Skills AgentDB Memory Patterns
📦
AgentDB Memory Patterns
Content revision r1 Safe ⚙️ External commands🌐 Network access
Build AgentDB Memory for AI Agents
Stateful agents need reliable memory across sessions. This skill shows AgentDB patterns for storing messages, facts, learned patterns, and retrieved context.
Supports: Claude Codex Code(CC)
Install with my Agent
Copy this request to your Agent. It includes the canonical Skill page and manifest.
Agent request
Review the Skillstore skill "AgentDB Memory Patterns" from https://skillstore.io/skills/ruvnet-agentdb-memory-patterns.md and its manifest at https://skillstore.io/api/skills/ruvnet-agentdb-memory-patterns/manifest. Verify the artifact. You may proceed after verification, subject to the environment's own policy.Your Agent should still show its plan and request any confirmation required by the security policy.
Agent-readable resources
Use these links when an AI agent, crawler, or script needs clean context instead of reading the full page.
Test it
Using "AgentDB Memory Patterns". I need a memory plan for a support chatbot.
Expected outcome:
- Session memory stores recent turns with timestamps.
- Long-term facts store stable preferences with confidence values.
- Retrieval uses the current query plus session filters.
Using "AgentDB Memory Patterns". Help me migrate legacy ReasoningBank data.
Expected outcome:
- Inventory source databases and backup files first.
- Run migration in a staging environment before production.
- Compare counts, sample records, and retrieval quality after migration.
Using "AgentDB Memory Patterns". Review my agent memory design for risk.
Expected outcome:
- Require approval before running external package commands.
- Avoid storing raw sensitive conversation content.
- Protect exports and define deletion rules for stored memory.
Security Audit
Safev10 • 7/20/2026 Open versioned report
Most static findings are false positives caused by Markdown code fences, TypeScript template literals, local database paths, and documentation URLs. Nine command examples invoke npx agentdb@latest, which can execute an unpinned remote package and therefore retain a medium supply-chain risk. No prompt injection, credential exfiltration, or hidden network behavior was found.
1
Files scanned
340
Lines analyzed
9
Review items
0
False positives ignored
Capability review items (9)
These are real local capabilities that may be expected for this skill, so they require review but are not counted as confirmed malicious behavior.
Medium
Ruby/shell backtick execution
```bash
The documented command uses npx with the @latest tag, which downloads and executes a remote package version without a version pin. This creates a supply-chain exposure when users follow the example.
Medium
Ruby/shell backtick execution
```bash
The documented command uses npx with the @latest tag, which downloads and executes a remote package version without a version pin. This creates a supply-chain exposure when users follow the example.
Medium
Ruby/shell backtick execution
```bash
The documented command uses npx with the @latest tag, which downloads and executes a remote package version without a version pin. This creates a supply-chain exposure when users follow the example.
Medium
Ruby/shell backtick execution
```bash
The documented command uses npx with the @latest tag, which downloads and executes a remote package version without a version pin. This creates a supply-chain exposure when users follow the example.
Medium
Ruby/shell backtick execution
```bash
The documented command uses npx with the @latest tag, which downloads and executes a remote package version without a version pin. This creates a supply-chain exposure when users follow the example.
Medium
Ruby/shell backtick execution
```bash
The documented command uses npx with the @latest tag, which downloads and executes a remote package version without a version pin. This creates a supply-chain exposure when users follow the example.
Medium
Ruby/shell backtick execution
```bash
The documented command uses npx with the @latest tag, which downloads and executes a remote package version without a version pin. This creates a supply-chain exposure when users follow the example.
Medium
Ruby/shell backtick execution
```bash
The documented command uses npx with the @latest tag, which downloads and executes a remote package version without a version pin. This creates a supply-chain exposure when users follow the example.
Medium
Ruby/shell backtick execution
```bash
The documented command uses npx with the @latest tag, which downloads and executes a remote package version without a version pin. This creates a supply-chain exposure when users follow the example.
