How Lindy Remembers Company Context and Reuses Skills

Lindy keeps what it learns about you and your company in plain files you can open, read, and edit like a document, and it turns work you do once into reusable skills the whole team can call on. That combination is what makes it behave less like a one-off chatbot and more like a teammate: memory gives it persistent context, skills give it repeatable actions. The details below come from Lindy's own site; anything about your specific plan, seat limits, or data retention should be confirmed on the pricing page or with the vendor.

How Lindy builds memory

Lindy "learns everything about you," and per the site, that knowledge "all lives in plain files." The page shows a memory folder containing files like memory.md and memory.index.md, with entries such as:

• "Weekly report goes out Mondays, 9am."
• "Acme renewal is the priority this quarter."
• "Flo prefers charts over tables."

The important mechanic is that memory is editable, not opaque. You open the memory folder, read what Lindy has stored, and change it the way you'd edit a doc. If a preference is wrong or a priority has shifted, you correct the file rather than hoping the model forgets.

Why plain files matter for a team

• Auditable: anyone can see what context Lindy is acting on.
• Correctable: stale facts get fixed at the source.
• Portable in concept: because it's plain text, the memory isn't locked inside a proprietary format you can't inspect.

Lindy also asks before it alters anything, which is the guardrail that keeps an editable memory from becoming an editable mess.

How skills work

Lindy ships with 40+ skills, including research, data analysis, slide decks, and dashboards. The site describes the reuse loop directly: "Do something once, save it as skill, and your whole team gets it." The skills panel shows a count like "42 active" and notes that Lindy "picks the right one on its own."

So there are two layers:

The save-once pattern

1. Do a task with Lindy the way you want it done.
2. Save that run as a skill.
3. The skill becomes available to the team, and Lindy selects it automatically when a matching request comes in.

This is the difference between re-explaining a process every Monday and encoding it once.

Memory and skills together

The two features compound. Memory tells Lindy what matters ("Acme renewal is the priority"); skills tell it how to act ("Friday marketing report"). A scheduled routine like "Friday marketing report, Fridays 12:00 PM" draws on both — the skill for the format, the memory for the current priorities.

The site also notes Lindy "shows up on schedule," so recurring work like a morning brief or Monday report can be handed off on a set cadence rather than triggered manually each time.

What to check before relying on this

• Where memory lives and who can see it. The site says it's plain files; confirm the access model for your workspace.
• How skills are shared. "Your whole team gets it" implies team-level sharing — verify the scope for your plan.
• Editing permissions. If memory is editable, decide who on the team is allowed to change it.

For current plan limits and any restrictions on memory or skill sharing, check Lindy's pricing page rather than assuming a tier includes them.