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---
title: Optitransfer
emoji: 🔬
sdk: static
pinned: true
colorFrom: gray
colorTo: gray
tags:
- model-merging
- crdt
- distributed-systems
- federated-learning
- convergence
- deterministic
- conflict-free
- byzantine-fault-tolerance
- agent-memory
- provenance
- safetensors
- pytorch
- neural-networks
- multi-agent
---
<div align="center">
# Optitransfer
**Convergent intelligence infrastructure.**
*Building the mathematical layer where distributed AI systems merge, verify, and evolve -- deterministically.*
---
[![PyPI](https://img.shields.io/pypi/v/crdt-merge?label=PyPI&color=blue)](https://pypi.org/project/crdt-merge/)
[![Downloads](https://img.shields.io/pypi/dm/crdt-merge?label=Downloads&color=brightgreen)](https://pepy.tech/projects/crdt-merge)
[![Tests](https://img.shields.io/badge/tests-4%2C498%20passing-brightgreen)](https://github.com/mgillr/crdt-merge)
[![CRDT Compliance](https://img.shields.io/badge/CRDT%20compliance-26%2F26-blue)](https://github.com/mgillr/crdt-merge/blob/main/docs/CRDT_ARCHITECTURE.md)
[![License](https://img.shields.io/badge/license-BSL%201.1%20→%20Apache%202.0-orange)](https://github.com/mgillr/crdt-merge/blob/main/LICENSE)
[![Patent](https://img.shields.io/badge/UK%20Patent-pending-lightgrey)](https://github.com/mgillr/crdt-merge/blob/main/PATENTS)
</div>
---
## crdt-merge
Every standard merge strategy fails at least one of the three algebraic laws required for distributed convergence. That failure is mathematical, not implementational.
**crdt-merge** is the fix. A patented architecture that makes *any* merge operation -- across model weights, datasets, or agent memory -- fully conflict-free, order-independent, and provably convergent.
26 strategies. Zero coordination. One correct result.
```
pip install crdt-merge
```
**[GitHub](https://github.com/mgillr/crdt-merge)** · **[PyPI](https://pypi.org/project/crdt-merge/)** · **[Architecture](https://github.com/mgillr/crdt-merge/blob/main/docs/CRDT_ARCHITECTURE.md)** · **[Download Stats](https://clickpy.clickhouse.com/dashboard/crdt-merge)**
---
## Research Directions
We are working on problems at the intersection of distributed systems theory and machine intelligence:
- **Convergent model merging** -- deterministic, algebraically verified, at arbitrary scale
- **Distributed trust and verification** -- Byzantine-resilient protocols for open networks
- **Provenance-complete AI** -- cryptographic audit trails for every merge decision
- **Continual learning** -- knowledge acquisition without catastrophic forgetting
- **Multi-agent coordination** -- convergent shared state without central arbiters
Selected findings are published alongside the library. More to follow.
---
## Live Demonstrations
| | |
|:--|:--|
| **[crdt-merge](https://huggingface.co/spaces/Optitransfer/crdt-merge)** | Merge real models with full provenance |
| **[Convergence Lab](https://huggingface.co/spaces/Optitransfer/convergence-lab)** | 26 strategies, convergence visualisation, live experiments |
| **[Data Playground](https://huggingface.co/spaces/Optitransfer/crdt-merge-data)** | CRDT merging on tabular data |
| **[Federation](https://huggingface.co/spaces/Optitransfer/crdt-merge-federation)** | Multi-node gossip convergence |
---
## By the Numbers
| | |
|:--|--:|
| Merge strategies (all CRDT-verified) | **26** |
| Test suite | **4,498 passing** |
| CRDT overhead per merge | **< 0.5 ms** |
| Acceleration vs naive merge | **38.8×** |
| Cross-language ports | **Python · Rust · TypeScript · Java** |
| Encryption backends | **4** |
---
## Links
| | |
|:--|:--|
| **Source** | [github.com/mgillr/crdt-merge](https://github.com/mgillr/crdt-merge) |
| **Package** | [pypi.org/project/crdt-merge](https://pypi.org/project/crdt-merge/) |
| **Download Analytics** | [ClickPy](https://clickpy.clickhouse.com/dashboard/crdt-merge) · [PePy](https://pepy.tech/projects/crdt-merge) |
| **Rust Port** | [crates.io/crates/crdt-merge](https://crates.io/crates/crdt-merge) |
| **TypeScript Port** | [npmjs.com/package/crdt-merge](https://www.npmjs.com/package/crdt-merge) |
| **License** | BSL 1.1 → Apache 2.0 (March 2028) |
| **Patent** | UK Application GB 2607132.4 |
---
## Data Products
Optitransfer maintains compliance-ready, quality-scored web corpora for AI training.
| Dataset | Access |
|:--|:--|
| Swiss Web Premium (A+) -- 110K records, EU AI Act compliant | [Sample](https://huggingface.co/datasets/OptiTransferData/swiss-web-premium-ch) · [Full](https://huggingface.co/datasets/OptiTransferData/swiss-web-premium-ch-full) |
---
<div align="center">
**Switzerland**
[data@optitransfer.ch](mailto:data@optitransfer.ch)
</div>