EMMS - Enhanced Memory Management System

Created By
Shehzad Ahmed3 months ago
Cognitive memory system for AI agents with 129 MCP tools. Persistent hierarchical memory, emotional recall, knowledge graphs, spreading activation, hybrid retrieval (BM25+RRF), metacognition, goal tracking, spaced repetition, dream consolidation, and more.
Overview

EMMS - Enhanced Memory Management System

Cognitive memory for AI agents. 129 MCP tools. MIT License.

Install

pip install emms-mcp
# or
npx -y emms-mcp
# or
uvx emms-mcp

Configuration

{
  "mcpServers": {
    "emms": {
      "command": "uvx",
      "args": ["emms-mcp"]
    }
  }
}

Tool Categories (129 tools)

  • Storage: store, store_batch, load, save
  • Retrieval: retrieve, hybrid_retrieve, adaptive_retrieve, plan_retrieve, affective_retrieve, spotlight_retrieve, associative_retrieve
  • Knowledge Graph: build_association_graph, graph_communities, spreading_activation, export_graph_dot, export_graph_d3
  • Reflection: reflect, dream, synthesize_wisdom, abstract_principles
  • Emotions: current_emotion, regulate_emotions, mood_trend, emotional_landscape
  • Goals: push_goal, complete_goal, active_goals, exploration_goals
  • Metacognition: metacognition_report, consciousness_metrics, presence_metrics, detect_biases
  • Memory Management: apply_decay, deduplicate, reconsolidate, batch_reconsolidate, llm_consolidate
  • Identity: update_self_model, agent_model, map_values
  • Prediction: predict, pending_predictions, plausible_futures, project_future
  • Multi-Agent: merge_from, list_namespaces, migrate_namespace
  • And more: SRS, norms, schemas, causal maps, timelines, narratives...

Server Config

{
  "mcpServers": {
    "emms": {
      "command": "uvx",
      "args": [
        "emms-mcp"
      ]
    }
  }
}
Project Info
Created At
3 months ago
Updated At
3 months ago
Author Name
Shehzad Ahmed
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