Local-First Intelligence
Run capable assistants close to the work. Use local models and local data stores to reduce unnecessary exposure to distant systems.
Private AI command center
You are the singularity
Your AI. Your Models. Your Data. Your Rules.
Cenedril is a local-first AI control system for building private, mission-ready assistants that can use your files, switch between models, and keep working even when the internet is gone.
Private runtimeRun local first
Model controlSwitch by mission
Proof memoryContext stays attached
ModelsAdd, load, and switch local or hybrid models.
RuntimeSee exactly what is running and where.
Local DataEngage private files only when needed.
Web AccessOpen or close the live web per situation.
CollectionsSelect research archives, PDFs, and knowledge bases.
Agent SelectionChoose a saved assistant and assign its model.
Research InputAsk, dictate, paste, or add source material.
Local when possible.Keep sensitive work close to the operator by running local models and local data stores.
Network when useful.Make web access and foundation-model APIs explicit tools instead of hidden dependencies.
Human-confirmed.Models propose. Operators decide. Evidence and context stay attached to the work.
Core system modules
Not a chatbot. A private AI operations layer.
Cenedril is designed around model control, agent identity, user-owned data, visible permissions, and continuity in the real world.
Multi-Model Agents
Add multiple models, switch between them, and assign the right model to the right assistant, task, or operational mode.
Bring Your Own Data
Load folders, files, documents, PDFs, research archives, structured records, and knowledge bases into selected collections.
Access Control Toggles
Quickly decide whether local data, selected collections, or web access are available for the current question or mission.
Offline-Ready
When the required models and data are local, Cenedril can keep working in vehicles, basements, remote sites, field operations, or disaster zones.
Built for Real Work
Designed for operators who need proof, continuity, inspectable records, and practical decision support instead of decorative novelty.
Access switchboard
Turn context on only when the situation calls for it.
The interface makes data permissions visible: local memory, selected collections, and live web can each be opened or closed for a given research run.
Mission ContextLOCAL + COLLECTIONS
Ready for offline research using local memory and selected collections. Web is locked out.
Evidence-aware research
Every run should expose the system state.
The page design treats Cenedril like mission control: users see which tools are engaged, what evidence was used, what model is active, and which agent is responding.
Visible source stateSelected agent identityCollection-specific contextOperator-controlled permissions
Operational workflow
From model rack to field-ready assistant.
Add Models
Load local models, connect approved APIs, or run hybrid depending on the task.
Create Agents
Define assistant roles, memory boundaries, style, model assignment, and tool permissions.
Attach Data
Add folders, PDFs, research archives, project records, and knowledge bases.
Deploy Context
Run with local data, selected collections, web access, or fully offline mission packages.
Recommended site architecture
Pages built for both users and strategic buyers.
HomeHero, command-center proof, feature cards, quick CTA.
ProductModels, agents, data stores, permissions, offline workflow.
Early PartnersC-suite independence thesis, consulting paths, buildout offers.
Download / AccessOpen-source path, documentation, GitHub, onboarding request.
Use CasesSmall business, research teams, field ops, vehicles, remote locations.
Docs / KnowledgeOperator guides, model setup, data import, safety boundaries.
Cenedril Research Terminal
Build assistants that stay close to the work.
Use the prototype page as the public-facing foundation: serious, operational, local-first, and built for people who need capability without surrendering control.