StickyAgent

Give Your Agents Memory

StickyAgent is a drop-in memory layer for LangGraph, CrewAI, and AutoGen.

Persistent memory. Session replay. Summary stitching.

Get early access when we launch. No spam, ever.

Agents forget. StickyAgent remembers.

StickyAgent is a drop-in memory layer for LLM agents like LangGraph, CrewAI, and AutoGen. It captures and recalls conversations across sessions — so your agents feel persistent.

# Install & use
pip install stickyagent

from stickyagent import Memory

memory = Memory("session_123")
agent = CrewAI(memory=memory)

# Your agent now remembers!

Why This Matters

LLMs forget fast

Agents lose context between runs

Context windows are limited

Prompt token limits cap memory

Everyone reinvents memory

Most agent memory is fragile, ad-hoc

How It Works

Embed + store past messages

Automatically capture and vectorize conversation history

Inject relevant context via summaries or session replay

Smart retrieval of relevant past interactions

Let agents act with continuity

Your agents remember and build on previous conversations

Built for developers building real agents

StickyAgent plugs into the tools you already use.

🧪

Research Agents

Seamless memory for LangGraph prototypes and experiments

🤖

Production LLM Workflows

Add continuity to CrewAI or AutoGen pipelines

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Custom AI Tools

Build smarter, persistent assistants with your own logic

Framework-agnostic. Python-first.

LangGraph
CrewAI
AutoGen
OpenDevin
Python
GPTCache

Private by design

You own the memory. We never train on your data.

End-to-end encryption support (coming soon)

You control data lifecycle

Bring your own vector DB

What's coming next

We're just getting started.

Multi-agent shared memory

Memory analytics & visualizations

CLI + VSCode extension

Bring-your-own embeddings support

1,200+ developers already on the waitlist

Your agents deserve memory.

Drop in your email and we'll let you know the moment we launch.

No spam. Just signal.