EMMS - Enhanced Memory Management System

Created By

Shehzad Ahmed4 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.

# memory

# knowledge-graph

Overview Content Tools Comments

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...

Links

Try in Playground

Server Config

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

Project Info

Created At

4 months ago

Updated At

4 months ago

Author Name

Shehzad Ahmed

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