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A local MCP server · bring your own keys

Many models.One considered answer.

OpenFusion sends your prompt to a panel of AI models at once, then has a judge read every answer and write the one that should ship. It runs on your machine, inside the coding agent you already use.

2–5 models answer the same promptin parallel, single-shot
A judge reads every answerconsensus · contradictions · blind spots
One answer comes backwritten from all of them, not averaged
~¾ of the quality lift comes from the synthesis stepOpenRouter Fusion research

What it is

A fusion engine, not another agent

OpenFusion does one thing well: it turns many single-shot answers into one consolidated answer. It doesn't browse, click, or run tools — your agent does the legwork and calls it once.

Fan out

Your prompt goes to 2–5 models in parallel — mix cheap and strong, from any providers you like. Each candidate answers once, with its own timeout.

Judge

A model you choose reads all surviving answers and maps where they agree, where they contradict each other, and what every one of them missed.

One answer

The judge writes a single consolidated response and hands it back to your agent. Every call is logged locally with cost, tokens, and latency.

How it works

Three stages, one river

1

Fan out

2–5 candidates answer the same prompt in parallel. Single-shot — no tools, no browsing. If a model stalls, its timeout fires and it's out.

2

Analyze

The judge compares the survivors: consensus, contradictions, partial coverage, unique insights, and blind spots.

3

Synthesize

From the answers plus its own analysis, the judge writes one consolidated answer. If fewer than two candidates survive, fusion stops instead of guessing.

the confluence — fusion, drawn as a river

When to reach for it

Four jobs it earns its keep on

Architecture decisions

Where a second and third opinion genuinely change what you build.

Deep research

Synthesizing many sources and perspectives without dropping the edges.

High-stakes answers

Independent models agreeing is real confidence, not vibes.

Budget quality

A panel of cheap models, fused, can beat one expensive call.

For routine edits and simple lookups, one model is faster and cheaper — fusion costs 2–3× a single call, so use it where it pays.

Quick start

Zero to first fusion in five minutes

Requires Node.js 22+. Then add models and keys in the dashboard.

# 1 · install the server
npm install -g openfusion-mcp

# 2 · register it with your agent + install the skill
npx openfusion-setup

# 3 · open the dashboard, add 2–5 models + a judge + keys
openfusion-ui

Works with

Anything that speaks MCP

Claude CodeZCodeCursorClineZedCodexGemini CLIContinueClaude Desktop+ 9 more →

Give your agent a council.

MIT licensed · runs locally · any providers · no lock-in

Install OpenFusion