Your agents forget everything.
Ours don't.
d33pmemory is a cognitive memory engine for AI agents. It doesn't just store what users say — it understands it. Every conversation becomes structured knowledge with confidence tracking, evidence chains, and automatic contradiction resolution.
{
"user_message": "Book dinner for me and Emma",
"source": "slack-bot"
}fact: gluten-free diet 0.95 stated
rel: companion: Emma 0.88 inferred
event: dinner booking 0.92 stated
pref: Italian cuisine 0.74 inferredQuick start
Two endpoints. That's it.
Sign up and activate your plan
Create an API key — each key is one agent identity
After your agent responds, call POST /v1/ingest with the conversation
When your agent needs context, call POST /v1/recall with a natural language query
Use the returned memories to enrich your agent's responses
How it works
Every conversation becomes structured knowledge
Multi-layer cognitive model
Episodic, semantic, and procedural memory layers — mirroring how humans organize knowledge.
Confidence tracking
Every memory scored 0.0–1.0. Stated vs inferred is always clear. Evolves as evidence accumulates.
Auto consolidation
Corroborated memories strengthen. Stale ones decay. Contradictions resolve automatically.
Semantic recall
Search by meaning, not keywords. Describe what you need in natural language.
Context compilation
142 tokens of distilled intelligence replacing 15,000 tokens of conversation history.
Evidence chains
Every fact has provenance — which interaction, when, and whether stated or inferred.
Why d33pmemory
Beyond vector search
Standard RAG
d33pmemory
Memory structure
Five types of knowledge
Our extraction engine categorizes every piece of knowledge, each with confidence and provenance.
{
"type": "fact",
"content": "User is gluten-free",
"confidence": 0.95,
"source": "stated",
"scope": "shared",
"contributed_by": "slack-bot"
}Agent fleet
Collective intelligence for agent fleets
Each agent builds its own private knowledge while contributing to a shared pool. New agents inherit everything the fleet has ever learned.
User account (you@company.com)
├── slack-bot → private memories
├── customer-agent → private memories
├── personal-assistant → private memories
└── shared pool → all agents contribute & read
Pricing
Simple, transparent pricing
Start free. Scale when your agents need more memory.
Enterprise
Soon- Unlimited agents
- 100,000 memories
- Unlimited ingests
- SSO & SLA
"We replaced 200 lines of RAG pipeline code with two API calls. Our agent went from forgetting users mid-conversation to remembering preferences from weeks ago."
AKAI EngineerBuilding with d33pmemory since beta
AI agents that remember.
Give your agents persistent memory in under 5 minutes. Free to start.