Open source memory SDK for AI agents

Your agents forget everything
between sessions.

AgentRecall gives your AI agents persistent, intelligent memory. Graph relationships, semantic search, and AI-powered processing — so every conversation builds on the last.

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Graph

Memory

Semantic

AI

Processing

Multi-Agent

Support

Three lines to persistent memory

Install the SDK, initialize with your API key, and start storing memories. That's it.

# Install
npm install agentrecall

# Or with Python
pip install agentrecall

import { AgentRecall } from "agentrecall";

const recall = new AgentRecall({
  mode: "cloud",
  apiKey: process.env.AGENTRECALL_API_KEY
});

// Store a memory — AI processes it automatically
await recall.store({
  content: "User wants the dashboard redesigned with dark mode",
  agentId: "ui-agent"
});

// Search by meaning, not keywords
const memories = await recall.search({
  query: "what UI changes did the user request?",
  agentId: "ui-agent"
});

// Traverse relationships
const connected = await recall.traverse(memories[0].id, {
  depth: 2,
  relationship: "relates_to"
});

Memory that thinks

AgentRecall isn't a key-value store with a fancy name. It's a memory system built for how AI agents actually need to remember.

🔗

Graph Memory

Neo4j-powered relationship graph between memories. Memories aren't just stored — they're connected. Query by traversal, find hidden connections across your agent's entire history.

// Traverse memory relationships
const related = await recall.traverse(memoryId, {
  depth: 3,
  relationship: "relates_to",
  filter: { topic: "project_alpha" }
});

🧠

AI Memory Processing

Qwen2.5-7B extracts entities, detects relationships, and auto-categorizes every memory. Your agent's knowledge base is enriched automatically — no manual tagging needed.

// Memories are processed automatically
await recall.store({
  content: "User prefers dark mode and React",
  agentId: "support-agent"
});
// → entities: [dark_mode, React]
// → relationships: [user→preference→dark_mode]
// → category: "user_preferences"

🔍

Semantic Search

Vector embeddings plus full-text search. Find memories by meaning, not just keywords. Your agent understands context and retrieves what's truly relevant.

// Search by meaning, not keywords
const results = await recall.search({
  query: "what did we discuss about pricing?",
  agentId: "support-agent",
  limit: 5,
  threshold: 0.7
});

☁️

Cloud API

RESTful API with authentication, usage tracking, and multi-agent support. Deploy in minutes, scale to millions of memories. Built for production workloads.

// RESTful API with auth
const recall = new AgentRecall({
  mode: "cloud",
  apiKey: process.env.AGENTRECALL_API_KEY
});

await recall.store({
  content: "Session notes from standup",
  metadata: { team: "engineering" }
});

🤖

Multi-Agent Support

Each agent gets isolated memory with its own namespace. Cross-agent query when needed. Perfect for teams of specialized agents working together.

// Isolated memory per agent
const salesAgent = recall.agent("sales");
const supportAgent = recall.agent("support");

// Cross-agent query when needed
const shared = await recall.search({
  query: "customer onboarding status",
  agents: ["sales", "support"]
});

🔑

Bring Your Own Key

Local mode uses your own Neo4j and models. Cloud mode hosted by us. Same SDK, same API. Switch between modes with a single config change.

// Local mode — your infrastructure
const local = new AgentRecall({
  mode: "local",
  neo4j: "bolt://localhost:7687",
  model: "qwen2.5-7b"
});

// Cloud mode — same API, hosted by us
const cloud = new AgentRecall({
  mode: "cloud",
  apiKey: process.env.AGENTRECALL_API_KEY
});

Simple, transparent pricing

Start free. Scale when you're ready. No surprises.

Free

$0forever

✓1,000 memories
✓Basic semantic search
✓Single agent
✓Community support
✓Local mode (BYOK)

Get started for free

Pro

$3/month

✓Unlimited memories
✓Graph memory (Neo4j)
✓AI memory processing
✓Smart semantic search
✓Multi-agent support
✓Cloud API access
✓Priority support

Create Pro Account

Your agents forget everythingbetween sessions.