Projects / Work in progress

What’s on the workbench.

Open source software, model research, hardware experiments, and the infrastructure that supports them. Hardware listed here is shared across projects; it does not indicate reserved capacity or available allocations.

Updated September 15, 2026.

Open source software

6 projects

In development

microWASM

Sandboxes and micro VMs built on WebAssembly, with durable state. The goal is fast, portable execution across machines and environments.

Project lead
Shannon Duncan ↗
Hardware & resources
  • MS-A2

In development

threaded

Combines microWASM and celld to multiplex agent deployments. Designed to scale from a single CPU machine to full cloud clusters.

Project lead
Shannon Duncan ↗
Hardware & resources
  • MS-A2

In development

fxClaw

An agent system in the vein of OpenClaw, Hermes, PicoClaw, and NanoClaw, built in Zig. It hosts agents natively through microWASM, with fx.sh as the default foundation.

Project lead
Shannon Duncan ↗
Hardware & resources
  • MS-A2

In development

ZD Web Server

Updating the ZD harness and editor to serve over the web, with a headless way to work with agent projects across the cluster.

Project lead
Shannon Duncan ↗
Hardware & resources
  • N150

Experimental prototype

esp32-fx

Runs the fx coding agent on native Linux on an ESP32-S3. WAMR runs the fx WebAssembly core, and a Seeed reTerminal E1001 e-paper display shows the agent’s response. Model inference currently uses a remote provider.

Explore the esp32-fx source on GitHub
Project lead
Shannon Duncan ↗
Hardware & resources
  • N150
  • Seeed reTerminal E1001 with ESP32-S3

GPU & model research

2 projects

Active research

Practical Small Model Usage

Getting useful, high-quality results from small models on memory-constrained systems. The research also explores mixtures of models and swarms of task-specific 500M-parameter models.

Project lead
Shannon Duncan ↗
Hardware & resources
  • DGX Spark
  • GPU bench
Working toward
Run 2B–30B-parameter models well on systems with 16 GB of memory or less. These are research goals, not published benchmarks.

Active research

DeepSeek Flash 4.1

Work on running DeepSeek Flash 4.1 across a pair of DGX Sparks.

Project lead
Shannon Duncan ↗
Hardware & resources
  • 2 × DGX Spark

Hardware experiments

4 projects

Prototype testing

Agent Blade

A clusterable board for swarms of agents. Autonomous agents and very small local models have run on ESP32 prototypes, with battery-powered operation intended to continue through internet or power outages. Current experiments include small SoCs, low-power GPUs mounted behind the blades, and older Android phones with 2–4 GB RAM as inference accelerators.

Project lead
Shannon Duncan ↗
Hardware & resources
  • Microbench
  • First prototype: 6 × ESP32-S3 + 3 × ESP32-P4 on one PCB
Working toward
Under $100 per blade board and under 200 W, preferably 30–100 W. Cost and power are design targets, not measured results.

Exploratory research

FPGA model inference

Testing FPGA approaches to encoding model weights and tensor operations directly in hardware.

Project lead
Shannon Duncan ↗
Hardware & resources
  • Microbench / FPGA platforms
Working toward
Explore whether a single card could eventually run a 12B-parameter model at around 13,000 tokens per second. This is a long-term ambition, not an achieved result.

In development

An agent on your wrist

An ESP32-S3 watch or wrist-worn system designed to keep a personal autonomous agent with you.

Project lead
Shannon Duncan ↗
Hardware & resources
  • K15
  • ESP32-S3 wearable
Working toward
One autonomous agent running around the clock. Runtime and battery life are still being explored.

In development

A tiny pet on your wrist

A Tamagotchi-style watch or wristband game Shannon is building with his daughter. She is designing it and working with Claude Code and an ESP32-S3 touchscreen to bring it to life.

Project lead
Shannon’s Daughter
Hardware & resources
  • Microbench
  • ESP32-S3 with touchscreen

Cluster infrastructure

4 projects

Setup in progress

Cluster monitoring & HUD

Setting up Prometheus, cluster monitoring, and the cluster HUD, with the N150 as the controller and head unit.

Project lead
Shannon Duncan ↗
Hardware & resources
  • N150 / controller
  • Cluster HUD

In development

GPU cooling shrouds

Building new cooling shrouds for the Lab’s P100, P4, and V100 cards.

Project lead
Shannon Duncan ↗
Hardware & resources
  • P100, P4, and V100 GPU cards

Planning

Community provisioning

Planning how to give people secure access through dynamic VLANs, virtual machines, and attached hardware. Isolation and provisioning arrangements are still being worked out.

Project lead
Shannon Duncan ↗
Hardware & resources
  • Cluster network, VM hosts, and attached hardware
  • Specific allocations not yet set

Planned community access

LiteLLM gateway

Preparing a gateway for models served from the cluster, including the DeepSeek Flash 4.1 work, so community members can try them using keys issued through compute grants.

Project lead
Shannon Duncan ↗
Hardware & resources
  • Cluster model-serving resources
  • Gateway host not yet specified
Working toward
Grant-based API access for community testing. The gateway and key distribution are not yet available.

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