Noob
Small fixes.
Light experiments.
Enough to feel Dragon wake up.
Mithrandir Dragon
Here's how.
Dragon runs coding agents at 500+ tokens per second with frontier-grade quality and dramatically lower inference cost.
So your agents run faster.
And while Dragon brings the speed, Mithrandir keeps the plot.
A wizard lives inside the IDE, maintaining your specs, docs, rules, repo map, and long-horizon goals - so your agents do not forget what the hell they were building.
Fast agents. Long memory. Private by architecture.
Sign in[ Dragon ]
AI inference was bleeding us dry. Same as everyone else.
The agents were finally useful, but the cost of running them hard was insane. Every long coding session turned into a furnace.
Most AI tools responded by rationing the magic: limits, meters, lockouts, tiny token pools, and cheap-model downgrades.
We went the other way. We built a new inference system for AI coding workloads.
Dragon.
Dragon preserves frontier-grade coding quality while running dramatically faster and cheaper.
500+ tokens/sec.
Up to 80% cheaper inference.
No downgrade.
No toy-agent compromise.
This is the breakthrough that unlocks everything else:
bigger token pools
longer agent runs
faster loops
lower prices
serious AI coding without getting taxed to death
Dragon is why your agents just got 10x faster.
[ Mithrandir ]
Speed alone is not enough. Fast agents are useless if they forget the quest.
Mithrandir is the wizard inside the IDE - the agent harness that keeps your AI coding system aligned across long builds.
It maintains your specs.
Keeps docs respected.
Re-indexes your codebase locally.
Improves agent rules when agents fail.
Tracks long-horizon goals.
Keeps the repo moving forward.
Most agents reset.
Mithrandir compounds.
[ Privacy ]
Your codebase stays on your machine.
MWS indexes locally.
We do not upload your repo.
We do not store your files.
We do not train on your code.
Our team cannot browse your code.
Not "trust us."
Architected so we can't look.
[ Local AI ]
Ollama, Gemma, MLX on Apple Silicon, and your own open-source models are built into Mithrandir IDE.
Not bolted on. Built in.
Mithrandir can use Dragon for frontier-speed coding and local models for private, offline, lightweight, or free extra work.
We do not charge you for local inference. Your machine becomes part of the system.
Your hardware. Your models. Your code.
[ This is MWS ]
Mithrandir Wizard Systems.
The IDE where:
Dragon makes agents fast.
Mithrandir keeps them on mission.
Local models give you free private capacity.
Your code never becomes our cloud asset.
AI coding for people building real software. Not toy demos.
[ Pricing ]
Monthly Dragon token pools for builders who actually use AI coding.
No surprise bills. No rolling-window lockouts. No code retention.
Rate limits scale automatically as you grow. No support tickets. No extra keys to juggle.
Small fixes.
Light experiments.
Enough to feel Dragon wake up.
Daily edits.
Small features.
Bug fixes.
Actual usage without instantly watching the meter.
Big refactors.
Agent runs.
Longer sessions.
Enough runway to stay in motion.
Deep sessions.
Large repos.
High-stakes builds.
The plan for people who use AI coding like oxygen.
Maximum runway.
Maximum throughput.
Maximum "do not interrupt me while I'm building the future" energy.
For maniacs. For teams. For people who push until the system breaks.
FAQ
[ Founder note ]
The compute crunch made building with the best AI models astronomically expensive. We were addicted to building, but priced out of every AI coding system that could actually keep up. At the same time, we lived with the fear that the big model companies would turn our private code into training data. So we invented a more efficient way to code with frontier AI, built it for ourselves, and now we are sharing it with every builder who refuses to slow down.
[ Final CTA ]
Your AI coding agents just got 10x faster.
Now they remember the mission too.