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Memory Review

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hoangsonww
memory-review

Review the file-based memory store via the Agent Monitor Config Explorer API: the user and project CLAUDE.md plus per-project auto-memory files under ~/.claude/projects/<slug>/memory/*.md. Groups by project, shows the index (MEMORY.md) vs per-fact files, and flags stale or oversized facts. Reads /api/cc-config/memory and /api/cc-config/file?path=. Use when curating agent memory.

Overview

Publisherhoangsonww
RepositoryClaude-Code-Agent-Monitor
Skill namememory-review
Stars
1.1K
Forks
260
Bundled files
1
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 1 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by hoangsonww on GitHub. Read the source before you install it.

Installation

Install the Memory Review AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/hoangsonww/Claude-Code-Agent-Monitor/tree/master/plugins/ccam-config/skills/memory-review
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/hoangsonww/Claude-Code-Agent-Monitor.git /tmp/Claude-Code-Agent-Monitor
mkdir -p .claude/skills
cp -r /tmp/Claude-Code-Agent-Monitor/plugins/ccam-config/skills/memory-review .claude/skills/memory-review
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Memory Review in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Memory Review on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Memory Review is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Memory Review

Curate the user's file-based agent memory: the long-form CLAUDE.md files plus the per-project auto-memory store — read through the Agent Monitor dashboard at http://localhost:4820.

Input

The user provides: $ARGUMENTS

This may be:

  • empty — review the whole memory store across every project (default).
  • a project slug (e.g. -Users-david-WebstormProjects-foo) — restrict the review to that one project's auto-memory dir.
  • "claude-md" — review only the user/project CLAUDE.md files.

Data Sources

EndpointReturns
GET /api/cc-config/memory{ items:[…] }. CLAUDE.md entries: { scope:"user"|"project", file, size, mtime, preview }. Auto-memory entries: { scope:"auto-memory", project, name, isIndex, file, size, mtime, frontmatter, preview }
GET /api/cc-config/file?path=<abs>full body of one file: { ok, file, size, mtime, truncated, text } — use to read a fact in full before recommending an edit

Report Sections

1. CLAUDE.md overview

List the user and project CLAUDE.md entries with scope, size (KB), and last-modified (mtime). Note any that are truncated (over 256 KB) — these are oversized and worth splitting into auto-memory facts.

2. Per-project auto-memory, grouped

Group scope: "auto-memory" items by project. For each project show the index (isIndex: true, typically MEMORY.md) first, then the per-fact files. For each fact show name, frontmatter.description if present, size, and mtime.

3. Index vs per-fact consistency

Within each project, compare the index (MEMORY.md) against the per-fact files present. Flag facts that exist on disk but are not referenced by the index, and index entries that point at files which no longer appear in /memory.

4. Stale & oversized facts

Flag facts whose mtime is old relative to the rest of the store (stale — candidates to confirm or retire) and facts whose size is large (oversized — candidates to split into smaller, single-fact files). When the user wants to act on one, fetch its full body with GET /api/cc-config/file?path=<file> before recommending changes.

Editing memory (mutations)

Auto-memory files are editable through the Config Explorer. To create/overwrite a fact:

bash
curl -s -X PUT http://localhost:4820/api/cc-config/file \
  -H 'Content-Type: application/json' \
  -d '{"scope":"auto-memory","type":"auto-memory","project":"<slug>","name":"<fact>.md","content":"..."}'

To delete a fact:

bash
curl -s -X DELETE http://localhost:4820/api/cc-config/file \
  -H 'Content-Type: application/json' \
  -d '{"scope":"auto-memory","type":"auto-memory","project":"<slug>","name":"<fact>.md"}'

A timestamped backup is written automatically before any edit or delete. The user/project CLAUDE.md uses type:"memory" with a scope and no name. Never edit or delete a memory file without explicit per-action confirmation from the user — default to read-only review.

Output

  • Section 1 as a short table (Scope | File | Size | Modified | Truncated).
  • Section 2 grouped by project, index first, then facts.
  • Sizes in KB; timestamps as relative age; use ▲ for oversized / stale flags.
  • Cite only fields the API returned — never invent facts, names, or sizes.
  • If the dashboard is unreachable at http://localhost:4820, say so and tell the user to start it with npm start from the repo root.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Memory Review AI skill do?

Review the file-based memory store via the Agent Monitor Config Explorer API: the user and project CLAUDE.md plus per-project auto-memory files under ~/.claude/projects/<slug>/memory/*.md. Groups by project, shows the index (MEMORY.md) vs per-fact files, and flags stale or oversized facts. Reads /api/cc-config/memory and /api/cc-config/file?path=. Use when curating agent memory.

Why use Memory Review on TypingMind?

Because you install it once and use it with any model. Memory Review is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Memory Review in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/hoangsonww/Claude-Code-Agent-Monitor/tree/master/plugins/ccam-config/skills/memory-review. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Memory Review?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Memory Review?

As many as you like. As long as a model supports skills, you can use Memory Review with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Memory Review AI skill free?

Yes. It is published on GitHub by hoangsonww under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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