Context Management

"Not compression—curation. AI editors working alongside AI workers. 2M tokens in, 10K clean context out."

Demo Coming Soon

The 715:1 Context Ratio

Everyone asks: "How do you handle large codebases? How do you process millions of tokens?" The answer isn't a fancy algorithm. It's architecture.

We asked ourselves: how do humans actually process large amounts of information?

You don't read entire books. You:

1. Read source material

2. Take notes (not copy the whole book)

3. Compare new sources to existing notes

4. Only add NEW information

5. Compile final report

We taught our agents to do exactly that.

Mini-Agents: The Secret Sauce

Our mini-agents (Research Assistant, Junior Dev) work alongside main agents to control context:

Why This Beats "Compression"

Traditional compression:

Our approach:

Global Conversation Memory

Beyond per-task context, FrankenCoder maintains searchable conversation history:

Editable System Prompts

Full control over how each agent thinks:

"It's not compression, it's curation. Just like a human would do it."

Ready for Intelligent Context?

Join the private beta and work with massive codebases.

Join Private Beta ← Explore More Features