Federate Your Agent Memory

The middleware service that breaks memory silos. Connect any AI agent to any memory store through a unified API. Query, share, and sync context across your entire multi-agent system.

The Problem

Multi-agent systems create memory silos. Each agent has its own memory backend with incompatible schemas. Sharing context requires brittle point-to-point integrations.

A
Pinecone (user_prefs)
B
Redis (user_profile)
C
Chroma (context_vector)

The Solution

Agent Memory Interop Broker sits in the middle. Plug in your adapters, define schema mappings, and query any memory store through one unified API.

Memory Broker (unified API)
↓ All your agents connect here ↓

How It Works

Four steps to break your memory silos

1

Install Adapters

Connect your memory stores with one-click adapters for Pinecone, Redis, Chroma, and more.

2

Configure Endpoints

Point to your existing endpoints and credentials. We handle the connection.

3

Define Schemas

Map fields between systems. Your "user_prefs" becomes their "user_profile".

4

Query Everything

Use our unified API to read, write, and search across all your memory stores.

Supported Adapters

Connect any memory backend your agents are already using

Pinecone

Vector database for semantic search and embeddings

Redis

Fast in-memory key-value store for caching

Chroma

Open-source embedding database for AI applications

See It In Action

Watch agents share context in real-time

Live Demo

Memory Graph Visualization

Try the Dashboard for full interactivity

Simple, Transparent Pricing

Start free, scale as you grow

Starter

$29/month
  • 2 agents
  • 3 memory backends
  • 100K queries/month
  • Basic schema mappings

Team

$249/month
  • Unlimited agents
  • Unlimited backends
  • 50M queries/month
  • 99.9% SLA
  • API access