AI Agent Memory Toolkit — Give Your AI Agents Persistent Memory

The Problem

Your AI agent forgetts everything. Every. Single. Session.

🧠

Zero Persistence

Every conversation starts from scratch. Your agent doesn't remember yesterday's decisions, user preferences, or project context.

💸

Wasted Tokens

You're paying to re-explain the same context every session. 40-60% of your token spend is redundant context.

🔄

No Learning

Your agent can't learn from past mistakes. Same errors, same corrections, every single time.

👥

Agents Can't Collaborate

Multiple agents working on the same project? They can't share context. Each one is an island.

What You Get

5 production-ready modules. Python. Copy-paste. Deploy.

🗄️

Vector Memory Store

ChromaDB-powered persistent memory with cosine similarity search. Store thousands of memories, retrieve the relevant ones in milliseconds.

recall("user preferences") → 5 results

🏗️

Hierarchical Memory System

Three-layer architecture: Working (short-term), Episodic (medium-term), Semantic (long-term). Just like human memory.

memory.build_context(query) → rich context

🧹

Memory Consolidation

Automatic promotion of important memories, pruning of stale data. Your agent gets smarter over time, not bloated.

consolidate() → clean, relevant memory

🤝

Multi-Agent Sharing

Redis-powered shared memory store. Multiple agents can read/write shared context. Broadcast events across your agent fleet.

broadcast("agent1", "update", data)

🚀

Production Agent Class

Complete AgentWithMemory class with OpenAI integration. Drop it into your project. Works out of the box.

agent.chat("Hello") → with memory!

📊

Memory Analytics

Track memory usage, access patterns, and consolidation stats. Know exactly what your agent knows.

get_stats() → {facts: 42, episodes: 15}

Architecture

Three-layer memory with vector search backend

┌─────────────────────────────────────────────┐ │ User Input │ └─────────────────┬───────────────────────────┘ │ ▼ ┌─────────────────────────────────────────────┐ │ Working Memory (Short-term) │ │ - Current session context │ │ - Last 20 exchanges │ │ - Auto-eviction by importance │ └─────────────────┬───────────────────────────┘ │ (consolidation) ▼ ┌─────────────────────────────────────────────┐ │ Episodic Memory (Medium-term) │ │ - Past conversation summaries │ │ - Emotional context + outcomes │ │ - Relevance-ranked retrieval │ └─────────────────┬───────────────────────────┘ │ (reflection) ▼ ┌─────────────────────────────────────────────┐ │ Semantic Memory (Long-term) │ │ - User preferences │ │ - Facts & knowledge base │ │ - Confidence-scored retrieval │ └─────────────────────────────────────────────┘ │ ▼ ┌─────────────────────────────────────────────┐ │ Vector Store (ChromaDB) │ │ - Semantic search over all memories │ │ - Cosine similarity ranking │ │ - Persistent on disk │ └─────────────────────────────────────────────┘

Get It Now

One-time payment. Lifetime access. Free updates.

🧠 AI Agent Memory Toolkit

Complete memory architecture for production AI agents

$39 one-time

5 production-ready Python modules
Vector store integration (ChromaDB)
Hierarchical memory system
Multi-agent sharing (Redis)
Complete documentation + diagrams
MIT License — commercial use
Free lifetime updates

Buy Now — $39

🔒 Secure checkout via Lemon Squeezy · 📧 Instant delivery · 💰 30-day money-back guarantee

FAQ

What do I get exactly?

Complete Python source code for 5 memory modules: Vector Store, Hierarchical Memory, Consolidation, Multi-Agent Sharing, and a Production Agent class. Plus documentation and architecture diagrams.

What dependencies do I need?

Python 3.9+, chromadb, openai, and redis (optional, for multi-agent sharing). All pip-installable.

Can I use this commercially?

Yes. MIT License. Use it in your startup, your agency, your enterprise project. No attribution required.

Do I need Redis?

Only if you want multi-agent memory sharing. The core memory system works with just ChromaDB (embedded, no server needed).

What if it doesn't work for me?

30-day money-back guarantee. Email us, we refund. No questions asked.

Give Your AI Agents Persistent Memory