The Northern Ravens
◆ Sovereign & self-hosted AI

Thought & Memory,
two ravens.

In the old stories, Odin sent two ravens across the world each day — Huginn (Thought) and Muninn (Memory) — and they returned to whisper what they had seen. This is a small flock of AI projects built on that idea: agents and infrastructure that think and remember, running entirely on hardware I own.

Explore the projects → Why self-hosted?

Huginn · "Thought"

The thinking raven — a coding agent and harness that plans, edits, runs, and verifies its own work.

Muninn · "Memory"

The remembering raven — a personal assistant that keeps a living memory across every conversation.

The flock

Projects

Everything here is built and run on local hardware — no cloud lock-in, model-agnostic, privacy first. Each one links out to its source.

Huginn

Thought · coding agent
Flagship

A self-hosted, model-agnostic coding agent and harness. It plans a task, edits files, runs the code, reads the failures, and loops until a real test passes — the harness, not the model, doing the heavy lifting.

Rust SWE-bench verified loop Local LLM (vLLM / llama.cpp) MIT
Source — coming soon

Muninn

Memory · personal agent
Flagship

A personal AI agent that lives on Matrix with a persistent, evolving memory. Small context, deep recall: facts are extracted, consolidated, and decayed over time, so it remembers what matters and forgets the noise.

Rust Sub-agent architecture SQLite + vector memory Matrix · voice · vision
Source — coming soon

Auth Server

Identity · OAuth2 / OIDC
In prep

A from-scratch OAuth2 / OpenID Connect authorization server — written by hand, not configured from an off-the-shelf product. The same engine runs in production as single sign-on for every project in the flock.

.NET OpenIddict Open-core Production SSO
Source — coming soon

Voice Pipeline

Real-time speech infra
In prep

A wake-word-free, self-hosted real-time speech stack: voice activity detection, streaming transcription, speaker identification, and natural text-to-speech — all on local GPUs, feeding the ravens by voice.

Parakeet STT Speaker ID Neural TTS GPU · on-prem
Source — coming soon
The idea

Built to be owned, not rented.

These projects share a conviction: capable AI shouldn't require handing your data, your prompts, and your dependence to someone else's servers. Everything in the flock runs on hardware I own and operate — a homelab of GPUs, a Matrix server, a firewall I configure by hand.

They're also a body of work. Each one is a real system that runs every day, not a demo — and together they're the most honest answer I can give to "what can you actually build?"

  • Sovereign. Local GPUs, no cloud dependency, your data never leaves.
  • Model-agnostic. Any OpenAI-compatible endpoint — swap the brain freely.
  • Memory over context. Don't grow the window; grow what's remembered.
  • Harness over model. A good loop beats a bigger model on real work.
  • Privacy first. Open source, self-hostable, nothing phones home.