The problem
Starting over in every conversation wastes time.
When the model forgets your preferences, constraints, and ongoing context, every new thread begins with re-explaining the same things.
NovaKit Memory stores useful facts, preferences, and decisions across conversations so you spend less time repeating context.
Repeated context is one of the biggest sources of friction in daily AI use. NovaKit Memory helps your workspace retain important information while keeping you in control.
The problem
When the model forgets your preferences, constraints, and ongoing context, every new thread begins with re-explaining the same things.
The NovaKit approach
NovaKit lets you keep durable facts available across conversations, while still giving you the ability to inspect, edit, disable, or delete memory entries individually.
Why it matters
What you can do
Product preview
NovaKit Memory stores useful facts, preferences, and decisions across conversations so you spend less time repeating context. These previews show how the feature fits into a real workflow rather than living as a one-off capability.
Memory
NovaKit Memory stores useful facts, preferences, and decisions across conversations so you spend less time repeating context.
Workflow example
Remember your writing style, code preferences, or project constraints.
Why people upgrade
Keep preferences, recurring goals, and standing instructions available.
Common use cases
Remember your writing style, code preferences, or project constraints.
Keep recurring client context available for future sessions.
Store ongoing research assumptions and decision history.
Best fit
Great when your work spans many sessions and you want the workspace to retain useful context.
Useful for remembering writing preferences, coding conventions, or recurring goals across chats.
A fit for users who want persistent context but still need to review, edit, or remove it at any time.
Why it stands out
Frequently asked questions
Yes. NovaKit treats memory as user-controlled workspace data, so you can inspect entries and modify or delete them whenever you want.
You can control memory usage and decide which facts should persist, rather than handing over all context automatically.
Also compare
NovaKit vs ChatGPT
Best if you're deciding between hosted OpenAI convenience and a BYOK multi-model workspace.
Read comparison →
NovaKit vs Claude
Best if Anthropic is one of several models in your workflow instead of your whole stack.
Read comparison →
NovaKit vs ChatGPT Teams
Best if you're evaluating hosted vendor custody against local-first ownership and control.
Read comparison →
Learn more
'Agentic AI' is the buzzword of 2026 — but what's actually happening under the hood when an agent books your flight, refactors your code, or runs a 5-step research task? A plain-English breakdown with real examples.
Hallucinations are the #1 reason AI ships broken. A practitioner's guide to grounding, RAG, citations, structured output, eval, and the temperature settings that actually matter.
Most AI tools store your conversations on their servers. Learn how local-first AI workspaces keep your prompts, API keys, and files private with client-side encryption and zero server storage.
Ready to try it?
NovaKit combines model choice, cost visibility, privacy-first architecture, and local-first ownership in one workspace.
Free
Explore the workspace and core flow before committing.
Starter
Best for individual power users who want the essential NovaKit workflow.
Pro
Best for advanced workflows with the full feature set and future upgrades included.