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Tiered, low-token project memory protocol for .toh/memory/ — 7 files across 3 tiers (Tier 1 active.md + summary.md always read, ~800 tokens; Tier 2 architecture/components for build work and changelog for debug work; Tier 3 decisions/agents-log only on demand). Auto-saves after t
Tiered, low-token project memory protocol for .toh/memory/ — 7 files across 3 tiers (Tier 1 active.md + summary.md always read, ~800 tokens; Tier 2 architecture/components for build work and changelog for debug work; Tier 3 decisions/agents-log only on demand). Auto-saves after task completion with zero user effort; delegated agents receive context from the orchestrator instead of re-reading. Use at every session start and whenever loading or saving project memory or resuming context across sessions and IDEs.
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Purpose: Tiered, low-token memory — load only what the task needs, save what matters Version: 2.0.0 For: Toh Framework v2.0.0+ Updated: 2026-07-14
Automatic memory that keeps AI in context across sessions with zero user effort. v2 replaces the old "read all files every time" mandate with tiered loading: Tier 1 is always read (~800 tokens), Tier 2 is read only for the relevant task type, Tier 3 only when explicitly referenced.
There are 7 memory files across 3 tiers. Read by tier, not all at once.
| Tier | Files | When to read | Budget |
|---|---|---|---|
| Tier 1 | active.md + summary.md | ALWAYS, at every session start | ~800 tokens |
| Tier 2 | architecture.md + components.md | Build / code work (creating pages, components, logic) | ~600 tokens |
| Tier 2 | changelog.md | Debug work (to see previous attempts) | ~400 tokens |
| Tier 3 | decisions.md + agents-log.md | Only when explicitly referenced / asked about | on demand |
This replaces the old "read ALL files (MANDATORY)" rule. Never bulk-read all 7. Read Tier 1 always, add the Tier 2 files that match the task type, and touch Tier 3 only when needed.
Delegated agents: an agent invoked by the orchestrator receives context from the orchestrator and does NOT re-read memory itself. This avoids every agent re-reading the same files.
.toh/
├── config.json # Toh configuration
└── memory/
├── active.md # 🔥 Tier 1 — current task (~300 tokens)
├── summary.md # 📋 Tier 1 — project shape (~500 tokens)
├── architecture.md # 🏗️ Tier 2 — structure (build/code work)
├── components.md # 📦 Tier 2 — component registry (build/code work)
├── changelog.md # 📝 Tier 2 — change/attempt log (debug work)
├── decisions.md # 🧠 Tier 3 — key decisions (when referenced)
├── agents-log.md # 🤖 Tier 3 — agent activity (when referenced)
└── archive/ # 📦 Historical — load only when asked
agents-log.md stays a separate file — it is NOT merged into changelog.md.
STEP 1 — Ensure memory exists
.toh/memory/ exists? → continue · missing? → create from templates
STEP 2 — Read Tier 1 (ALWAYS, in parallel)
├── active.md → what we're working on
└── summary.md → what this project is
Budget: ~800 tokens.
STEP 3 — Add Tier 2 by task type
├── Build / code (create page, component, logic)
│ → also read architecture.md + components.md
└── Debug (fix a bug)
→ also read changelog.md (see prior attempts)
STEP 4 — Tier 3 only if referenced
User asks "why did we decide X?" → read decisions.md
User asks about past agent runs → read agents-log.md
STEP 5 — Acknowledge briefly
"Memory loaded 📚 — working on [X]. Just completed [Y]. Ready to continue."
Do not read archive/ during normal work — only when the user asks about past work or runs a history command.
STEP 1 — active.md → ALWAYS update (current focus, in-progress, next steps)
STEP 2 — summary.md → update when the PROJECT SHAPE changes
(feature completed, tech/stack change, new major area)
STEP 3 — architecture.md → update if structure changed (new route/module/service, data flow)
STEP 4 — components.md → update if components/hooks/stores/utils changed
STEP 5 — changelog.md → append what changed / what was attempted (esp. debug work)
STEP 6 — decisions.md → add row only if a real decision was made
STEP 7 — agents-log.md → append if agents were delegated
STEP 8 — Confirm: "✅ Memory saved"
Write rules: always update active.md; update summary.md when the project shape changes; update the rest only when relevant to what actually happened. Keep entries concise (1-2 lines). If active.md grows past ~50 lines, roll older content into archive/YYYY-MM-DD.md.
