Individual skill
tiered-memory
Three-tier agent memory model (hot/cold/wiki) for context reduction per spawn
.squad-templates/skills/tiered-memory/SKILL.md
Source commit 12fbcb5ac4b4075abb5d2ce743f4ba1be77e0200
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- Instructions only
- Last checked
- Nov 3, 2026
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- Repository last updated
- Nov 6, 2026
- License
- MIT
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- ai Repository topic
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# Skill: Tiered Agent Memory
> **Status (v0.10.0):** This skill describes a **design proposal**, not a shipped runtime. Skill files install via `squad init`/`upgrade`, but the underlying tier scaffolding (`.squad/memory/hot/`, `cold/`, `wiki/`), Scribe promotion logic, and spawn-template tier-aware reads are tracked in [bradygaster/squad#1264](https://github.com/bradygaster/squad/issues/1264). Until those land, agents continue to load full `history.md` + `decisions.md` on every spawn.
## Overview
Squad agents today load their full context history on every spawn, which grows unboundedly across sessions. The Tiered Agent Memory model proposes a three-tier separation so agents only load the bytes that are actually relevant to the current task, with older context kept available on demand.
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## Memory Tiers
### 🔥 Hot Tier — Current Session Context
- **Size target:** keep small (~2–4KB typical)