Now in Public Beta

Give Your AI
Perfect Memory

Sunaiva is the memory layer for AI agents. Every conversation remembered, every insight retained, instantly recalled — across every session, forever.

Start Free See How It Works

<100ms

Recall Latency

MCP

Native Protocol

99.9%

Uptime SLA

sunaiva_connect.py Python

          # Connect Sunaiva to your AI agent
          import sunaiva
           
          # Initialize the memory client
          client = sunaiva.Client(
          api_key="sun_live_••••••••",
          agent_id="agent-9c42d3ce"
          )
           
          # Store a memory instantly
          client.remember(
          content="User prefers async updates",
          tags=["preference", "ux"]
          )
           
          # Recall with semantic search
          memories = client.recall(
          query="user communication style",
          limit=5
          )
           
          # > 3 memories found in 47ms 
        

How It Works

From zero to persistent memory in minutes

Three steps. One line of code. Your AI goes from amnesia to perfect recall.

Step 01

Connect

Add Sunaiva to your AI agent in one line. Drop-in MCP server, REST API, or Python SDK. Works with Claude, GPT-4, Gemini — any agent.

mcp install sunaiva --key sun_live_xxxxx

Step 02

Remember

Every interaction is automatically captured, structured, and indexed. Entities, decisions, preferences — all extracted and persisted in your private vault.

client.remember("User hates popups")

Step 03

Recall

Instant semantic search across all stored memories. Your agent retrieves relevant context before every response — sub-100ms, every time.

memories = client.recall("user preferences")

Features

Everything your agent needs
to truly remember

Built for developers who demand speed, privacy, and reliability from their AI infrastructure.

⚡

Instant Recall

Sub-100ms semantic search across millions of memories. Powered by a vector engine purpose-built for agent workloads — no cold starts, no batch delays.

p99 < 100ms

🔒

Private by Design

Your data is isolated at the database layer. No cross-tenant queries. No data training on your memories. Exportable, deletable, fully yours.

Per-user isolation

🤖

MCP Native

First-class Model Context Protocol support. Works out-of-the-box with Claude desktop, Cursor, and any MCP-compatible agent. Ship in minutes, not days.

Claude + GPT + Gemini

🌐

Cross-Session Memory

Memory persists across every conversation, every device, every session reset. Your agent picks up exactly where it left off — weeks or months later.

Unlimited history

📊

Memory Analytics

Dashboard visibility into what your AI knows. View memory clusters, usage patterns, top entities. Understand — and audit — your agent's knowledge state.

Live dashboard

🔧

Developer First

Full REST API with 18 documented endpoints. Webhooks for async events. Python and Node SDKs. OpenAPI spec included. Production-ready from day one.

Full API + Webhooks

Use Cases

Built for every AI workflow

From voice agents to personal assistants — Sunaiva memory transforms every AI interaction.

Voice Agents

Never ask the same
question twice

Voice AI agents with persistent memory feel fundamentally different. They remember the caller's name, their business, last interaction, and stated preferences — before they say a word.

Caller context injected before every conversation starts
Previous appointments, preferences, and notes recalled instantly
Conversation outcomes automatically written back to memory
Integrates with Telnyx, VAPI, and any voice platform

Caller Memory — Live

James called about roof leak 3 weeks ago. Prefers morning calls. Has insurance through Allianz. Booked Dave for inspection.

47ms recall 0.94 relevance

Previous Interaction

2026-01-15: Quoted $1,400 for full roof reseal. Needs a second quote for insurance claim. Follow up Feb.

23 days ago 0.89 relevance

Preference Signal

Explicitly said no to email — SMS or call only. Mentioned "busy mornings" twice. Responds fastest between 2–4pm.

Extracted from 3 calls 0.96 confidence

Customer Service

Every customer
remembered perfectly

AI support agents that remember every ticket, every resolution, every frustration. No more asking customers to repeat themselves. No more losing context between agents.

Full ticket history accessible in milliseconds at session start
Automatic escalation triggers based on memory patterns
Satisfaction signals extracted and stored across interactions
Works alongside any helpdesk — Zendesk, Intercom, custom

Customer Profile — Auto-Generated

Sarah Williams. Enterprise account. 3 open tickets in 30 days. Escalated twice. High churn risk flagged by memory pattern.

Auto-extracted Risk: High

Prior Resolutions

Ticket #4421 resolved Feb 12 — API timeout fix deployed. She mentioned "this is the third time" — note frustration signal for next agent.

11 days ago Critical context

Personal AI

Your AI that
truly knows you

Upload months of Claude, ChatGPT, or Gemini conversations. Sunaiva extracts your preferences, decisions, projects, and context — making every future AI session feel like a continuation.

Upload conversations from any major AI platform
Decisions, preferences, and facts auto-extracted
MCP server drops into Claude desktop in 2 minutes
Every new session starts with full personal context

Personal Knowledge — 847 memories

Tech stack: FastAPI + Supabase + Next.js. Avoids Redux. Prefers Tailwind. Uses Vercel for deploys. Side project: IndieHackers tool.

From 6 months of chats Always current

Decision History

Chose PostgreSQL over MongoDB Jan 2026 after Sunaiva research. Rejected Prisma — too much abstraction. Loves raw SQL with psycopg2.

Architecture decision High confidence

Live Demo — Memory-Enabled Voice Agent

Hear It In Action

Call our AI demo and ask it to remember something — then ask it again. This is what persistent memory feels like in a real voice conversation. No scripts. No pretending.

Speaks naturally — no robotic tone, no caricature

Memory persists across every call session

Demo data stays private — isolated per session

Click to connect. Ask the agent to remember something — then test its recall.

Pricing

Simple pricing.
No surprises.

Beta pricing active. All plans month-to-month. Cancel anytime. Early adopters lock in their rate forever.

Developer

$49/mo

For individual developers and personal AI assistants.

10,000 memories stored
1 AI agent connected
REST API + MCP access
Semantic search
Basic analytics dashboard
Email support

Start Developer Plan

Builders who
ship with Sunaiva

★★★★★

"Sunaiva transformed our support bot. Our agents now have full caller history before a word is spoken. The integration took one afternoon — the impact was immediate."

40% fewer repeated questions

Marcus Chen

CTO @ BuildFlow

★★★★★

"The MCP integration took ten minutes. Memory was instant. Our AI assistant now feels like it genuinely knows each user — not just their current session."

Ship time: 10 minutes

Sarah Williams

AI Product Lead @ Nexflow

★★★★★

"Our agents finally feel like they know our customers. I cannot overstate how much that changes the interaction quality. Sunaiva is now a non-negotiable part of our stack."

3x customer satisfaction

James Okafor

Founder @ Dispatch AI

Give Your AIPerfect Memory

From zero to persistent memory in minutes

Connect

Remember

Recall

Everything your agent needsto truly remember

Instant Recall

Private by Design

MCP Native

Cross-Session Memory

Memory Analytics

Developer First

Built for every AI workflow

Never ask the samequestion twice

Every customerremembered perfectly

Your AI thattruly knows you

Hear It In Action

Simple pricing.No surprises.

Builders whoship with Sunaiva

Ready to give your AI perfect memory?

Give Your AI
Perfect Memory

Everything your agent needs
to truly remember

Never ask the same
question twice

Every customer
remembered perfectly

Your AI that
truly knows you

Simple pricing.
No surprises.

Builders who
ship with Sunaiva