What is memser CLAUDE.md?

Repository instructions for Claude Code, an AI coding assistant, explaining an MCP server called memser. The server gives compatible agents persistent memory operations such as storing, recalling, and consolidating memories.

Use it when developing memser: start its services, run the server, inspect it with the MCP inspector, and run its tests.

It puts setup, run, and test commands in one place so the agent can work with the repository consistently.

How masikgit/memser configures Claude Code

Reuse

Borrowing it

Nothing to install: this file belongs to masikgit/memser. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file

curl -O https://raw.githubusercontent.com/masikgit/memser/main/CLAUDE.md

Clone the repo

git clone --depth 1 https://github.com/masikgit/memser

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.

README.md

[![agentmods](https://agentmods.dev/badge/instructions/masikgit/memser/claude-md/github.svg)](https://agentmods.dev/instructions/masikgit/memser/claude-md)

Your own site

<a href="https://agentmods.dev/instructions/masikgit/memser/claude-md"><img src="https://agentmods.dev/badge/instructions/masikgit/memser/claude-md/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.

Your own site · 80×15

<a href="https://agentmods.dev/instructions/masikgit/memser/claude-md"><img src="https://agentmods.dev/badge/instructions/masikgit/memser/claude-md.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 1,480 This file is loaded in full into every session.

When invoked 1,480 The same file — it is already loaded in full.

Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.

Origin original 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.

Model	Per session	Once invoked
Fable 5.1	$0.01480	$0.01480
Opus 5.5	$0.00592	$0.00592
Sonnet 5.5	$0.00296	$0.00296
Haiku 4.5	$0.00148	$0.00148

Measured 2mo ago against content hash 2f1f55707eaf, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

memser CLAUDE.md 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 2mo 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.md · 124 lines

How it starts

The opening of the file, as written. The whole thing — 124 lines — stays where its author put it; the contents beside it link to each section on GitHub.

CLAUDE.md

This file provides guidance to Claude Code (claude.ai/code) when working with code in this repository.

What this is

An MCP server ("memser") that exposes tiered, persistent memory operations (store_memory, recall_memory, forget_memory, consolidate_memories, list_memories) as MCP tools, so any MCP-compatible agent can plug in for long-term memory. See README.md for the full tool reference and data model.

Commands

# Setup
cp .env.example .env
docker compose up -d              # Postgres+pgvector and Redis
pip install -e ".[dev]"
python -m scripts.init_db         # only if not relying on docker-compose's auto-init

# Run
python -m app.server              # MCP server over stdio
mcp dev app/server.py             # run with the MCP inspector for local iteration

# Test
pytest                            # full suite
pytest tests/test_scoring.py -q   # single file
pytest tests/test_consolidation.py::test_cluster_by_similarity_groups_close_vectors  # single test

Tests are pure-logic unit tests (scoring math, hash-embedder determinism, clustering, summarization fallback) — none require Postgres/Redis to be running. There is no integration suite against a live database yet.

There is no lint/format tooling configured in this repo yet — don't assume ruff/black/mypy are wired up unless you add them.

Architecture

Four layers, each in its own module, called top-down:

app/server.py         MCP tools (thin) — opens a session, calls the engine, returns .model_dump(mode="json")
app/memory_engine.py  store/recall/forget/list logic: dedup, conflict resolution, hybrid ranking
app/consolidation.py  episodic -> semantic clustering + summarization
app/jobs.py           APScheduler jobs that call consolidation/decay on a timer
app/scoring.py         pure scoring math, no I/O
app/embeddings.py     embedding provider abstraction (OpenAI or local fallback)
app/redis_client.py   working-tier (Redis) reads/writes
app/models.py, db.py  Postgres schema (SQLAlchemy) + async engine/session
app/audit.py          writes to memory_audit_log
app/config.py         pydantic-settings, reads .env

Read the full file on GitHub · 124 lines

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.

2mo ago First seen · 124 lines · 1,480 tokens per session scan A 2f1f55707eaf

Subscribe to this mod's changes

memser CLAUDE.md is an instructions file published in the GitHub repository masikgit/memser (0 stars, last pushed 2mo ago), licensed Apache-2.0. It adds 1,480 tokens to every session, about $0.0059 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.

Memory and context

memser CLAUDE.md next to 6 instructions from other repositories
Mod	Type	Stars	Last push	Licence	Scan	Tokens	Works with
memser CLAUDE.mdmasikgit/memser	Instructions file	0	2mo ago	Apache-2.0	A	1,480	Claude Code
vscode buildNext.instructions.mdmicrosoft/vscode	Instructions file	195k	yesterday	MIT	A	9,719	GitHub Copilot
next.js AGENTS.mdvercel/next.js	Instructions file	143k	yesterday	MIT	A	7,461	Codex, OpenCode
langchain AGENTS.mdlangchain-ai/langchain	Instructions file	149k	yesterday	MIT	A	4,680	Codex, OpenCode
vscode oss-third-party-notices.instructions.mdmicrosoft/vscode	Instructions file	195k	yesterday	MIT	A	5,516	GitHub Copilot
vscode copilot-instructions.mdmicrosoft/vscode	Instructions file	195k	yesterday	MIT	A	3,093	GitHub Copilot
deepseek-harness AGENTS.mddeepseek-ai/deepseek-harness	Instructions file	274k	2d ago	MIT	A	4,313	Codex, OpenCode

memser: Instructions file for Claude Code