Tools/nikmcfly/MiroFish-Offline

MiroFish-Offline

Offline multi-agent simulation & prediction engine. English fork of MiroFish with Neo4j + Ollama local stack.

2.5k+6/wkemergingPythonGNU Affero General Public License v3.0trending

The Lens

By Erik Loyd, SaaS CEO and former COO/CFO of an AWS Premier Partner.

Updated Mar 2026

MiroFish-Offline runs multi-agent AI simulations and predictions completely offline using a Neo4j knowledge graph and Ollama for local LLM inference. It's a simulation engine where multiple AI agents interact, predict outcomes, and build up a knowledge base over time.

This is niche but powerful for scenarios like market simulation, scenario planning, or research where you can't send data to external APIs. Everything runs locally: the database, the models, the agents.

The catch: AGPL-3.0 license (if you modify it and offer it as a service, you must open source your changes). Requires Neo4j and Ollama running locally. That's a real setup commitment. And 'offline multi-agent simulation' is a small but growing niche.

Free vs Self-Hosted vs Paid

fully free

Fully open source under AGPL-3.0. No paid tier, no hosted version. Everything runs on your machine. The AGPL license means if you modify it and offer it as a service, you must release your source code, but for internal use, it's completely free.

You'll need Neo4j (free Community Edition works) and Ollama (free) installed locally.

Free for internal use. AGPL means service use requires open-sourcing your modifications.

Self-hosting ops:moderate

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Score
53/100 · C+
Adoption17/30
Maintenance10/25
Community9/20
License7/15
Analysis10/10

A low score is not a verdict on quality. Young and niche tools start low by design. How we calculate scores

Trust Signals

Growing adoption: 1,937 starsActive community: 501 forks

License: GNU Affero General Public License v3.0

Must share source even for SaaS/network use. Strongest copyleft.

Commercial use: ✓ Yes

About

Owner
Nik McFly (User)
Stars
2,465
Forks
654

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