AgentDB Memory Patterns

AgentDB Memory Patterns is a skill for Claude Code from amangit1314/repo-rag. It costs 45 tokens per session (2,175 once invoked), scanned A, original, no licence file.

A set of AgentDB patterns for giving AI agents persistent memory across sessions. It covers short-term session context, long-term storage, learned patterns, and context management.

In plain words
What is it for?
Use it to build stateful agents, chat systems, and assistants that store and reuse information over time.
Why use it?
It helps agents retain useful information instead of starting every conversation or task with no history.

Skill for Claude Code

Written for Claude Code: installed under .claude/.

Good fit Use it to build stateful agents, chat systems, and assistants that store and reuse information over time.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/amangit1314/repo-rag/agentdb-memory-patterns
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add amangit1314/repo-rag --skill agentdb-memory-patterns
Clone the repo
git clone --depth 1 https://github.com/amangit1314/repo-rag

Made for: Claude Code.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for AgentDB Memory Patterns

README.md
[![agentmods](https://agentmods.dev/badge/skills/amangit1314/repo-rag/agentdb-memory-patterns.svg)](https://agentmods.dev/skills/amangit1314/repo-rag/agentdb-memory-patterns)
Your own site
<a href="https://agentmods.dev/skills/amangit1314/repo-rag/agentdb-memory-patterns"><img src="https://agentmods.dev/badge/skills/amangit1314/repo-rag/agentdb-memory-patterns.svg" alt="Measured on agentmods" height="20"></a>
Per session 45 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,175 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin unknown No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00045 $0.02175
Opus 5 $0.00023 $0.01087
Sonnet 5 $0.00009 $0.00435
Haiku 4.5 $0.00005 $0.00217

Measured 4d ago against content hash 516a5357177c, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-07, from the pricing page.

Security

Grade A, and why

AgentDB Memory Patterns scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 4d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

.claude/skills/agentdb-memory-patterns/SKILL.md · 340 lines

The source is not reproduced here

No licence file

A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.

Read it on GitHub

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 4d ago First seen · 340 lines · 45 tokens per session scan A 516a5357177c

Subscribe to this mod's changes

AgentDB Memory Patterns is a skill published in the GitHub repository amangit1314/repo-rag (0 stars, last pushed 1mo ago), with no licence file. It adds 45 tokens to every session and 2,175 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.

Related

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