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Clude Memory Mcp

MCP server for Clude's 4-tier cognitive memory system — store, recall, search, and dream.

Overview

MCP server for Clude's 4-tier cognitive memory system — store, recall, search, and dream.

MCP server exposing a 4-tier cognitive memory architecture inspired by Stanford's Generative Agents (Park et al. 2023).

Search the memory system. Returns scored memories ranked by relevance, importance, recency, and vector similarity.

query — text to search against memory summaries
tags — filter by tags
related_user — filter by user/agent ID
memory_types — filter by type: episodic, semantic, procedural, self_model
limit — max results (1-20, default 5)
min_importance — minimum importance threshold (0-1)

Store a new memory. Memories persist across conversations, decay over time if not accessed, and get committed to Solana.

type — episodic (events), semantic (knowledge), procedural (behaviors), self_model (identity)
content — full memory content
summary — short summary for recall matching
tags — tags for filtering
importance — importance score 0-1
source — origin identifier (e.g. mcp:my-agent)

Get statistics: counts by type, average importance/decay, dream session history, top tags.

Get current market mood and price state (no LLM call).

Ask Clude a question and get an in-character response. Calls Claude API.

bash

npm install clude-bot

Requires a Supabase project with the schema from supabase-schema.sql. Set SUPABASE_URL and SUPABASE_SERVICE_KEY environment variables.

4-tier memory: episodic (7%/day decay), semantic (2%/day), procedural (3%/day), self_model (1%/day)
Hybrid retrieval: pgvector cosine similarity + keyword matching + tag scoring
Dream cycles: consolidation, reflection, emergence — every 6 hours
On-chain commitment: SHA-256 hashed memories committed to Solana via memo transactions
Granular decomposition: per-fragment embeddings for precise sub-memory retrieval