Second brain for AI agents
Your AI agent forgets.
Hebby doesn't.
The long-term memory for Claude Code, Codex & more. Modeled on the brain. Your agent knows before you ask. And it saves tokens while it does.
› You: Finish the export for project Atlas. ◆ Hebby remembers · 3 memories · 1 anticipated Client Nord: CSV with semicolons API server: times out on large batches anticipated: release branch, not main › Agent: On it. CSV with semicolons for Client Nord, and I'll query the API server page by page. Working on the release branch. ✓ No questions asked. No repeat mistakes.
Complements, never replaces
Your model thinks. Hebby remembers.
AI models learn at breathtaking speed. What's missing today, the next update may handle on its own. Rebuild it yourself and you pay twice.
Hebby keeps taking on only what your model can't do itself: your knowledge, your decisions, your experience. Everything else it leaves to the model.
- No straitjacket. No rules for what your model already does best. Why that matters
- Grows with you. Every new model gets more out of Hebby.
- Keeps improving. Hebby consolidates continuously, like the brain during sleep: sharper hits, fewer tokens.
Sound familiar?
Every session starts from zero. Until now.
Why Hebby
Memory. Rethought.
- Hebbian learning
- Anticipation
- Consolidation
- Graph Memory
≈ 5 %Average token overhead.
Measured across 144,000 API calls.
Example: a request where Hebby warns about a known trap
61 % cheaper. With a single avoided mistake.
Early Access
Don’t worry, be Hebby.
An agent that remembers. Hebby is now rolling out to our first users. Tell us briefly what you work with.
