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Overview

Every Agent doesn’t start from scratch in every conversation. Two systems let it carry knowledge forward and apply your preferred way of working automatically:
  • Agent Memory — the agent keeps a private, evolving notepad of facts and observations about you, available in every chat.
  • Skills — reusable guidance documents you create that tell the agent how to handle specific kinds of work.

Manage Skills

Create, enable, and edit your agent’s skills

Agent Settings

Context, voice, sources, and preferences

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Agent Memory

As you work with Every Agent, it builds up a running understanding of you and your business — open todos, project details, things you’ve mentioned, observations worth keeping. The agent writes these down to its own memory so they persist from one chat to the next. How it works:
  • The agent decides what’s worth remembering and saves it as it goes — you don’t have to manage memory yourself
  • That memory is loaded into every conversation, so the agent has its notes in view from the first message
  • Memory is private to you — in a shared workspace, teammates do not see each other’s agent memory
What lands in memory:
  • Running lists and open todos (“still need to follow up with ACME on the renewal”)
  • Observations about how you work or what you prefer
  • Project and client details the agent picked up in earlier chats
You don’t need to do anything to turn memory on. If you want the agent to remember something specific, just tell it — “remember that the Q3 project kicked off in June” — and it will note it.

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Memory vs. Preferences vs. Context

Every Agent has a few different ways of knowing things, and they serve different purposes:
SurfaceWhat it holdsHow it’s set
Agent MemoryFreeform recall — running lists, observations, open todosThe agent writes it as you work, automatically
Learned PreferencesStanding rules — “always do X,” “never do Y”The agent proposes a rule; you confirm it
Business ContextThe narrative of what your business is and doesYou write it, or build it from your workspace
They reinforce each other: Memory tracks the loose ends, Preferences enforce hard rules, and Business Context gives the big picture. Manage standing rules in Agent → Preferences; manage Business Context in Agent → Context.

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Skills

Skills are short guidance documents that tell Every Agent how you want certain tasks done. Instead of repeating the same instructions every time, you capture them once as a skill, and the agent applies it automatically whenever it’s relevant. A skill is plain language — there’s no code involved. For example:
  • An Invoice Formatting skill that always adds your payment terms to the notes field and uses formal descriptions
  • A Client Communication skill that sets the tone and formality of outbound messages
  • A Gmail skill that defines how the agent should triage and reply to email

Manage Skills

Create and manage your organization’s skills

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How Skills Get Applied

Active skills are available to the agent in every chat. When your request matches a skill’s purpose, the agent reads the skill and follows it — you don’t have to mention the skill by name. 
You: "Create an invoice for ACME Corp for $2,000"
→ The agent applies your Invoice Formatting skill automatically:
  payment terms in the notes, formal line-item descriptions, your preferred format.
You can turn individual skills on or off, so you control exactly which guidance is active.

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Creating a Skill

There are several ways to create a skill, from fastest to most hands-on:
Add a recommended starter skill (like Gmail or Calendar management) with one click, then edit it to match how you work.
Use the editor to fill in a name, when it should apply, your guidelines, and good/bad examples — or write the markdown directly.
Open a skill and choose Tweak with AI to refine it conversationally — add rules, adjust when it applies, or add examples.

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Writing a Good Skill

The strongest skills are specific and give the agent concrete examples to follow:
  • When to apply — the situations that should trigger the skill (creating invoices, drafting emails)
  • Guidelines — clear, actionable rules (“always include payment terms in the notes field”)
  • Examples — a good example and a bad example so the agent can tell the difference
  • Exceptions — when the skill should not apply
Keep guidelines actionable, not aspirational. “Use Net 30 terms and reference the PO number” is more useful than “be professional.”

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Skills vs. Preferences vs. Context

Skills sit alongside the other ways you teach the agent:
  • Use a Skill for how to do a kind of task (how to format invoices, how to draft a proposal)
  • Use a Learned Preference for a single standing rule (“ACME always gets Net 15”)
  • Use Business Context for what your business is (services, pricing logic, who you serve)

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A Note on Credits

Memory and skills are part of how the agent works in chat — agent conversations consume credits. See What is a credit? for how that works.

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Next Steps

Every Agent

See how the agent uses memory and skills day to day

Context & Voice

Teach the agent what your business is and how it sounds

Heartbeat

Put skills and memory to work in recurring automated runs

Connect AI Tools

Give the agent more to reach with external connections
Need help? Contact support at hello@every.ai