02 / Shinraya Tech Labs

Built to investigate.
Engineered to be used.

Open implementations that support research and put ideas to work. Organized by the problems they address, with maturity and evidence kept in view.

01

Observe & understand

Make the behavior of complex systems inspectable.

Python

AgentWatch

Runtime evidence, provenance, comparison, and replay for AI-native systems.

The v3 README describes a passive instrument; most analysis capabilities remain experimental.

View AgentWatch
Distributed systems

PulseStack

Observability and execution replay for distributed AI workflows and agents.

The repository identifies the platform as under active development.

View PulseStack
02

Build & orchestrate

Connect ideas to executable, repeatable workflows.

Python

RepoPilot

A repository agent that edits code, runs tests, and iterates on execution feedback.

Test success is part of the workflow; it is not a guarantee of correctness or safety.

View RepoPilot
Rust

VEX

Content-hashed incremental builds with task skipping and a shared remote cache.

A Rust implementation. No comparative performance claim is made here.

View VEX
Workflow infrastructure

FluxCore

Event-driven orchestration for reactive pipelines, services, and automation.

Public implementation and architecture; production scale is not independently verified.

View FluxCore
03

Explore & apply

Carry experimental methods into working software.

TypeScript

MEOWCODE

A unified AI workspace that routes requests across configured providers.

The README describes a Next.js frontend, Fastify API, and Postgres-backed deployment.

View MEOWCODE
Evolutionary computation

MYCELIUM

An evolutionary runtime for generating, mutating, and evaluating executable software.

Architecture and runtime are documented; generalized self-improvement is not established.

View MYCELIUM
Computer vision

SentinelCV

Computer vision for fall detection and safety monitoring with CCTV and IP cameras.

A public implementation; field reliability and safety certification are not verified.

View SentinelCV

Built in the open

Good questions deserve
more perspectives.

Reproduce an experiment. Challenge an assumption. Build something useful with us.

Contribute to the work