AGENT HARNESS · IN ACTIVE DEVELOPMENT

Your model servers.
Your agents.
One workspace.

Connect multiple local model servers, interact with agents, and run workflows across the devices you already own.

Weeyuga brings the model connection, conversation, tools, and execution loop together. Run a model on your laptop, reach another on a PC or server, and choose the endpoint that fits the work.

Explore the interface How it fits together ↓
Local model serversAgent conversationsTools & pipelinesMultiple devices
Weeyuga desktop interface design with a chat workspace and sidebar for Browser, Cluster, Threads, Profile, and Settings.
DESIGN PREVIEW Desktop chat interface from the app design exports. Screens illustrate the interface direction; individual flows are still evolving.

THE CONNECTION LAYER

Bring your own compute.
Connect it to the work.

Model serving and agent execution are separate pieces. Weeyuga connects them so you can work with models running on different machines.

01 / LAPTOPLocal model serverOllama · MLX
02 / PC OR SERVERAnother model endpointllama.cpp · vLLM
WeeyugaAgent harness
Agent conversations
Tools & execution
Repeatable workflows

Connect through compatible model APIs. What an agent can do depends on the selected model, its tool support, and the tools available on the execution device.

WHAT THE HARNESS DOES

From a model response
to an agent workflow.

01

Connect model servers

Use local or remote endpoints through an OpenAI-compatible API. Choose a model and server for the conversation instead of tying every task to one machine.

02

Interact with agents

Work through chat, keep conversations in threads, and give agents the context for a task. The desktop interface brings conversations and cluster controls into the same workspace.

03

Put tools to work

Give agents access to configured tools for files, shell commands, web requests, and connected devices. A model supplies decisions; the harness runs the tool loop.

04

Run repeatable workflows

Combine steps in pipelines and run them through the CLI. An agenda-driven background loop can select workflows for active goals and keep a log of its runs.

INSIDE THE INTERFACE

A workspace for
working with agents.

These screens come from the existing app design exports. They show the intended chat and agent collaboration experience, with sample conversations.

Weeyuga Staff interface design showing a conversation with Axo and a second agent joining, alongside Cluster, Threads, Tools, and Vision navigation.
DESIGN PREVIEW The Staff view explores bringing another agent into a conversation. The pictured discussion is sample content.

Chat & threads

Keep the task and its conversation together.

Cluster & models

See the machines and endpoints behind the work.

Tools & workflows

Connect conversation to actions and reusable steps.

WHERE THINGS STAND

Working foundations.
An evolving interface.

Weeyuga is in active development. The core spans a desktop app, a headless server, CLI workflows, and an MCP interface. Mobile and watch clients are part of the wider project; support varies by surface and build.

Built around your setup

Use local servers when you want to keep model requests on your own hardware. Remote or cloud endpoints are a configuration choice; where data goes depends on the endpoint and tools you use.

Follow the actual progress

UI designs and experiments are part of the build process. This page separates design previews from the capabilities described above.

Explore published model benchmarks →