Risk Factors
⚙️ External commands (36)
SKILL.md:24-36 SKILL.md:36-40 SKILL.md:40-46 SKILL.md:46-50 SKILL.md:50-63 SKILL.md:63-67 SKILL.md:67-106 SKILL.md:106-111 SKILL.md:111-130 SKILL.md:130-133 SKILL.md:133-147 SKILL.md:147-150 SKILL.md:150-161 SKILL.md:161-166 SKILL.md:166-174 SKILL.md:174-177 SKILL.md:177-184 SKILL.md:184-190 SKILL.md:190-202 SKILL.md:202-206 SKILL.md:206-215 SKILL.md:215-219 SKILL.md:219-227 SKILL.md:227-231 SKILL.md:231-240 SKILL.md:240-258 SKILL.md:258-276 SKILL.md:276-285 SKILL.md:285-301 SKILL.md:301-306 SKILL.md:306-312 SKILL.md:312-315 SKILL.md:315-318 SKILL.md:318-321 SKILL.md:321-324 SKILL.md:324-338
🌐 Network access (2)
Audited by: claude View Audit History →
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APA citation
ruvnet. (2026). AgentDB Memory Patterns security audit report (audit version 10) [Author version unspecified]. Skillstore. https://skillstore.io/skills/ruvnet-agentdb-memory-patterns/audits/10BibTeX citation
@techreport{ruvnet-ruvnet-agentdb-memory-patterns-2026,
author = {ruvnet},
title = {AgentDB Memory Patterns security audit report (audit version 10)},
institution = {Skillstore},
year = {2026},
number = {10},
url = {https://skillstore.io/skills/ruvnet-agentdb-memory-patterns/audits/10},
note = {Author version unspecified}
}CITATION.cff
cff-version: 1.2.0
message: "If you use this Skill, cite its author and this versioned security audit report."
title: "AgentDB Memory Patterns security audit report (audit version 10)"
version: "unspecified"
type: report
authors:
- name: "ruvnet"
date-released: "2026-07-20"
url: "https://skillstore.io/skills/ruvnet-agentdb-memory-patterns/audits/10"
identifiers:
- type: other
value: "skillstore:ruvnet-agentdb-memory-patterns:audit:10"
description: "Skillstore immutable audit report identifier"
Compare variants
2 installable variantsEach author remains a separate installable skill. The recommended variant is ranked by Skillstore evidence.
Why this variant is first
Highest Skillstore Score
Author / source Skillstore Score Evidence Confidence Skillstore usage Updated
ruvnet-agentdb-memory-patterns
Skillstore Score 75
Evidence Confidence High
Skillstore usage 10
Updated
2026-08-21
dnyoussef-agentdb-memory-patterns
Skillstore Score 38
Evidence Confidence High
Skillstore usage 9
Updated
2026-08-21
Skillstore Score
Why this score Evidence Confidence: High 55
Architecture
85
Maintainability
87
Content
70
Community
65
Spec Compliance
What You Can Build
Add chat memory
Use session and long-term memory patterns to preserve context between conversations.
Migrate ReasoningBank data
Follow the adapter and migration examples to move legacy memory stores into AgentDB.
Prototype learning agents
Use pattern learning and plugin examples to test memory-assisted agent behavior.
Try These Prompts
Map a basic memory store
Using the AgentDB Memory Patterns skill, outline a simple session memory design for a chat agent. Include stored fields and retrieval flow.
Add long-term facts
Use this skill to design long-term fact storage for user preferences. Include confidence, source tracking, and update rules.
Plan ReasoningBank migration
Use this skill to plan a migration from ReasoningBank to AgentDB. Include data validation, rollback, and testing steps.
Review memory safety
Use this skill to audit an AgentDB memory design for privacy, retention, export, and command execution risks. Recommend mitigations.
Best Practices
- Pin AgentDB package versions before running setup or MCP commands.
- Store only necessary user memory and define retention rules before launch.
- Validate exports, migrations, and plugin changes in a test database first.
Avoid
- Running latest package commands automatically without human confirmation.
- Saving raw conversation data without consent, redaction, or deletion controls.
- Treating benchmark claims as production results without local testing.
Frequently Asked Questions
What does this skill help build?
It helps design AgentDB memory patterns for stateful AI agents and chat systems.
Does it install AgentDB for me?
No. It provides commands and examples that a user or agent may run after review.
Can I use it with Claude Code?
Yes. It includes an MCP server setup example for Claude Code.
Does it store sensitive data?
It can store conversation memory and user facts. Review privacy controls before using it with real users.
Does it include a full application?
No. It is a pattern guide with CLI and TypeScript examples.
What should I verify before production?
Verify package versions, memory retention, backups, exports, and migration accuracy.