Memory System

Try this to query team decisions:

What decisions has the team made about testing strategy?

Try this to establish a new rule:

Always use single quotes in TypeScript

Try this to check agent knowledge:

What does Kane remember about the authentication system?

Squad remembers everything — decisions, conventions, architecture patterns, and individual agent learnings. Memory grows with every session, making agents smarter over time.


Memory Layers

Squad’s memory is layered. Each layer serves a different purpose, and knowledge grows with every session.


Personal Memory: history.md

Each agent has its own history file at .ai-team/agents/{name}/history.md. After every session, agents append what they learned — architecture decisions, conventions, file paths, user preferences.

Only that agent reads its own history. This means each team member builds specialized knowledge about their domain.

After a few sessions, agents stop asking questions they’ve already answered.

Progressive summarization

Histories grow over time. When an agent’s history.md exceeds ~12KB, older entries are archived into a summary section. Recent entries stay detailed; older entries are condensed. This keeps the file within a useful context budget without losing accumulated knowledge.


Shared Memory: decisions.md

Team-wide decisions live in .ai-team/decisions.md. Every agent reads this before working. This is the team’s shared brain.

Decisions are captured three ways:

1. From agent work

When an agent makes a decision during a task, it writes to the inbox:

.ai-team/decisions/inbox/{agent-name}-{slug}.md

2. From user directives

When you say “always…” or “never…”, it’s captured as a directive:

> Always use single quotes in TypeScript
> Never use inline styles
> Prefer named exports over default exports

These go directly into decisions.md.

3. Scribe merges

The Scribe agent (a silent team member) periodically:

  1. Reads all entries from .ai-team/decisions/inbox/
  2. Merges them into the canonical decisions.md
  3. Deduplicates overlapping decisions
  4. Propagates updates to affected agents

Decision archiving

As your project grows, decisions.md accumulates hundreds of blocks. Stale sprint artifacts, completed analysis docs, and one-time planning fragments consume context window space without adding value. When this happens, old decisions are archived to .ai-team/decisions-archive.md — preserved for reference but no longer loaded into agent context.

Active decisions (ongoing policies, user preferences, current architecture) stay in decisions.md. Agents always read the lean, current shared brain.


Skills

Reusable knowledge files at .ai-team/skills/{skill-name}/SKILL.md. See Skills System for details.

Skills differ from decisions — decisions are project policies (“use PostgreSQL”), while skills are transferable techniques (“how to set up CI with GitHub Actions”).


How Memory Compounds

Stage What agents know
🌱 First session Project description, tech stack, your name
🌿 After a few sessions Conventions, component patterns, API design, test strategies
🌳 Mature project Full architecture, tech debt map, regression patterns, performance conventions

Memory Architecture

.ai-team/
├── decisions.md                          # Shared — all agents read this
├── decisions/inbox/                      # Drop-box for parallel writes
│   ├── kane-api-versioning.md
│   └── dallas-component-structure.md
├── agents/
│   ├── kane/
│   │   └── history.md                    # Kane's personal memory
│   ├── dallas/
│   │   └── history.md                    # Dallas's personal memory
│   └── lambert/
│       └── history.md                    # Lambert's personal memory
└── skills/
    ├── squad-conventions/SKILL.md        # Starter skill
    └── ci-github-actions/SKILL.md        # Earned skill

Tips

  • Commit .ai-team/ — anyone who clones the repo gets the team with all their accumulated knowledge.
  • Directives (“always…”, “never…”) are the fastest way to shape team behavior. Use them liberally.
  • If an agent keeps making the same mistake, check decisions.md — the relevant convention might be missing.
  • You can edit decisions.md and history.md files directly. They’re plain Markdown.
  • The first session is always the least capable. Give the team a few sessions to build up context.

Sample Prompts

what does Kane remember about the authentication system?

Queries a specific agent’s personal history for relevant context.

show me the team decisions about API design

Searches the shared decisions.md file for a particular topic.

what happened in the last session?

Reviews session history and recent agent learnings.

always use single quotes in TypeScript

Adds a directive to the shared decisions that all agents will follow.

search past decisions for database choices

Finds historical decisions related to a specific topic or keyword.