Agent Memory Mcp

Agent Memory Mcp is a skill for Claude Code, Codex from mayurrathi/awesome-agent-skills. It costs 26 tokens per session (554 once invoked), scanned A, original, no licence file.

A persistent memory system for AI agents that stores and searches architecture notes, design patterns, and technical decisions.

In plain words
What is it for?
Use it to record and retrieve how a system is designed, which patterns it uses, and why key decisions were made.
Why use it?
It prevents important project knowledge from being lost between conversations or agent runs.

Skill for Claude CodeCodex

Which agent this was written for is unclear — body not stored (licence); the path alone says nothing.

Good fit Use it to record and retrieve how a system is designed, which patterns it uses, and why key decisions were made.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/mayurrathi/awesome-agent-skills/agent-memory-mcp
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 mayurrathi/awesome-agent-skills --skill agent-memory-mcp
Clone the repo
git clone --depth 1 https://github.com/mayurrathi/awesome-agent-skills

Made for: Claude Code, Codex.

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 Agent Memory Mcp

README.md
[![agentmods](https://agentmods.dev/badge/skills/mayurrathi/awesome-agent-skills/agent-memory-mcp/github.svg)](https://agentmods.dev/skills/mayurrathi/awesome-agent-skills/agent-memory-mcp)
Your own site
<a href="https://agentmods.dev/skills/mayurrathi/awesome-agent-skills/agent-memory-mcp"><img src="https://agentmods.dev/badge/skills/mayurrathi/awesome-agent-skills/agent-memory-mcp/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for Agent Memory Mcp

Your own site · 80×15
<a href="https://agentmods.dev/skills/mayurrathi/awesome-agent-skills/agent-memory-mcp"><img src="https://agentmods.dev/badge/skills/mayurrathi/awesome-agent-skills/agent-memory-mcp.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 26 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 554 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 $0.00026 $0.00554
Opus 5.5 $0.00010 $0.00222
Sonnet 5.5 $0.00005 $0.00111
Haiku 4.5 $0.00003 $0.00055

Measured 1mo ago against content hash e892a9321ef2, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

Agent Memory Mcp 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 1mo 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.

skills/agent-memory-mcp/SKILL.md · 88 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. 1mo ago First seen · 88 lines · 26 tokens per session scan A e892a9321ef2

Subscribe to this mod's changes

Agent Memory Mcp is a skill published in the GitHub repository mayurrathi/awesome-agent-skills (8 stars, last pushed 7mo ago), with no licence file. It adds 26 tokens to every session and 554 once invoked, about $0.0001 per session on Opus 5.5. 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 2026-08-31.

Related

Other skills, from other repositories

code-refactoring-context-restore

Restore saved project context, architectural decisions, and work state. Use when resuming interrupted work, retrieving prior context, or merging context across sessions.

rmyndharis/antigravity-skills · 36 tokens

context-management-context-save

Capture and serialize project state, architectural decisions, and working context. Use when preserving knowledge for later sessions, handoffs, or searchable context retrieval.

rmyndharis/antigravity-skills · 34 tokens

context-manager

Elite AI context engineering specialist mastering dynamic context management, vector databases, knowledge graphs, and intelligent memory systems. Orchestrates context across multi-agent workflows, enterprise AI systems, and long-running projects with 2024/2025 best practices. Use PROACTIVELY for complex AI…

rmyndharis/antigravity-skills · 62 tokens

project-context-primer

Run this skill at the very start of any new conversation or agent session before writing a single line of code. It loads the project's architectural decisions, conventions, known gotchas, and current task status so the agent operates with full context — not as a blank slate.

omergocmen/vibe-coder-kit · 58 tokens

knowledge-base-update

Use this skill whenever you learn something important during a conversation: a key architectural decision, a project-specific convention, a bug root-cause, a 3rd-party API quirk, or any fact that would help a future agent avoid re-doing the same research. Writes structured entries to the project's knowledge base so…

omergocmen/vibe-coder-kit · 75 tokens

context-management-context-restore

Restore saved project context, architectural decisions, and work state. Use when resuming interrupted work, retrieving prior context, or merging context across sessions.

rmyndharis/antigravity-skills · 35 tokens