This page walks through what Inkfold does in four everyday situations: planning a trip, a long research or writing project, a freelancer working with several clients, and a small business.
A trip to Japan in April: dates, budget, dietary needs and travel preferences settled once, available to whichever model answers next.
Sources, notes and half-finished arguments carried from one session to the next, months apart, without repeating the background every time.
Each client's tone, constraints and history kept separate, so a question about Client A never leaks context from Client B.
Pricing, policies and standard answers settled once and reused by everyone on the team who asks a model for help.
How Inkfold works: the shared memory, the storage modes and where Inkfold stands today. The presenter is generated by a model, not a real person.
Inkfold keeps what matters from your conversations: projects, preferences and the facts you have settled, each with its source. It links people, places and topics into a map of your context — the context map — so a question next month starts from what you already said instead of from nothing.
You do not pick which memories to include. Inkfold looks at the question, searches the context map for what is relevant, and adds only that — within a size budget, so the model gets a focused brief rather than your entire history.
Inkfold works with the major model vendors: OpenAI, Anthropic, Google, DeepSeek, Mistral, xAI and more. Add your own key for each, or a single OpenRouter key that reaches all of them. A spending view shows what each model has cost you, with budget rules you set. Automatic model choice by task and cost is coming — today, you choose.
Four modes put several models to work on the same question, each suited to a different kind of decision.
Example: the researcher asks the same question of two models and reads both summaries before deciding which citations to trust.
Example: the small business asks for a refund policy and Council merges several models' drafts into a single, considered version.
Example: the freelancer asks whether a contract clause is standard, and Debate has models argue it out until they agree.
Example: the trip itinerary goes through a pipeline stage that plans the days, drafts the details, checks the plan for gaps, and polishes the wording.
The composer can improve, rephrase or tune a prompt for the model you picked, so a rushed question becomes a clearer one. A shared library holds ready-made personas, playbooks and routines that people publish, rate and adapt — such as a research playbook that goes from sources, to citations, to a summary. The library is in beta.
The mode is chosen per conversation, and no mode is behind a paid plan.
Inkfold stores and indexes conversation content on its servers, encrypted at rest with a key Inkfold manages, so it can find the right context for you.
Content is encrypted in your browser with a key derived from your passphrase before it is stored, so Inkfold cannot read it and memory features are limited.
Nothing from the conversation is stored after it ends.
A team can share a workspace and its memory, so a decision settled once by one person reaches the rest of the team's questions. Team workspaces are in beta.