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.
git clone --depth 1 https://github.com/scitrera/memorylayerWrote 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.
[](https://agentmods.dev/commands/scitrera/memorylayer/setup)<a href="https://agentmods.dev/commands/scitrera/memorylayer/setup"><img src="https://agentmods.dev/badge/commands/scitrera/memorylayer/setup/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.
<a href="https://agentmods.dev/commands/scitrera/memorylayer/setup"><img src="https://agentmods.dev/badge/commands/scitrera/memorylayer/setup.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00000 | $0.00446 |
| Opus 5.5 | $0.00000 | $0.00178 |
| Sonnet 5.5 | $0.00000 | $0.00089 |
| Haiku 4.5 | $0.00000 | $0.00045 |
Grade A, and why
setup scanned grade A with 1 finding 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 23d 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
1. **Check server** — Runs `curl -sf http://localhost:61001/health`. If unreachable, offers to install and start: `pip install memorylayer-server && memorylayer serve &` What it actually says
/memorylayer:setup
Automated setup and verification for MemoryLayer.
Usage
/memorylayer:setup
Behavior
This command performs a fully automated setup sequence. Each step is executed, not just described:
- Check server — Runs
curl -sf http://localhost:61001/health. If unreachable, offers to install and start:pip install memorylayer-server && memorylayer serve & - Auto-configure permissions — Reads
.claude/settings.local.json, mergesmcp__plugin_memorylayer_memorylayer__*into the permissions allow list, writes back. This eliminates per-tool permission prompts. - Verify MCP tools — Calls
memory_briefingto confirm tools are connected and the server is responding. - Smoke test — Stores a test memory, recalls it, then forgets it to verify the full read/write cycle.
- Verify hooks — Reads
~/.memorylayer/hook-state.jsonto confirm SessionStart hook fired. - Status summary — Prints server URL, workspace, session, permission status, tool count, and active hooks.
Permission Configuration
The setup command automatically configures permissions by merging this into .claude/settings.local.json:
{
"permissions": {
"allow": [
"mcp__plugin_memorylayer_memorylayer__*"
]
}
}
This wildcard allows all memorylayer MCP tools without individual prompts.
For manual configuration alternatives:
Global settings (~/.claude.json):
{
"projects": {
"/path/to/your/project": {
"allowedTools": ["mcp__plugin_memorylayer_memorylayer__*"]
}
}
}
CLI flag (per-session):
claude --allowedTools "mcp__plugin_memorylayer_memorylayer__*"
When to Use
- First time using MemoryLayer in a project
- After installation or upgrade
- When memories aren't being stored/recalled properly
- To verify configuration is correct
- When encountering permission prompts for memory tools
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.
- 23d ago Changed 3fea5b6a2f0d
- 1mo ago First seen · 63 lines · 0 tokens per session scan A f10a10fd70db
setup is a command published in the GitHub repository scitrera/memorylayer (2 stars, last pushed 24d ago), licensed Apache-2.0. It costs nothing until one of its globs matches a file; then it loads 446 tokens. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
Other commands, from other repositories
minutes-ideas
Surface recent voice memos and ideas captured from any device. Use when the user asks "what ideas did I have?", "what were my recent memos?", "what did I record while walking?", or wants to recall a captured thought.
learn
Force claude-smart to extract learnings from this session now.
memory-store
Store an insight, decision, or pattern to memory.
analyze-context
USE WHEN you want to analyze project context before starting work on a task. Calls context + recall, then synthesizes goals, decisions, gotchas, and relevant memories into a pre-task brief.
cc-memory
Configure persistent memory that survives across sessions using a layered approach: split rule files for always-loaded context, auto-memory for organic learning, and optional MCP-backed long-term memory for large codebases.
lians-recall
Recall current (non-stale) facts from Lians memory, optionally as-of a past date.