Mcp Memory — independently scanned and version-tracked by SaferSkills.
SaferSkills independently audited Mcp Memory (Agent Skill) and scored it 100/100 (green). The audit ran 55 deterministic rules across Security, Supply Chain, Maintenance, Transparency, and Community; it found 0 high-severity and 0 lower-severity findings. The full rule-by-rule trace and per-finding evidence are below. Free, methodology-open.
Findings & checks · 0 flagged
Every scanned point with the score it earned and what moved between them.
First recorded scan — no prior version to compare against.
The primary manifest — the file an agent reads to learn what this artifact does.
Your AI agent forgets everything between sessions. This fixes that.
An MCP server that gives any AI agent persistent memory with semantic search. Store decisions, context, and knowledge once -- recall them with natural language queries across any future session.
Built on ChromaDB embeddings, scoped per project, runs entirely locally.
Every MCP-based agent (Claude Desktop, Claude Code, Cursor) starts each session with amnesia. Decisions made yesterday are gone. Context from last week is gone. You re-explain the same things every time.
mcp-memory adds four tools -- remember, recall, forget, list_memories -- that persist knowledge across sessions with vector similarity search. Your agent remembers what matters and finds it when relevant.
pip install -e .| Environment Variable | Default | Description |
|---|---|---|
MCP_MEMORY_DATA_DIR | ~/.mcp-memory/ | Where memories are stored on disk |
MCP_MEMORY_DEFAULT_PROJECT | global | Default project scope |
MCP_MEMORY_MAX_RESULTS | 10 | Default number of recall results |
Add to ~/.config/claude/claude_desktop_config.json:
{
"mcpServers": {
"memory": {
"command": "mcp-memory",
"env": {
"MCP_MEMORY_DATA_DIR": "~/.mcp-memory"
}
}
}
}Add to .claude/settings.json:
{
"mcpServers": {
"memory": {
"command": "mcp-memory"
}
}
}Store a memory for later recall.
| Arg | Type | Default | Description |
|---|---|---|---|
content | string | required | The text to remember |
project | string | "global" | Project scope |
tags | list[string] | [] | Tags for filtering |
source | string | "" | Where this memory came from |
importance | int | 3 | Priority 1-5 |
Search memories by semantic similarity.
| Arg | Type | Default | Description |
|---|---|---|---|
query | string | required | Natural language search |
project | string | all | Limit to project |
tags | list[string] | none | Filter by tags |
n_results | int | 10 | Max results |
min_relevance | float | none | Minimum relevance 0.0-1.0 |
Delete stored memories.
| Arg | Type | Default | Description |
|---|---|---|---|
memory_ids | list[string] | none | Specific IDs to delete |
project | string | none | Delete all in project |
tags | list[string] | none | Delete by tags |
Browse stored memories with pagination.
| Arg | Type | Default | Description |
|---|---|---|---|
project | string | all | Filter to project |
tags | list[string] | none | Filter by tags |
page | int | 1 | Page number |
page_size | int | 20 | Results per page |
pip install -e ".[dev]"
pytest # run tests
ruff check . # lint
ruff format . # format
mypy mcp_memory # type checkMIT
~30 seconds. Free. No account. Every finding cites a rule and a line of evidence.