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tincomking

Tinmem Memory System

by tincomking · GitHub ↗ · v1.0.0
cross-platform ⚠ suspicious
465
Downloads
0
Stars
1
Active Installs
1
Versions
Install in OpenClaw
/install tinmem
Description
Provides persistent memory management for storing, retrieving, updating, and deleting user-related information across conversations in OpenClaw AI.
Usage Guidance
Before installing or enabling this skill, ask the developer or registry operator to clarify: (1) Where exactly are memories stored (filesystem path)? Who can access that storage? (2) Is data encrypted at rest and in transit? (3) How is 'automatic extraction after each turn' scoped—what data is captured and under what rules? (4) How does memory_forget guarantee deletion (and is deletion propagated to backups)? (5) Are there retention and consent controls? (6) Who operates the LanceDB instance and what permissions does it need? If you cannot get clear answers and a trustworthy source code or homepage, treat this as high-risk for privacy and test only in a sandboxed environment or decline to install.
Capability Analysis
Type: OpenClaw Skill Name: tinmem Version: 1.0.0 The OpenClaw Tinmem skill bundle is classified as suspicious due to significant prompt injection vulnerabilities identified in `SKILL.md`. The `memory_store` and `memory_update` tools allow an attacker to store arbitrary content, which is then 'automatically injected into context before each response'. This creates a persistent prompt injection risk, enabling an attacker to manipulate the agent's future behavior. Furthermore, the `memory_recall` tool can retrieve 'full content' (L2) of potentially sensitive memories (e.g., user profiles, entities), and `memory_forget` could be used to erase critical information or audit trails, facilitating data exfiltration or evasion through agent manipulation.
Capability Assessment
Purpose & Capability
Name and description (persistent memory) align with the SKILL.md tools (store, recall, update, forget). However, the SKILL.md explicitly states memories persist in a local LanceDB database while the skill provides no install steps, no config paths, and no detail about where that database lives—an implementation detail mismatch that should be clarified.
Instruction Scope
Instructions direct the agent to automatically inject memories into context before each response and automatically extract new memories after each conversation turn. That implies continual collection and reuse of potentially sensitive user data across sessions and responses, which is broader than many users expect and isn't constrained by retention, consent, or filtering rules in the doc.
Install Mechanism
No install spec or code is provided (instruction-only). That reduces immediate disk risk, but the README claims use of a local LanceDB database (which would require filesystem access and some runtime components). The lack of install/runtime details is an inconsistency to resolve.
Credentials
The skill requests no environment variables or credentials, yet its behavior involves persistent local storage and automatic data extraction/injection. There is no mention of config paths, encryption, access control, retention policy, or how deletion (forget) is enforced—so the privacy/credential model is underspecified and disproportionately open.
Persistence & Privilege
The skill does not set always:true, but it instructs the agent to persist data across sessions and to automatically inject memories into context on every response. That grants the agent broad persistence and data reuse capability; without clear limits or user consent controls, this is a meaningful privilege and privacy risk.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install tinmem
  3. After installation, invoke the skill by name or use /tinmem
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Initial release: 6-category classification, hybrid retrieval, LLM deduplication, multi-scope isolation, SQL injection protection, atomic updates
Metadata
Slug tinmem
Version 1.0.0
License
All-time Installs 1
Active Installs 1
Total Versions 1
Frequently Asked Questions

What is Tinmem Memory System?

Provides persistent memory management for storing, retrieving, updating, and deleting user-related information across conversations in OpenClaw AI. It is an AI Agent Skill for Claude Code / OpenClaw, with 465 downloads so far.

How do I install Tinmem Memory System?

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

Is Tinmem Memory System free?

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

Which platforms does Tinmem Memory System support?

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

Who created Tinmem Memory System?

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

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