The Memory Layer
for Your AI Agents

Anona intercepts every LLM call, retrieves relevant context from memory, and silently injects it. Zero changes to your existing API calls.

Works with OpenAI · Anthropic · Gemini · any LLM

How it works

See the memory layer in action

Agents connect via REST API or MCP. Anona retains facts, recalls context, and reflects insights: across sessions and tools.

Features

Built for production: not a demo. Enterprise-grade isolation, sub-300ms recall, and zero SDK changes.

Persistent Context

Memories survive across sessions, users, and restarts. Your agent always knows who it is talking to.

Sub-300ms Recall

p95 recall under 300ms. Memory is injected before the LLM ever sees the request with no noticeable overhead.

Tenant Isolated

Every org gets its own PostgreSQL schema. Keys encrypted at rest with AES-256-GCM. No data bleed between tenants.

LLM Agnostic

Works with any OpenAI-compatible endpoint. Point your existing client at Anona and nothing else changes.

Usage Analytics

See what is being remembered, recalled, and which memories drive the most valuable responses.

Managed LLM Keys

Anona holds the LLM keys. Your customers never need to configure or expose their own provider credentials.

Pricing

Start free. Credits scale with model usage: flash models cost less, premium models cost more.

Free

$0/mo

Explore and prototype at zero cost.

Starter

$9/mo

For indie devs shipping real agents.