d33pmemory is a hosted memory-as-a-service API for AI agents. It gives your agents persistent, structured memory across sessions — including episodic, semantic, and procedural memory layers with confidence tracking.

How does d33pmemory work with AI agents?

You call the d33pmemory API to store and retrieve memories for your users. The API extracts structured facts, infers patterns, and returns the most relevant context for each conversation — so your agent always knows who it's talking to.

Which AI frameworks does d33pmemory support?

d33pmemory works with any AI framework or LLM. It has native integrations with LangChain, LlamaIndex, and OpenAI-compatible APIs, plus a proxy mode that intercepts LLM calls automatically.

Is there a free plan?

Yes. d33pmemory has a free tier for developers to get started. Paid plans unlock higher memory limits, faster consolidation, and team features.

🎉 We just closed a $1M Private Round!Read the announcement →

Your agents forget everything.
Ours don't.

Get Access How it works —

Trusted by top AI teams

Google

Amazon

Microsoft

How d33pmemory runs your agents.

Platform Overview
Always Evolving
Version 2.0

Step 01Connect

Connect your agents.

OpenClaw, custom LangChain setups, or raw API calls — d33pmemory integrates effortlessly as your central memory layer.

Step 02Extract

Extract structured memories.

Our engine normalizes every conversation, identifying facts, relationships, and preferences, resolving conflicts automatically.

Step 03Compile

Retrieve and compile context.

Pull exactly what your agent needs to know right before answering, minimizing tokens while maximizing context.

Infrastructure

Built for scale. Designed for agents.

Everything you need to give your agents infinite, structured, and confident memory—without managing infrastructure.

01 / Infinite Storage

Never run out of context.

Our multi-layer storage architecture automatically compresses, consolidates, and organizes millions of memories per agent so you don't have to manage vector DBs.

Universal API

REST endpoints that work with any language, framework, or LLM provider.

Enterprise Security

SOC2 Type II, AES-256 encryption, and isolated agent memory vaults by default.

02 / Open Source

The OpenClaw Plugin

Install our official plugin to automatically hook into agent lifecycles. Zero configuration needed.

openclaw plugins install d33pmemory

Step 01 // Connect

The OpenClaw Plugin.

Hook d33pmemory into OpenClaw or any existing framework. We pull raw events and conversations in real-time. No manual data migration required.

Step 02 // Process

Agents extract memories.

Our engine transforms raw dialogue into structured facts and relationships. Every interaction is normalized and mapped to your agent's private memory graph.

Step 03 // Retrieve

Retrieve on demand.

Compile optimized context exactly when the agent needs it. Continuous visibility into what your agents know, with full audit trails for every fact.

Wall of Love

Trusted by top AI engineering teams.

Don't just take our word for it.

"We cut our agent's context window usage by 94%. d33pmemory just works — two API calls and our assistant remembers everything."

Marcus T.

AI Engineer

"Replaced our entire RAG pipeline in an afternoon. The confidence scoring alone is worth it — we finally know what the agent is sure about vs guessing."

Priya S.

Backend Lead

"The conflict detection is the killer feature. When a user updates their preferences, old memories get flagged. No more stale data poisoning responses."

Lena K.

ML Researcher

Comparison

How we compare

Feature	d33pmemory	Mem0	Zep	Supermemory
Confidence scoring
Conflict detection
Evidence chains
Multi-layer memory		Partial
Temporal filtering
Team/fleet memory

Simple plans for complex agents.

Plans & Pricing
Always Evolving
Version 2.0

Basic Plan

Basic

$19/mo

3 Agents
5,000 Memories stored
2,000 Ingests/month
3 Teams
Extraction + Recall

Select Plan

Professional Plan

Pro

$39/mo

Unlimited Agents
100,000 Memories stored
20,000 Ingests/month
Unlimited Teams
Extraction + Recall
Auto consolidation
Fleet / collective memory
Recall scoping
Priority support