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justinhartbiz

Dory-Proof Memory System

by justinhartbiz · GitHub ↗ · v1.0.0
cross-platform ✓ Security Clean
2300
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Install in OpenClaw
/install dory-memory
Description
File-based memory system for AI agents that forget between sessions. Implements the "Dory-Proof" pattern for continuity across context resets. Use when setting up agent memory, building workspace structure, implementing task tracking, or preventing context-loss errors. Triggers on "memory system", "remember between sessions", "Dory pattern", "agent continuity", or "workspace setup".
README (SKILL.md)

Dory-Proof Memory System

AI agents forget everything between sessions. This skill implements a file-based memory system that survives context resets.

Core Principle

Text > Brain. Write everything down. Files are memory. The agent only "remembers" what's on disk.

The Dory-Proof Pattern (Critical)

When the user gives a task:

  1. IMMEDIATELY write their EXACT WORDS to state/ACTIVE.md
  2. Then interpret what it means
  3. Then do the work
  4. Mark complete when done

Why: Paraphrasing introduces drift. Exact words preserve intent across context flushes.

Workspace Structure

workspace/
├── AGENTS.md        # Operating rules (system file, don't rename)
├── SOUL.md          # Identity + personality
├── USER.md          # About the human
├── MEMORY.md        # Curated long-term memory (\x3C10KB)
├── LESSONS.md       # "Never again" safety rules
├── TOOLS.md         # Tool-specific notes
│
├── state/           # Active state (check every session)
│   ├── ACTIVE.md    # Current task (exact user words)
│   ├── HOLD.md      # Blocked items (check before acting!)
│   ├── STAGING.md   # Drafts awaiting approval
│   └── DECISIONS.md # Recent choices with timestamps
│
├── memory/          # Historical
│   ├── YYYY-MM-DD.md
│   ├── recent-work.md
│   └── archive/
│
└── ops/             # Operational
    └── WORKSPACE-INDEX.md

Boot Sequence (Every Session)

  1. Read state/HOLD.md — what's BLOCKED
  2. Read state/ACTIVE.md — current task
  3. Read state/DECISIONS.md — recent choices
  4. Read memory/recent-work.md — last 48 hours
  5. Read MEMORY.md — long-term (main session only)

Output status line after boot:

📋 Boot: ACTIVE=[task] | HOLD=[n] items | STAGING=[n] drafts

State File Formats

state/ACTIVE.md

## Current Instruction
**User said:** "[exact quote]"
**Interpretation:** [what you think it means]
**Status:**
- [ ] Step 1
- [ ] Step 2

state/HOLD.md

[YYYY-MM-DD HH:MM | session] Item — reason blocked

ALL agents must check before acting on anything that looks ready.

state/DECISIONS.md

[YYYY-MM-DD HH:MM | session] Decision made

Conflict Resolution

When files conflict, priority (highest first):

  1. state/HOLD.md — blocks override all
  2. state/ACTIVE.md — current instruction
  3. state/DECISIONS.md — recent choices
  4. AGENTS.md — general rules

Memory Scoring (Before Saving to MEMORY.md)

Score on 4 axes (0–3 each):

Axis 0 1 2 3
Longevity Gone tomorrow Weeks Months Years+
Reuse One-off Occasional Frequent Every session
Impact Trivial Nice to know Changes outputs Changes decisions
Uniqueness Obvious Slightly helpful Hard to rederive Impossible without

Save if: Total ≥ 8, OR any axis = 3 AND total ≥ 6.

Quick Setup

Copy template files from assets/templates/ to your workspace:

cp -r skills/dory-memory/assets/templates/* ~/.openclaw/workspace/

Then customize SOUL.md and USER.md for your agent.

