cheaper models because the context is sharp.
Flow Console is a desktop console for getting real work done with AI agents. Its front door is Agent Home: describe the outcome you want in plain language, and a scoped agent operates the console for you, opening the right tools, doing the work in its own tab, and pausing only when you need to sign in, decide, or approve a step that matters. The expert panels are all still there; they just stop being the price of entry.
Spectre-Tree-Grounding keeps agents anchored to a live, structured map of your project instead of re-reading everything each turn, trimming token consumption by up to ~35% in heavy sessions and letting smaller, cheaper models carry work that would usually need a frontier model. Bring your own cloud models, or run local models on your machine when you prefer. The choice is yours.
Point Agentic Testing at your project and a running build, and it tests the way a senior QA engineer would: it learns what the product is supposed to do, drives every button, form, and flow in a real browser, and verifies each expectation criterion by criterion. It works alongside your engineers, drastically reducing the manual testing workload and accelerating every release cycle. The result is a report you can hand to a stakeholder. Every verdict is cross-checked against what the machine actually observed, and every untested control is accounted for. Release day stops being a guess.
Describe a capability in plain language, and a Forge agent does the rest: it locates the feature in the knowledge graph and precompiled documentation Flow Console maintains for your application, pins the workflow at the protocol level, real, typed requests, not screen automation, and compiles it into a TypeScript MCP server with clean tool definitions. Verify the result, then run it on your own infrastructure or let Metantel host it for free. Low overhead, agent-assisted throughout, and security is inherited from your application: same login, same permissions, same audit trail.
Flow Console keeps a live, structured map of your project, its files, flows, and how they connect, and grounds every agent step in it, so agents stop burning context re-reading the codebase each turn. In heavy sessions that trims token consumption by up to ~35%, and it lets smaller, cheaper models take on tasks that would normally demand a frontier model. Lower cost per run, faster iterations, and models that punch above their weight, Spectre-Tree-Grounding is part of the broader Spectre-MCK suite we are building for the console. Prefer to keep everything in-house? You can still run local models on your own machine.
At the core of Flow Console is the SPECTRE engine, technology developed within Spectre, Metantel’s advanced-projects division. Its methods are proprietary; its results are the product: it lets the console read an application the way an engineer does, and act on it the way a careful operator would.
~730 MB installer · connect a cloud model in seconds, or download the free local model pack (~11 GB) inside the app if you would rather run on your own machine
Flow Console doesn't ship in isolation. It plugs into the rest of the Metantel line-up through one shared protocol surface, context flows in and out without leaving the family.
Elenchus is the mobile command centre. Start a task from your phone, watch it run live, stop it or queue the next one from anywhere.
Open Elenchus →Flow Console agents read project context from Artel and write results back. Docs, decisions, and task updates land where your team already works.
Open Artel →