Memory infrastructure for AI agents

AI agents that actually remember

Persistent, structured memory across every conversation, session, and user. One SDK call and your agent never forgets.

npm install @agentrecall/sdk
Session 1
Session 2
Session N

Every AI agent starts from scratch

Stateless by default

Every session resets. Your agent forgets user preferences, past decisions, and everything it learned last week.

Context window overhead

Forcing full history into every prompt burns tokens fast. Cost scales, performance degrades, and context collapses.

No cross-session continuity

You built the agent. But it can't remember what it did yesterday, who it talked to, or what it learned. That's not intelligence.

Current AI frameworks store context as raw text, summaries, or vector chunks. This leads to predictable failures.

Memory that agents actually trust

01

Attach in one line

Drop the AgentRecall SDK into any agent in minutes. Works with LangChain, AutoGen, CrewAI, or custom harnesses.

02

Agents remember automatically

Every interaction is captured, structured, and stored. Preferences, decisions, context. All persistent.

03

Recall at query time

Before every response, AgentRecall surfaces the most relevant memories. No token waste. No context rot.

Capture
Structure
Recall

Three lines to persistent memory

agent.js
// 1. Import the SDK
import { AgentRecall } from '@agentrecall/sdk';

// 2. Initialize once per agent
const memory = new AgentRecall({ 
  agentId: 'support-agent-v2' 
});

// 3. Use it — everything is automatic
memory.capture(context);

const relevant = await memory.recall({ 
  query: userMessage,
  limit: 5 
});
3 Lines to integrate
50ms Average recall latency
Any Framework or language

Built for production agents

Structured memory

Memories aren't raw text dumps. AgentRecall extracts entities, relations, and facts — so retrieval is precise, not fuzzy.

Framework agnostic

Works with LangChain, AutoGen, CrewAI, Vertex AI, Claude Agents, or any custom harness. One SDK, any stack.

Memory lifecycle

Configurable retention, selective forgetting, and user-controlled deletion. Privacy built in by default.

Multi-agent memory

Agents share memory pools when it makes sense. Team context, shared knowledge bases, coordinated recall.

Observability

Dashboard showing what's stored, what's recalled, retrieval quality, and memory health in real time.

Vector + relational

Semantic search meets structured queries. Find the agent's memories about "customer payment failures last month" with one call.

Stop rebuilding context from scratch.

The agents that remember are the ones that ship real value. AgentRecall is the memory layer that makes that possible — managed, fast, and production-ready.

Framework agnostic Sub-50ms recall Privacy-first TypeScript SDK