Intelligent Context Compression

Fold more in.

Smart context management for LLMs. Overcome token limits with intelligent condensation, hierarchical memory, and real-time optimization. Build agents that remember everything without paying for everything.

74%

Token Reduction

<5ms

Latency Overhead

3-tier

Memory Architecture

Context Loss

Features

Everything You Need for Context Control

A complete toolkit for managing LLM context windows, from basic compression to sophisticated multi-tier memory systems.

Context Condensation

Intelligently compress conversation history while preserving essential information. Reduce token usage by up to 70% without losing context.

Hierarchical Context

Multi-tier memory system that prioritizes recent interactions while maintaining access to important historical context.

RAG Integration

Seamlessly retrieve relevant documents and inject them into your context window at the right moment.

Smart Summarization

Automatic summarization of long conversations and documents to fit within token limits while preserving meaning.

Memory Buffering

Persistent memory layer that enables agents to recall information across sessions and conversations.

Real-time Optimization

Dynamic context window management that adapts based on task complexity and model constraints.

How It Works

Simple Integration, Powerful Results

Drop-in context management that works with any LLM provider.

Connect Your Agent

Integrate with a few lines of code. Works with OpenAI, Anthropic, and any OpenAI-compatible API.

Configure Your Strategy

Choose from condensation, RAG, summarization, or custom strategies. Fine-tune retention policies to match your use case.

Scale with Confidence

Monitor token usage, track context quality, and optimize costs in real-time through your dashboard.

import { Fold } from "@fold/sdk";

const fold = new Fold({ budget: 8000 });

// Before your LLM call
const optimizedMessages = await fold.prepare(conversationHistory);

// After the response
await fold.update(assistantResponse);

// That's it. Fold handles compression, storage, and retrieval.

Use Cases

Built for Modern AI Applications

From simple chatbots to complex multi-agent systems, context management that scales with your ambitions.

Agentic Workflows

Enable AI agents to maintain coherent context across complex, multi-step tasks without hitting token limits.

Long Conversations

Support extended chat sessions that span hours or days while keeping responses contextually relevant.

Document Processing

Process and reason over documents that exceed context window limits through intelligent chunking and retrieval.

Multi-Agent Systems

Coordinate context sharing between multiple AI agents working on collaborative tasks.

Pricing

Pay for intelligence, not repetition.

A "fold" = one context optimization operation. Most agents use 1 fold per turn.

Free

$0/month

10K folds/month
1 project
Community support

Build agents that remember everything.

Without paying for everything.