Oscova Agents is the newest generation in a line of digital assistants stretching back to the SIML era. Each generation was built on the technology of its day; the instinct never changed: an assistant that lives with you, on hardware you own.
Your agents, your files, and your conversations live on hardware you own. Local models keep them there, and nothing leaves the machine without your say.
Everything the runtime stores stays on the machine you installed it on
Agents in Oscova are durable services, not chat tabs. The road ahead is more of that: agents that keep schedules, run overnight tasks on local models, and have their results waiting for you in the morning.
Oscova Agents is co-authored by Leslie Timmy, an AI researcher and harness engineer with over fifteen years on the .NET platform, who has been shipping digital assistants since before they were called AI. The project is headed for open source, and its next authors may include you.
Co-author. AI researcher and harness engineer
Digital assistants through every era of the field: scripted intents, word-sense disambiguation, SIML, and now large language models. Half a working life on one idea, now brought to the public.
Where the obsession started
Small desktop apps with a round emoji face and a speech synthesizer. Whatever you typed, the face spoke back and tried to lip-sync. Built for fun, shared with nobody, and never really put down since.
Highlights
Typed text became a spoken, animated reply.
The idea took hold: a computer character you talk to.
The first real assistant
A personal assistant built for its author and shown only to friends, never released on the internet. When Iron Man hit theaters, friends had a nickname ready: the guy already had his own digital assistant.
Highlights
Built for one user, refined by daily use.
Fully scripted intent matching, years before mainstream voice assistants.
The first public demo
The first assistant to reach YouTube. A 3D head placed inside an existing game engine, with facial and display animations, and IronPython doing word-sense disambiguation to pull terms and entities out of user sentences. All of it scripted, none of it a language model.
Highlights
3D head and facial animation running in a game engine.
Word-sense disambiguation for entity extraction, pre-LLM.
From hobby to product
Syn Virtual Assistant was the shipped product: sold on Steam as a paid desktop assistant, rebuilt generation after generation on the game engines of its day. It ran on SIML, the Synthetic Intelligence Markup Language: its author's own bot language, a step beyond the static markup languages of the era, letting authors train a small local model for intent matching instead of writing only fixed rules.
Highlights
Sold on Steam as a paid desktop assistant.
Multiple generations across two decades of engines.
From product to platform
Syn was reworked into the VA Framework, shipped on Steam, which let anyone build an AI assistant of their own. Alongside it came the Oscova Bot Framework: not an assistant but a bot development framework in its own right, with dialogs, intents, and entity recognition, distributed through the Syn.Bot package on NuGet since 2015. The Oscova brand was born there and is registered today; simlbot.com and oscova.com are still live, and oscova.com will soon point here.
Highlights
VA Framework on Steam: assistant tech in other people's hands.
Oscova Bot Framework, on NuGet since 2015, gave the brand its name.
The same instinct, the modern stack
Oscova Agents is the LLM-era successor: an agent OS for home and office, running local models on hardware you own, with the privacy and egress controls a household assistant deserves. At heart it is the same private assistant its author has always built.
Highlights
Durable agents as services, not chat tabs.
Local models first, your data stays home.
One install command, a browser, and hardware you already own. Meet your first agent tonight.