memtap

v5.0.0

Published

3 days ago

MemTap — Graph-based long-term memory for AI agents. Knowledge graph with semantic recall, GraphRAG, entity management, decision tracking, auto-capture, document ingestion, onboarding, and multi-turn context.

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psifactory

openclaw openclaw-plugin plugin memory knowledge-graph graphrag ai-agents long-term-memory agent-memory

MemTap — Graph-Based Agent Memory for OpenClaw

MemTap gives your OpenClaw agent a persistent, graph-based long-term memory.

Instead of simple vector recall, MemTap builds a knowledge graph — memories are connected through entities, relationships, and temporal context. Your agent remembers facts, tracks decisions, discovers connections through multi-hop graph traversal, and consolidates knowledge over time.

Quick Start

# Install the plugin
openclaw plugins install memtap

# Sign up and get your API key at https://memtap.ai

# Configure
openclaw config set plugins.entries.memtap.config.apiKey "mt_live_your_key_here"
openclaw config set plugins.entries.memtap.config.serverUrl "https://api.memtap.ai"

# Restart gateway
openclaw gateway restart

That's it. Your agent now has memory.

What It Does

14 Tools

| Tool | Description | |------|-------------| | memtap_recall | Semantic search across the knowledge graph | | memtap_remember | Store a new memory with auto-extracted entities | | memtap_bulletin | Context bulletin with graph expansion — agent "knows" related things | | memtap_graphrag | Multi-hop GraphRAG: vector/BM25 search + graph traversal | | memtap_maintenance | Memory hygiene: decay reports, contradiction detection, dedup | | memtap_graph | Graph analysis: overview, gaps, clusters, connections, traverse | | memtap_decide | Decision tracking: create, list, resolve, defer | | memtap_memory | CRUD operations on individual memories | | memtap_entities | Entity management: list, get linked memories, merge duplicates | | memtap_edges | Create relationships between memories | | memtap_health | Server health check and memory statistics | | memtap_monitor | Neural performance monitoring and analytics | | memtap_alerts | Anomaly detection and alerting system | | memtap_dashboard | Comprehensive system overview dashboard |

5 Hooks

Pre-message recall — Automatically loads relevant context before each conversation turn
Post-message capture — Extracts and stores important information from conversations
Bootstrap bulletin — Injects a memory context bulletin when an agent session starts
Periodic consolidation — Background memory maintenance and knowledge consolidation
Session analytics — Performance monitoring across sessions

Configuration

{
  "plugins": {
    "entries": {
      "memtap": {
        "enabled": true,
        "config": {
          "serverUrl": "https://api.memtap.ai",
          "apiKey": "mt_live_...",
          "agentId": "main",              // optional: scope memories per agent
          "autoCapture": true,            // auto-extract memories from conversations
          "bulletinOnBoot": true,         // inject memory context on session start
          "bulletinTopics": ["projects", "preferences"],
          "decayRate": 0.005              // memory importance decay per day
        }
      }
    }
  }
}

Optional: Embedding Support

For vector-enhanced GraphRAG search, configure an embedding provider:

{
  "embeddingUrl": "https://api.openai.com/v1/embeddings",
  "embeddingModel": "text-embedding-3-small",
  "embeddingApiKey": "sk-..."
}

Pricing

| Plan | Price | Memories | Agents | API Calls | |------|-------|----------|--------|-----------| | Free | $0/mo | 1,000 | 1 | 10,000 | | Starter | $13/mo | 50,000 | 3 | 500,000 | | Pro | $43/mo | 500,000 | 15 | 5,000,000 | | Team | $109/mo | 2,000,000 | Unlimited | 50,000,000 | | Enterprise | $1,299/mo | 10,000,000 | Custom | Custom |

Why MemTap?

Graph-based: Full knowledge graph, not just vector similarity
Cloud-native: Managed service — no database setup needed
GraphRAG: Multi-hop traversal discovers connections vector search misses
Decision tracking: Unique decision management for AI agents
Auto-capture: Learns from conversations without explicit commands
Memory decay: Natural forgetting keeps the graph relevant
8x cheaper: $13/mo vs $99/mo (Mem0, Zep)

License

MIT — psifactory LLC