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Memory System Sidecar
by
sjinopenclaw
· GitHub ↗
· v1.0.0
· MIT-0
145
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Install in OpenClaw
/install memory-system-sidecar
Description
Operate, verify, rebuild, and debug the implemented MemoryLab long-term memory sidecar feeding active task and live context files.
Usage Guidance
This skill appears coherent and limited to running repository-local refresh/verify/rebuild workflows. Before running it: (1) ensure you trust the repository code because the scripts invoke python3 unit tests and eval scripts which can execute arbitrary Python in the repo; (2) confirm python3 is available (registry metadata omitted this requirement); (3) inspect the referenced Python files (memory-system/ingest/build_index.py, memory-system/eval/run_eval.py, and the test modules) if you will run this in an environment with sensitive data or credentials — those files could make network calls or read env vars even though the skill doesn't request secrets. If you want tighter safety, run the scripts in an isolated environment (container/VM) or review the code prior to execution.
Capability Analysis
Type: OpenClaw Skill
Name: memory-system-sidecar
Version: 1.0.0
The skill bundle is a set of administrative utilities for managing a 'MemoryLab' long-term memory system. It contains shell scripts (e.g., refresh_memory_system.sh, verify_memory_system.sh) that act as wrappers for local Python modules and testing frameworks. The instructions in SKILL.md and the documentation in references/ are consistent with the stated purpose of maintaining project state and indexes, with no evidence of data exfiltration, malicious execution, or harmful prompt injection.
Capability Assessment
Purpose & Capability
The skill is declared as an instruction-only operator for the repo's memory sidecar and all actions map to local repo operations (refresh, verify, rebuild). Small mismatch: the runtime commands invoke python3 and repo wrapper scripts but the registry metadata lists no required binaries; this is a minor documentation gap (python3 is implicitly required).
Instruction Scope
SKILL.md directs the agent to run three repository wrapper scripts and to inspect files under memory/, memory-system/, history/, and related docs. The instructions do not ask the agent to read or exfiltrate unrelated system files or environment variables and they point only to project-local artifacts.
Install Mechanism
There is no install spec (instruction-only) and the included shell scripts are small wrappers around repo-local Python tools. No downloads, external package installs, or archive extraction are present.
Credentials
The skill declares no required env vars, secrets, or config paths and the instructions do not reference credentials. This is proportional to the stated purpose. Note that runtime code (tests/eval/build_index) could itself access environment variables — review those files if you need to ensure no secrets are used.
Persistence & Privilege
always is false and the skill does not request modifications to other skills or system-wide config. It runs only when invoked and does not request permanent presence or elevated platform privileges.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install memory-system-sidecar - After installation, invoke the skill by name or use
/memory-system-sidecar - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Initial publication of the MemoryLab memory sidecar operating skill.
Metadata
Frequently Asked Questions
What is Memory System Sidecar?
Operate, verify, rebuild, and debug the implemented MemoryLab long-term memory sidecar feeding active task and live context files. It is an AI Agent Skill for Claude Code / OpenClaw, with 145 downloads so far.
How do I install Memory System Sidecar?
Run "/install memory-system-sidecar" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Memory System Sidecar free?
Yes, Memory System Sidecar is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Memory System Sidecar support?
Memory System Sidecar is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Memory System Sidecar?
It is built and maintained by sjinopenclaw (@sjingh); the current version is v1.0.0.
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