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Memory for AI Agents

Give your agents persistent state, context, and learning that survives across executions. Simple REST API. Unlimited memory pads. Usage-based pricing.

Built for Developers

Unlimited Pads

Each agent gets its own dedicated memory store. Provision as many as you need.

Simple REST API

Works with any framework — LangChain, CrewAI, custom scripts. Language agnostic.

Official SDKs

First-class Python and TypeScript SDKs. Get started in minutes with idiomatic code.

Usage-Based Pricing

Pay only for what you use. No fixed caps. Generous free tier included.

How It Works

Your agent solves a tricky problem, then records what it learned for next time. Each agent can have its own pad, or agents can share learnings.

from mempad import MemPad

client = MemPad(api_key="your_api_key")

# Load past learnings
memory = client.read("support_agent")

# Agent solves a new problem in a novel way...

# Record insights for next time
client.write("support_agent", """
  Learned: Acme Corp's API uses Unix
  timestamps in milliseconds, not seconds.
  Caused 3 failed integrations before.
""")
import { MemPad } from 'mempad';

const client = new MemPad({ apiKey: 'your_api_key' });

// Load past learnings
const memory = await client.read('support_agent');

// Agent solves a new problem in a novel way...

// Record insights for next time
await client.write('support_agent', `
  Learned: Acme Corp's API uses Unix
  timestamps in milliseconds, not seconds.
  Caused 3 failed integrations before.
`);
# Load past learnings
curl -X GET "https://api.mempad.dev/v1/memory?padId=support_agent" \
  -H "Authorization: Bearer $API_KEY"

# Record insights for next time
curl -X POST "https://api.mempad.dev/v1/memory" \
  -H "Authorization: Bearer $API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"padId": "support_agent", "content": "..."}'

Memory That Improves Itself

MemPad doesn't just dump text into storage. AI continuously restructures and optimizes your memory.

New info
AI analyzes
Restructures
Better recall
Your
Memory
  • Compresses redundant information
  • Surfaces patterns across conversations
  • Prioritizes the most relevant context
  • Evolves as your needs change

No rigid folders, complex hierarchies, or esoteric data structures. Your memory self-organizes.

Agent Memory vs Personal Memory

Personal Memory

For individuals using AI assistants

  • Single memory pad
  • MCP protocol access
  • Flat monthly pricing
  • Works with Claude, ChatGPT, etc.
Get Early Access

Interested in Agent Memory?

We're building Agent Memory for developers who need persistent state for their AI agents. Tell us about your use case and we'll reach out when it's ready.

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