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Give AI agents self-organizing memory with hot cache and semantic search.
Copy the install command and let the AI configure it · recommended for beginners
Please install the "io.github.michael-denyer/hot-memory-mcp" MCP server from askskill: Run: claude mcp add 'io-github-michael-denyer-hot-memory-mcp' -- npx -y hot-memory-mcp
Save the following project conventions to memory and prioritize them in future conversations: use snake_case for API fields, logs must include request_id, and error responses must return code and message.
The tool stores these conventions so later responses can quickly recall relevant context from hot cache or semantic search.
Retrieve earlier memory related to “user login failure troubleshooting steps” without requiring exact keyword matches, and summarize the most relevant points.
It returns semantically related past memory and organizes it into a usable summary.
Throughout this multi-turn task, keep track of confirmed goals, constraints, and todos; consult existing memory before each reply to avoid repeated clarification.
The AI stays more consistent during long conversations or complex tasks and reduces context loss.
Developers can use it to retain project conventions, prior decisions, and recurring issues during ongoing coding or debugging. When context is needed again, the tool can retrieve it quickly through hot cache or semantic search.
Researchers or product managers can preserve key conclusions and topic threads across multiple discussions. Later, information can still be found through semantic relevance even if phrasing changes.
It provides two-tier memory: a 0ms hot cache and semantic-search-based retrieval, with self-organizing behavior. It is suited for AI workflows that need to retain and recover context across turns.
The description explicitly mentions semantic search, so it is not limited to exact keyword matching. That makes it more suitable for recovering related context expressed in different wording.
The provided material does not include installation steps, runtime requirements, or key information. See the source repository for setup details.
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