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New — Intelligence Layer

Graph Memory for AI Agents
Auto Entity Extraction

Every memory you store is parsed by GPT-4o-mini. Entities are extracted, typed, and linked — then queryable via a single REST endpoint. Zero configuration.

✓ Shipped — live now Included from Builder €29/mo 5 entity types GET /agents/{id}/graph

Three steps. Zero config.

Graph memory is automatic. You call the same /remember endpoint you already use.

Step 1
📥
Store a memory

POST any text to /remember. The memory is embedded and saved — same as always.

POST /api/v1/agents/{id}/remember
{"content": "Alice prefers dark mode and uses VS Code"}
Step 2
🧬
Auto entity extraction

GPT-4o-mini parses the content and extracts typed entities — person, org, preference, fact, procedure — with relations.

// Extracted automatically:
person: "Alice"
preference: "dark mode"
preference: "VS Code"
Step 3
🕸
Query the graph

GET /graph returns all entities for an agent, grouped by type and linked back to source memories.

GET /api/v1/agents/{id}/graph
→ entities, relations, memory_ids

Five types extracted automatically

Each entity type has a dedicated schema optimised for agent memory recall patterns.

Entity type Description Example
person Named individuals — users, contacts, colleagues "Alice", "CEO of Acme", "the user's manager"
organization Companies, teams, products, services "Acme Corp", "the data team", "Stripe"
preference User likes, dislikes, settings, habits "prefers dark mode", "dislikes long emails"
fact Objective statements, values, attributes "plan is Builder", "located in Berlin"
procedure How-to steps, workflows, instructions "always run tests before committing"

GET /agents/{id}/graph

Returns the full entity graph for an agent. Filter by type using the entity_type query parameter.

GET/api/v1/agents/{id}/graph Response 200
{
  "agent_id": "agt_abc123",
  "entity_count": 12,
  "entities": [
    {
      "id": "ent_001",
      "type": "person",
      "value": "Alice",
      "memory_ids": ["mem_xyz", "mem_abc"],
      "confidence": 0.94
    },
    {
      "id": "ent_002",
      "type": "preference",
      "value": "dark mode",
      "relations": [{ "entity_id": "ent_001", "relation": "prefers" }],
      "memory_ids": ["mem_xyz"],
      "confidence": 0.91
    },
    {
      "id": "ent_003",
      "type": "organization",
      "value": "Acme Corp",
      "memory_ids": ["mem_def"],
      "confidence": 0.98
    }
  ],
  "relations": [
    { "from": "ent_001", "to": "ent_002", "type": "prefers" },
    { "from": "ent_001", "to": "ent_003", "type": "works_at" }
  ]
}

Graph memory pricing — Kronvex vs alternatives

Graph memory is a paid upsell with competitors. With Kronvex it's included in every plan.

Feature Kronvex Zep Mem0
Graph memory Native — GET /graph Graphiti (self-host) or $475/mo cloud ~ Pro+ only ($249/mo)
Entity types person · org · preference · fact · procedure node / edge (schema-free) Varies by tier
Setup required Zero — automatic at write time Neo4j + Graphiti service (self-host) ~ SDK config + tier upgrade
EU data residency Frankfurt (eu-central-1) — GDPR native US-hosted, no EU option US-hosted by default
Price for graph From €29/mo (Builder) $475/mo (cloud) or self-host $249/mo (Pro+)
Zep Cloud
$475/mo
Entry plan for graph (Graphiti)
  • Open-source Graphiti engine
  • US-hosted, no EU option
  • Requires Neo4j for self-host
  • Community edition deprecated
Mem0 Pro+
$249/mo
Graph unlocked at Pro tier
  • Graph gated behind Pro+ tier
  • SDK-first (Python required)
  • US-hosted by default
  • Usage-based overages apply

Start with graph memory free

Get a demo key instantly. Store memories, extract entities, query the graph — no credit card, no infra.