Kata Context Coming Soon

Intelligent context
for AI agents

Infrastructure, not framework. Works with any agent, any LLM.

Be first to know when Context launches.

How it works

The context layer
your agents need

Your Agent
Claude Code Custom Agent Any Framework
Messages
Kata Context
Compaction Summarization Retrieval Windowing
Optimal Window
LLM
Claude GPT-4 Gemini Any Model
Capabilities

Context management
done right

Policy, Not Storage

Given messages and a context budget, determine the optimal window. Context makes decisions about what to include, not just where to store it.

Budget-Aware Optimization

Automatically compacts, summarizes, and retrieves based on your token budget. Never waste context on irrelevant history.

Multi-LLM Compatible

Works with Claude, GPT-4, Gemini, and any other LLM. Context management that adapts to different model context windows.

Framework Agnostic

Infrastructure, not framework. Like Postgres vs Rails — Context works with any agent framework, any workflow, any stack.

Intelligent Windowing

Smart sliding windows that preserve conversation coherence. Recent context weighted appropriately against historical relevance.

Secure by Design

Your conversations stay yours. On-premise deployment options. No data leaves your infrastructure unless you want it to.

Philosophy

Infrastructure,
not framework

Like Postgres vs Rails. Context is the database layer for your agent conversations.

Framework Approach
Infrastructure Approach
Coupling
Tight — locked to one system
Loose — works with anything
Flexibility
Must use their patterns
Use your own patterns
Migration
Rewrite everything
Swap components freely
Focus
Does everything (poorly)
Does one thing (well)

Get early access

Join the waitlist for Kata Context. Be first to try intelligent context management for your AI agents.