References

  • references/IMPLEMENTATION-GUIDE.md — Full setup walkthrough
  • references/ANTI-PATTERNS.md — Common mistakes to avoid
Usage Guidance
This skill appears to do what it says: implement a persistent, file-based memory for agents. Before installing, consider these points: - Privacy: the Dory pattern explicitly tells the agent to record the user's exact words verbatim. Do NOT ask the agent to 'remember' passwords, API keys, payment details, or other secrets — those will be stored on disk. - Storage location: the templates and runtime files live under ~/.openclaw/workspace; confirm you are comfortable with persistent files there and set strict filesystem permissions (e.g., restrict to your user) if needed. - Retention and pruning: follow the guidance to keep MEMORY.md small and archive/prune logs regularly to limit long-term exposure of sensitive content. - Testing: try this in an isolated or sandbox workspace first to verify the file layout and behavior. The cp command in the docs (cp -r skills/dory-memory/assets/templates/* ~/.openclaw/workspace/) assumes the asset path exists; you may need to copy templates manually if the runtime packaging differs. - Operational safeguards: if you need the agent to remember anything sensitive, use a secure secret store rather than these plaintext files; add redaction or explicit 'do not persist' rules in AGENTS.md or LESSONS.md. If you accept the tradeoffs (persistent plaintext memory vs improved continuity), the skill is consistent and can be used. If you cannot allow verbatim persistence of user content, do not enable it or modify the instructions to redact sensitive fields first.
Capability Analysis
Type: OpenClaw Skill Name: dory-memory Version: 1.0.0 The skill implements a file-based memory system for AI agents, which inherently requires file system access and direct instructions to the agent. While the `cp -r` command in `SKILL.md` and `mkdir -p` in `references/IMPLEMENTATION-GUIDE.md` are high-risk capabilities, they are used for local setup of the workspace and are clearly aligned with the stated purpose. The strong instructions to the agent in `SKILL.md` and `references/IMPLEMENTATION-GUIDE.md` (e.g., 'IMMEDIATELY write their EXACT WORDS') are a form of prompt injection, but their objective is to ensure fidelity of user input and implement the memory system, not to subvert the agent. Furthermore, `assets/templates/LESSONS.md` and `references/ANTI-PATTERNS.md` contain explicit safety rules (e.g., 'Ask before external actions', 'trash > rm', 'Never use isolated agentTurn for social media posting') that actively promote secure and responsible agent behavior. There is no evidence of intentional harmful behavior, data exfiltration, or malicious execution.
Capability Assessment
Purpose & Capability
The skill's name/description (file-based memory, 'Dory-Proof' pattern) matches what the instructions do: create/read/write workspace state and memory files. There are no unrelated binaries, environment variables, or external services requested.
Instruction Scope
Instructions direct the agent to read and write files under ~/.openclaw/workspace (state/, memory/, ops/, etc.) and to immediately write the user's exact words to state/ACTIVE.md before interpreting. This is coherent with the stated purpose, but it means any user-provided secret or personal data sent as a task will be persisted verbatim. There are no network endpoints or exfiltration steps in the instructions, but the guidance does not include redaction or secrets-handling rules.
Install Mechanism
No install spec or code files are present; this is instruction-only with bundled templates. Lowest-risk install posture — nothing is downloaded or executed outside the agent's normal file I/O.
Credentials
The skill requests no environment variables, no credentials, and no config paths outside the designated workspace. The requested file access is proportionate to a file-based memory system.
Persistence & Privilege
The skill instructs agents to create and persist files in the user's ~/.openclaw/workspace, which grants local persistence (expected for a memory system). It does not set always:true and does not modify other skills' configs. Consider file-permission and retention policies because data remains on disk between sessions.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install dory-memory
  3. After installation, invoke the skill by name or use /dory-memory
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Initial release: file-based memory for AI agents that forget
Metadata
Slug dory-memory
Version 1.0.0
License
All-time Installs 10
Active Installs 10
Total Versions 1
Frequently Asked Questions

What is Dory-Proof Memory System?

File-based memory system for AI agents that forget between sessions. Implements the "Dory-Proof" pattern for continuity across context resets. Use when setting up agent memory, building workspace structure, implementing task tracking, or preventing context-loss errors. Triggers on "memory system", "remember between sessions", "Dory pattern", "agent continuity", or "workspace setup". It is an AI Agent Skill for Claude Code / OpenClaw, with 2300 downloads so far.

How do I install Dory-Proof Memory System?

Run "/install dory-memory" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is Dory-Proof Memory System free?

Yes, Dory-Proof Memory System is completely free (open-source). You can download, install and use it at no cost.

Which platforms does Dory-Proof Memory System support?

Dory-Proof Memory System is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created Dory-Proof Memory System?

It is built and maintained by justinhartbiz (@justinhartbiz); the current version is v1.0.0.

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