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achals-iglu

Remember Me

by Achal Singhal · GitHub ↗ · v0.1.2
cross-platform ✓ Security Clean
1303
Downloads
6
Stars
3
Active Installs
3
Versions
Install in OpenClaw
/install remember-me
Description
Build and maintain human-centered user understanding through structured notes, preference tracking, and behavioral context. Use when the user asks to remember things, understand them better over time, personalize responses, or keep ongoing notes about goals, habits, tone, boundaries, and recurring concerns.
Usage Guidance
This skill appears to do what it says: classify and persist user preferences/goals and use them to personalize responses. Before installing, verify where the agent will store memory files (the SKILL.md references memory/YYYY-MM-DD.md and MEMORY.md) and ensure that location meets your privacy requirements. Confirm that the agent enforces the 'Explicit Exclusions' (no raw conversation logs, no sensitive identity attributes without consent) and that it provides an easy way to list, export, and delete stored memories. Also check for any missing referenced files (promotion-checklist.md and profile-schema.md are cited but not included) and ask the skill owner how they are implemented. If you share the environment with others or need strict data isolation, delay enabling long-term memory until you understand the storage and access controls.
Capability Analysis
Type: OpenClaw Skill Name: remember-me Version: 0.1.2 The OpenClaw skill 'remember-me' is designed for an AI agent to manage user preferences, goals, and context over time. The `SKILL.md` provides detailed instructions for memory capture, storage (local markdown files like `memory/YYYY-MM-DD.md` and `MEMORY.md`), retrieval, and maintenance. It explicitly includes privacy-preserving rules, such as preferring explicit consent for sensitive details and not storing certain types of information. There are no instructions for arbitrary command execution, network communication, data exfiltration, or accessing sensitive system files. All file operations are confined to expected local directories, and the templates in `references/templates.md` are purely structural. No evidence of malicious intent or significant vulnerabilities was found.
Capability Assessment
Purpose & Capability
The skill's name/description (user memory, preferences, goals) aligns with the instructions (classify signals, append daily notes, promote to long-term memory). It requests no credentials, binaries, or installs, which is appropriate. Minor inconsistency: the SKILL.md expects the agent to write/read files (memory/YYYY-MM-DD.md, MEMORY.md and references/*), but the skill metadata lists no required config paths—confirm where the platform will store these files and whether that location is acceptable.
Instruction Scope
Instructions explicitly direct the agent to collect, classify, and persist user-related data (daily and long-term notes), and to read memory when answering. This is coherent with the purpose. The doc also forbids storing sensitive attributes and raw logs and prescribes consent/confirmation steps, which reduces risk. Ensure the agent's implementation actually honors those exclusions and that probes/check-ins are limited as described.
Install Mechanism
There is no install spec and no code files to execute; this is instruction-only, which is the lowest install risk. Nothing is downloaded or written by an installer according to the metadata.
Credentials
The skill requests no environment variables, credentials, or external service tokens—proportional to a local memory manager. There are no surprising credential asks.
Persistence & Privilege
The skill is not marked always:true and does not request elevated privileges, but the instructions rely on persistent storage (creating and reading memory files). That persistence is expected for a memory skill, but you should verify storage location, retention policy, access controls, and deletion behavior on the host/agent before enabling long-term memory.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install remember-me
  3. After installation, invoke the skill by name or use /remember-me
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v0.1.2
- Updated the description to clarify the "remember-this" trigger and expanded on memory use cases (preferences, goals, boundaries, prior work, decisions, dates, and todos). - No substantial changes to functionality or rules in the skill documentation.
v0.1.1
Forgot references
v0.1.0
Initial release of remember-me skill: establishes a structured, privacy-conscious user memory model. - Adds rule-based tagging for memory entries (FACT, PREFERENCE, GOAL, HYPOTHESIS). - Defines capture triggers and multi-tier memory storage (daily notes vs long-term profile). - Introduces workflows for classification, hypothesis generation, promotion, forgetting, and validation. - Implements explicit consent and exclusion policies for sensitive or transient information. - Establishes retrieval and personalization contracts for adapting responses. - Provides heuristics for memory impact, reinforcement, and confidence decay.
Metadata
Slug remember-me
Version 0.1.2
License
All-time Installs 3
Active Installs 3
Total Versions 3
Frequently Asked Questions

What is Remember Me?

Build and maintain human-centered user understanding through structured notes, preference tracking, and behavioral context. Use when the user asks to remember things, understand them better over time, personalize responses, or keep ongoing notes about goals, habits, tone, boundaries, and recurring concerns. It is an AI Agent Skill for Claude Code / OpenClaw, with 1303 downloads so far.

How do I install Remember Me?

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

Is Remember Me free?

Yes, Remember Me is completely free (open-source). You can download, install and use it at no cost.

Which platforms does Remember Me support?

Remember Me is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created Remember Me?

It is built and maintained by Achal Singhal (@achals-iglu); the current version is v0.1.2.

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