Power your agent
Perintah milik penerbit sendiri. Bukan endpoint PlugMCP.
Host a copy with our keys and logs.
uvx hot-memory-mcp==0.9.0Claude Code tidak punya tautan instal untuk perintah lokal. Salin perintah di bawah dan jalankan di terminal.
MEMORY_MCP_DB_PATH=<value> MEMORY_MCP_EMBEDDING_MODEL=<value> claude mcp add io.github.michael-denyer-hot-memory-mcp -- uvx hot-memory-mcp==0.9.0Jalankan di terminal.
{ "mcpServers": { "io.github.michael-denyer-hot-memory-mcp": { "command": "uvx", "args": [ "hot-memory-mcp==0.9.0" ], "env": { "MEMORY_MCP_DB_PATH": "<value>", "MEMORY_MCP_EMBEDDING_MODEL": "<value>" } } }}claude_desktop_config.json
URL remote atau perintah di mesin Anda? Perbedaan kedua cara instal
Jalankan di PlugMCP
A new server you create. It is not this listing's official endpoint. Use the publisher install when you want their URL and their credentials.
BukaStop re-explaining your project every session.
Memory MCP learns what matters and keeps it ready — instant recall for the stuff you use most, semantic search for everything else.
Every new chat starts from scratch. You explain your architecture again. You paste the same patterns again. Your context window bloats with repetition.
Other memory solutions help, but they still require tool calls for every lookup — adding latency and eating into Claude's thinking budget.
Memory MCP fixes this with a two-tier architecture:
SessionStart and UserPromptSubmit hooks before Claude even starts thinking. Claude Code adds a hook's stdout to the conversation, so no tool call is needed.The system learns what you use and promotes it automatically. Your most valuable knowledge becomes instantly available. No manual curation required.
# Install package
uv tool install hot-memory-mcp # or: pip install hot-memory-mcp
# Add plugin (recommended)
claude plugins add michael-denyer/memory-mcp
The plugin gives you auto-configured hooks and slash commands. Embeddings run on sentence-transformers on every platform, including Apple Silicon.
Add to ~/.claude.json:
{
"mcpServers": {
"memory": {
"command": "memory-mcp"
}
}
}
See Reference for full configuration options.
Restart Claude Code. Run memory-mcp-cli bootstrap once to seed memories from your project docs; the hooks inject whatever is promoted, but nothing seeds itself.
First run: Embedding model (~90MB) downloads automatically. Takes 30-60 seconds once.
flowchart LR
subgraph LLM["Claude"]
REQ((Request))
end
subgraph Hot["HOT CACHE · 0ms"]
HC[Session context]
PM[(Promoted memories)]
end
subgraph Cold["COLD STORAGE · ~50ms"]
VS[(Vector search)]
KG[(Knowledge graph)]
end
REQ -->|"hook stdout"| HC
HC -.->|"draws from"| PM
REQ -->|"recall()"| VS
VS <-->|"related"| KG
The hot cache (~10 items) reaches Claude through two plugin hooks. SessionStart runs memory-mcp-cli hot-cache --force and UserPromptSubmit runs memory-mcp-cli hot-cache, and Claude Code adds each command's stdout to the conversation. The command prints only when the text differs from what the session last saw, which is cheap while the set is stable and reprints in full when it shifts. The set combines recent recalls, predicted next memories, and top promoted items. Promoted memories (~20 items) is the backing store of frequently-used memories. Memories used 3+ times auto-promote; unused ones demote after 14 days.
Most memory systems make you pay a tool-call tax on every lookup. Memory MCP's hot cache bypasses this entirely — a hook prints your most-used knowledge into the conversation before Claude starts thinking.
The Engram Insight: Human memory doesn't search — frequently-used patterns are already there. That's what hot cache does for Claude.
See Reference for all 10 slash commands and full tool API.
memory-mcp-cli dashboard # Opens at http://localhost:8765
Browse memories, hot cache, injection history, sessions, and the knowledge graph.
Memory MCP is designed to run as three complementary components:
The plugin is recommended for most users — it auto-configures the MCP server and adds productivity features. Run the dashboard alongside when you want visibility into what's being stored.
MIT
Two-tier memory: hot cache (0ms) + semantic search. Self-organizing.
{ "mcpServers": { "io.github.michael-denyer-hot-memory-mcp": { "command": "uvx", "args": [ "hot-memory-mcp==0.9.0" ], "env": { "MEMORY_MCP_DB_PATH": "<value>", "MEMORY_MCP_EMBEDDING_MODEL": "<value>" } } }}Tool
Belum ada daftar tool. Server remote mendapatkannya setelah pemeriksaan kesehatan pertama.
FAQ
Salin konfigurasi stdio untuk Cursor, Claude Desktop, Claude Code, atau VS Code di halaman ini. Konfigurasi ini memakai instalasi dari penerbit, bukan proxy PlugMCP.
Penerbit mencantumkan variabel lingkungan berikut: MEMORY_MCP_DB_PATH, MEMORY_MCP_EMBEDDING_MODEL.
Hot Memory berjalan secara lokal melalui stdio.
Terakhir diperiksa 2026-11-15. Two-tier memory: hot cache (0ms) + semantic search. Self-organizing.