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Persistent Agent Memory

Name: Persistent Agent Memory
Author: divyvasal

by Divy · GitHub ↗ · v1.0.4 · MIT-0

cross-platform ✓ Security Clean

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Install in OpenClaw

/install persistent-agent-memory

Description

Add persistent memory to any agent so it can remember prior work, maintain context across sessions, and continue long-running workflows.

Usage Guidance

This skill appears to do what it claims: it stores, retrieves, and deletes semantic memories via Coral Bricks. Before installing, consider: (1) Do you trust coralbricks.ai with anything you might store? Avoid sending secrets, credentials, or sensitive personal data to the memory store. (2) Protect the CORAL_API_KEY like any API secret and rotate it if leaked. (3) Note the delete command is limited (LIMIT=1) — if you need bulk deletion verify behavior with the provider. (4) Review the Coral privacy policy and, if necessary, test with non-sensitive data first. If you want stricter control over where data is stored, consider a memory provider you host yourself.

Capability Analysis

Type: OpenClaw Skill Name: persistent-agent-memory Version: 1.0.4 The skill provides a legitimate interface for the Coral Bricks Memory API to store and retrieve agent memories. The implementation uses a Python helper script (json_encode.py) to safely sanitize inputs and format API responses, preventing common injection vulnerabilities, and all network activity is directed to the documented service endpoint (search-api.coralbricks.ai).

Capability Assessment

✓ Purpose & Capability

Name/description (persistent memory) align with required binaries (curl, python3), the single required env var (CORAL_API_KEY), and the provided scripts which call the Coral Bricks Memory API. All required resources are appropriate for the described functionality.

ℹ Instruction Scope

SKILL.md and included scripts only perform store, search, and delete operations against https://search-api.coralbricks.ai and do not attempt to read local files or other environment variables. However, any text passed to the tools is transmitted to the third‑party API — the README notes a privacy policy but does not explicitly warn users not to store secrets. The delete script uses a hardcoded LIMIT=1 (deletes one match per call), which is not documented in SKILL.md and may be unexpected.

✓ Install Mechanism

No install spec; the skill is instruction-plus-scripts only. That minimizes install-time risk because nothing is downloaded or written during installation. The scripts are simple shell + Python and contain no obfuscated or remote-download behavior.

✓ Credentials

Only CORAL_API_KEY is required and is the logical credential for a hosted memory service. There are no unrelated credentials, config paths, or broad scopes requested. Note: possession of CORAL_API_KEY grants the skill (and the Coral service) access to stored memories, so treat the key like any other sensitive secret.

✓ Persistence & Privilege

The skill does not request always:true and does not attempt to modify other skills or system-wide settings. It only needs network access to the Coral API at runtime and will be invoked normally by the agent when used.

How to Use

Make sure OpenClaw is installed (local or Docker)
Run the install command in chat: /install persistent-agent-memory
After installation, invoke the skill by name or use /persistent-agent-memory
Provide required inputs per the skill's parameter spec and get structured output

Version History

v1.0.4