| File | Tier | Holds | Update when |
|---|---|---|---|
active.md | 1 | Current focus, in-progress, next steps | Always |
summary.md | 1 | Project name, stack, completed features | Project shape changes |
architecture.md | 2 | Entry points, modules, data flow, services | Structure changes |
components.md | 2 | Pages, components, hooks, stores, utils registry | Components change |
changelog.md | 2 | Chronological change & debug-attempt log | Every notable change |
decisions.md | 3 | Date · Decision · Reason table | A real decision is made |
agents-log.md | 3 | Which agent did what, when | Agents are delegated |
# 🔥 Active Task
## Current Focus
[Awaiting user instructions]
## In Progress
- (none)
## Next Steps
- (awaiting)
---
*Last updated: YYYY-MM-DD*
# 📋 Project Summary
## Overview
- Name: [Project]
- Stack: Next.js 16, Tailwind, shadcn/ui, Zustand, Supabase
## Completed Features
- (none yet)
---
*Last updated: YYYY-MM-DD*
# 📝 Changelog
| Date | Change / Attempt | Result |
|------|------------------|--------|
| YYYY-MM-DD | [what changed or was tried] | [worked / failed because …] |
---
*Last updated: YYYY-MM-DD*
# 🤖 Agents Log
| Date | Agent | Task | Outcome |
|------|-------|------|---------|
| YYYY-MM-DD | [agent] | [task] | [result] |
---
*Last updated: YYYY-MM-DD*
architecture.md,components.md, anddecisions.mdkeep their existing table structures (entry points/modules, component registry, decision log).
| ❌ Don't | ✅ Do |
|---|---|
| Bulk-read all 7 files every time | Read Tier 1 always; Tier 2/3 by need |
| Make delegated agents re-read memory | Pass context from the orchestrator |
Read archive/ during normal work | Only when the user asks about the past |
| Forget to save | Always update active.md after a task |
| Ask the user whether to save | Save automatically |
Merge agents-log into changelog | Keep the 7 files distinct |
Every command applies this protocol: read Tier 1 at start, add Tier 2 for the task type, save active.md (+ relevant files) at the end. Delegated agents receive context and skip the re-read.
Memory System v2.0.0 — tiered loading, ~800-token Tier 1, 7 files across 3 tiers
name: memory-system description: > Tiered, low-token project memory protocol for .toh/memory/ — 7 files across 3 tiers (Tier 1 active.md + summary.md always read, ~800 tokens; Tier 2 architecture/components for build work and changelog for debug work; Tier 3 decisions/agents-log only on demand). Auto-saves after task completion with zero user effort; delegated agents receive context from the orchestrator instead of re-reading. Use at every session start and whenever loading or saving project memory or resuming context across sessions and IDEs. user-invocable: false # internal — model-invoked via toh-* commands, not a user /command
---
name: memory-system
description: >
Tiered, low-token project memory protocol for .toh/memory/ — 7 files across
3 tiers (Tier 1 active.md + summary.md always read, ~800 tokens; Tier 2
architecture/components for build work and changelog for debug work; Tier 3
decisions/agents-log only on demand). Auto-saves after task completion with
zero user effort; delegated agents receive context from the orchestrator
instead of re-reading. Use at every session start and whenever loading or
saving project memory or resuming context across sessions and IDEs.
user-invocable: false # internal — model-invoked via toh-* commands, not a user /command
---
# 🧠 Memory System Skill
> **Purpose:** Tiered, low-token memory — load only what the task needs, save what matters
> **Version:** 2.0.0
> **For:** Toh Framework v2.0.0+
> **Updated:** 2026-07-14
---
## Overview
Automatic memory that keeps AI in context across sessions with **zero user effort**. v2 replaces the old "read all files every time" mandate with **tiered loading**: Tier 1 is always read (~800 tokens), Tier 2 is read only for the relevant task type, Tier 3 only when explicitly referenced.
### Key principles
- ✅ **Zero config** — no setup required
- ✅ **Tiered** — Tier 1 always; Tier 2/3 on demand (no more ~3,000 tokens every time)
- ✅ **Auto save** — saves after task completion, never asks the user
- ✅ **Delegated agents don't re-read** — they receive context from the orchestrator
- ✅ **IDE & model agnostic**
---
## 📚 The Tiered Model (use this everywhere)
There are **7 memory files** across 3 tiers. Read by tier, not all at once.
| Tier | Files | When to read | Budget |
|------|-------|--------------|--------|
| **Tier 1** | `active.md` + `summary.md` | **ALWAYS**, at every session start | **~800 tokens** |
| **Tier 2** | `architecture.md` + `components.md` | Build / code work (creating pages, components, logic) | ~600 tokens |
| **Tier 2** | `changelog.md` | Debug work (to see previous attempts) | ~400 tokens |
| **Tier 3** | `decisions.md` + `agents-log.md` | Only when explicitly referenced / asked about | on demand |
> **This replaces the old "read ALL files (MANDATORY)" rule.** Never bulk-read all 7. Read Tier 1 always, add the Tier 2 files that match the task type, and touch Tier 3 only when needed.
