Keep the reason for a decision.
The next person or agent needs to know why you chose an approach and which constraints mattered. Becki keeps that reasoning with the outcome.
05 / Company
Built because
the thread kept breaking.
Every new AI tool meant explaining the same work again. Bryan built Becki to keep that context available between tools.
01 / Why Becki
The same context.
Again. And again.
“Becki started as my own problem. Re-explaining the same context to every AI tool, every conversation, every repo. Losing the thread between them.”
Bryan Dos Santos · Founder
Bryan made decisions in one conversation, then had to explain them again in the next tool or repository.
He built a memory layer the tools could share. It keeps decisions, failed approaches and project context outside any one chat's history.
As Bryan puts it in the original company story: “So I built the thing I wanted: one memory that sits underneath every tool you use.”
What that became ↗02 / What is worth keeping
Not every message.
The thinking that matters.
A dead end is useful work.
A failed approach should be something an agent can retrieve, not just a passage buried in a transcript. That gives it a chance to avoid repeating the attempt.
Keep context when you change tools.
Editors, models and workspaces change. MCP lets supported, authorized clients use the same memory without keeping it in one vendor's chat history.
03 / Who is building it
Bryan
Dos Santos.
Founder / Becki
Bryan built Becki after running into this problem in his own work.
Bryan on LinkedIn ↗“Your decisions, your dead ends, your context, held in one place and on your terms.” That is the promise in Bryan's original company story: continuity without giving one tool ownership of the whole history.
Have a use case the product needs to support? Write to support@becki.io. For installation, subscriptions or an existing account, support@becki.io is the support address.
04 / Where the work happens
Becki remembers.
Astir works with it.
The memory and the workspace have different responsibilities.
Becki stores the project context. Astir lets you use it while working with an agent, alongside files, terminal output, previews and Git review. You configure the model and tools.
Astir is the desktop workspace plan, alongside Core's memory layer. Team and Enterprise are coming soon. You can keep the same Becki account and subscription route.
You can keep using Becki in existing MCP-compatible clients. You do not need to change workspaces to keep your reasoning.
Explore the relationship05 / On your terms
Ownership needs
clear boundaries.
The original company page describes encrypted local files and opt-in, text-only sync. The wider published product documentation also describes an account-scoped cloud retrieval copy. Those are different parts of the system, not a claim that all processing is offline.
Local transcription runs on your device; configured cloud transcription sends audio to the selected provider. Synced vault text can be read by the service, and selected context can reach configured AI providers. Becki is not zero-knowledge. Becki does not sell your data or use it to train models; connected providers have their own terms and account settings.
Read the actual trust model, security controls and privacy policy. Export, deletion and explicit authorization are part of owning the memory—not an afterthought to a slogan.
Keep building.
Stop re-explaining.
Start with the memory in the tools you already use.
Get started with Becki ↗ Read the setup guide