Production-validated across 30+ AI agents

Memory that thinks for your agents

27-tier cognitive memory API. Sub-1ms hot recall. Automatic lifecycle: ingest → decay → consolidate → retrieve. Built for fleets, priced for teams.

Join the Beta → See the API

Why agent memory is hard

Every current option is a duct-tape solution.

Problem	Current "solution"	NovaMem answer
Context window fills up mid-session	Summarize + hope for coherence	Tiered recall — right memory at right moment
Agent forgets user preferences cross-session	Re-inject full history on every start	Session reconnect: identity + top-50 semantic memories
Multiple agents contradict each other	Shared prompt or manual sync	Domain-scoped namespacing per agent + shared Collective domain
Stale memories pollute reasoning	Manual TTL or delete everything	Automatic decay: hot → structured → semantic → archive
Agent "drifts" over time	Restart from scratch	Identity + digenetics engine: personality encoded, not re-prompted

Three-zone memory architecture

Hot → Structured → Semantic. Each tier serves a purpose. NovaMem routes automatically.

🔥 Hot Zone

DragonflyDB-backed. Sub-0.2ms. Current session context, active working memory. TTL-managed.

📦 Structured

PostgreSQL + Neo4j. 48,000+ memories indexed. Relational queries, graph traversal, entity relationships.

🧠 Semantic

Qdrant vector store. Embedding-based recall. Finds conceptually related memories, not just keyword matches.

🔍 Search

Elasticsearch for full-text. ClickHouse for analytics. Hybrid recall fuses all zones per query.

📡 Events

Redpanda (Kafka-compatible) for memory lifecycle events. Audit trail, drift detection, cross-agent sync.

🌐 27 Domains

Communication, Identity, Temporal, Cognition, Emotions, Creative, and 21 more. Schema-validated per domain.

Simple REST API

Ingest, recall, delete. Works with any language, any agent framework.

# Ingest a memory
POST /api/v1/memory/ingest
{
  "agent_id": "my-agent",
  "domain": "Communication",
  "content": "User prefers bullet points over prose",
  "tier": "structured"
}

# Recall — fused across all zones
POST /api/v1/memory/recall
{
  "agent_id": "my-agent",
  "query": "user communication preferences",
  "limit": 10
}
→ Returns: [{content, domain, score, tier, age_seconds}]

# Health check
GET /health
→ {"status":"healthy","zones":[...],"domains":[...27 domains]}
  

Compatible with LangGraph, AutoGen, CrewAI, Claude Agent SDK, and raw HTTP. SDK wrappers for Python and TypeScript coming in beta.

Pricing

Start free. Scale when your agents do.

Developer

$99/mo

For indie hackers and single-agent prototypes.

10,000 memories/month
5 cognitive domains
REST API access
30-day retention
Community support
Multi-agent namespacing
Graph traversal
Identity continuity

Join waitlist →

Studio ★ Most popular

$499/mo

For AI startups shipping production agents.

100,000 memories/month
All 27 cognitive domains
Multi-agent (up to 10 agents)
1-year retention + archive
Identity continuity module
Session reconnect support
Priority email support
Graph traversal (add-on)

Join waitlist →

Enterprise

$2,500/mo

For AI infrastructure companies and large fleets.

Unlimited memories
All 27 domains + custom taxonomy
Unlimited agents
On-prem deployment option
Graph traversal included
Analytics dashboard
SLA: 99.9% uptime <2ms p99
Dedicated support + onboarding

Production-proven, not demo-ware

We built NovaMem to run our own fleet of 30+ AI research agents. We didn't prototype it — we deployed it.

48,003

Structured memories indexed in production as of 2026-03-19

27/27

Cognitive domains healthy — Communication through Existential

0.17ms

Hot zone recall latency (p95 on production hardware)

6 months

In continuous production — not a side project

16 crates

Rust crate modules: core, ingest, recall, lifecycle, events, API, and more

Schema version — billing-ready, multi-tenant RLS in progress

Join the beta

We're onboarding design partners now — AI startups building production agents. Free Studio access for 90 days in exchange for feedback.

Apply for Design Partner Access →

or email hello@teamadapt.dev directly