**Delegated agents:** an agent invoked by the orchestrator **receives context from the orchestrator** and does NOT re-read memory itself. This avoids every agent re-reading the same files.
---
## 📁 Directory Structure
```
.toh/
├── config.json # Toh configuration
└── memory/
├── active.md # 🔥 Tier 1 — current task (~300 tokens)
├── summary.md # 📋 Tier 1 — project shape (~500 tokens)
├── architecture.md # 🏗️ Tier 2 — structure (build/code work)
├── components.md # 📦 Tier 2 — component registry (build/code work)
├── changelog.md # 📝 Tier 2 — change/attempt log (debug work)
├── decisions.md # 🧠 Tier 3 — key decisions (when referenced)
├── agents-log.md # 🤖 Tier 3 — agent activity (when referenced)
└── archive/ # 📦 Historical — load only when asked
```
`agents-log.md` stays a **separate** file — it is NOT merged into `changelog.md`.
---
## 🔄 Read Protocol (session start)
```
STEP 1 — Ensure memory exists
.toh/memory/ exists? → continue · missing? → create from templates
STEP 2 — Read Tier 1 (ALWAYS, in parallel)
├── active.md → what we're working on
└── summary.md → what this project is
Budget: ~800 tokens.
STEP 3 — Add Tier 2 by task type
├── Build / code (create page, component, logic)
│ → also read architecture.md + components.md
└── Debug (fix a bug)
→ also read changelog.md (see prior attempts)
STEP 4 — Tier 3 only if referenced
User asks "why did we decide X?" → read decisions.md
User asks about past agent runs → read agents-log.md
STEP 5 — Acknowledge briefly
"Memory loaded 📚 — working on [X]. Just completed [Y]. Ready to continue."
```
Do **not** read `archive/` during normal work — only when the user asks about past work or runs a history command.
---
## 💾 Save Protocol (after completing work)
```
STEP 1 — active.md → ALWAYS update (current focus, in-progress, next steps)
STEP 2 — summary.md → update when the PROJECT SHAPE changes
(feature completed, tech/stack change, new major area)
STEP 3 — architecture.md → update if structure changed (new route/module/service, data flow)
STEP 4 — components.md → update if components/hooks/stores/utils changed
STEP 5 — changelog.md → append what changed / what was attempted (esp. debug work)
STEP 6 — decisions.md → add row only if a real decision was made
STEP 7 — agents-log.md → append if agents were delegated
STEP 8 — Confirm: "✅ Memory saved"
```
**Write rules:** always update `active.md`; update `summary.md` when the project shape changes; update the rest **only when relevant** to what actually happened. Keep entries concise (1-2 lines). If `active.md` grows past ~50 lines, roll older content into `archive/YYYY-MM-DD.md`.
---
## 🗂️ File Reference
| File | Tier | Holds | Update when |
|------|------|-------|-------------|
| `active.md` | 1 | Current focus, in-progress, next steps | **Always** |
| `summary.md` | 1 | Project name, stack, completed features | Project shape changes |
| `architecture.md` | 2 | Entry points, modules, data flow, services | Structure changes |
| `components.md` | 2 | Pages, components, hooks, stores, utils registry | Components change |
| `changelog.md` | 2 | Chronological change & debug-attempt log | Every notable change |
| `decisions.md` | 3 | Date · Decision · Reason table | A real decision is made |
| `agents-log.md` | 3 | Which agent did what, when | Agents are delegated |
---
## 📝 Templates
### active.md (Tier 1)
```markdown
# 🔥 Active Task
## Current Focus
[Awaiting user instructions]
## In Progress
- (none)
## Next Steps
- (awaiting)
---
*Last updated: YYYY-MM-DD*
```
### summary.md (Tier 1)
```markdown
# 📋 Project Summary
## Overview
- Name: [Project]
- Stack: Next.js 16, Tailwind, shadcn/ui, Zustand, Supabase
## Completed Features
- (none yet)
---
*Last updated: YYYY-MM-DD*
```
### changelog.md (Tier 2 — debug)
```markdown
# 📝 Changelog
| Date | Change / Attempt | Result |
|------|------------------|--------|
| YYYY-MM-DD | [what changed or was tried] | [worked / failed because …] |
---
*Last updated: YYYY-MM-DD*
```
### agents-log.md (Tier 3)
```markdown
# 🤖 Agents Log
| Date | Agent | Task | Outcome |
|------|-------|------|---------|
| YYYY-MM-DD | [agent] | [task] | [result] |
---
*Last updated: YYYY-MM-DD*
```
> `architecture.md`, `components.md`, and `decisions.md` keep their existing table structures (entry points/modules, component registry, decision log).
---
## ⚠️ Anti-Patterns
| ❌ Don't | ✅ Do |
|----------|-------|
| Bulk-read all 7 files every time | Read Tier 1 always; Tier 2/3 by need |
| Make delegated agents re-read memory | Pass context from the orchestrator |
| Read `archive/` during normal work | Only when the user asks about the past |
| Forget to save | Always update `active.md` after a task |
| Ask the user whether to save | Save automatically |
| Merge `agents-log` into `changelog` | Keep the 7 files distinct |
---
## 🔗 Integration
Every command applies this protocol: read Tier 1 at start, add Tier 2 for the task type, save `active.md` (+ relevant files) at the end. Delegated agents receive context and skip the re-read.
---
*Memory System v2.0.0 — tiered loading, ~800-token Tier 1, 7 files across 3 tiers*
Skill source recorded
Skill instructions are recorded. This is not a runtime test, safety guarantee or compatibility certification.
Review before install: Avoid automatic install
Listed tools are metadata hints, not tested compatibility. Agent prompts are suggested handoffs.
Check the source for dependencies, API keys and third-party costs. A public repository does not mean every service is free.
Repository metadata and review signals are advisory. Popularity, source discovery and successful execution are different facts.
Version reported in registry metadata; check source releases before relying on it.
Quality
67/100
Promising
Trust
65/100
Sandbox only
Audit
78/100
Needs review
This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.
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"agent_contract": {
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"recommended_action": "Do not auto-install. Inspect the source, dependencies, and permission surface first.",
"install_policy": "block",
"minimum_review_before_use": [
"Trust: 73/100 Strong shortlist",
"Audit: 78/100 Needs review",
"Safety: 38/100 Avoid automatic install",
"Review repository, license, install command, and permission surface before production use."
],
"expected_agent_output": {
"selected_skill": "wasintoh-memory-system (memory-system)",
"install_command": "npx skills add wasintoh/toh-framework --skill memory-system",
"risk_summary": "Needs review; Blocked for auto-install; Review before production",
"verification_result": "Report the smallest successful task, files touched, warnings, and any missing setup."
}
},
"outcome_feedback": {
"endpoint": "https://www.openagentskill.com/api/agent/outcome",
"method": "POST",
"requires_resolve_event_id": true,
"event_id_source": "Use install_receipt.outcome_feedback.event_id or feedback.event_id returned by /api/agent/resolve for the current task.",
"expected_outcomes": [
"success",
"failed",
"not_relevant",
"blocked_by_risk",
"setup_required"
],
"payload_template": {
"event_id": "<install_receipt.outcome_feedback.event_id or feedback.event_id from /api/agent/resolve>",
"skill_slug": "wasintoh-memory-system",
"task": "Use memory-system in an agent workflow",
"agent": "codex",
"outcome": "success",
"install_used": true,
"risk_blocked": false,
"setup_required": false,
"task_success": true,
"output_quality": 4,
"error_type": null,
"human_review_required": false,
"workspace": "sandbox",
"time_to_useful_ms": 120000,
"notes": "Report the smallest successful task, setup friction, files touched, and risk notes."
}
},
"endpoints": {
"web": "https://www.openagentskill.com/skills/wasintoh-memory-system",
"api": "https://www.openagentskill.com/api/agent/skills/wasintoh-memory-system",
"audit": "https://www.openagentskill.com/skills/wasintoh-memory-system/audit",
"eval": "https://www.openagentskill.com/api/agent/evals?slug=wasintoh-memory-system&task=Use%20memory-system%20in%20an%20agent%20workflow&max_risk=medium",
"resolve": "https://www.openagentskill.com/api/agent/resolve?task=Use%20memory-system%20in%20an%20agent%20workflow&agent=codex&max_risk=medium",
"receipt": "https://www.openagentskill.com/api/agent/receipt?task=Use%20memory-system%20in%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text",
"install": "https://www.openagentskill.com/api/skills/wasintoh-memory-system/install",
"manifest": "https://www.openagentskill.com/api/registry/manifest/wasintoh-memory-system"
}
}Listing source
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