Noise piles up
Tool output, file dumps and retries crowd the context window. The parts that matter get buried.
Context engineering for AI agents
Long AI sessions fill up with noise. Pithly remembers what matters across sessions and gives your model only the context it needs. Sharper answers, a smaller bill.
The problem
Tool output, file dumps and retries crowd the context window. The parts that matter get buried.
What you agreed an hour ago, or yesterday, falls out of the window. The agent asks again or guesses.
Each turn sends the whole history again. Bigger context means a bigger bill, not a better answer.
How it works
After each turn, Pithly keeps the facts, decisions and code references worth keeping, in a memory that belongs to your project.
When you ask something, it searches that memory by meaning and by exact names, including function and file names, then picks the few notes that answer it.
Your model gets a short, focused brief instead of the whole history. Less to read, less to pay for, less to get wrong.
Products
For developers
A plug-in that works quietly inside Claude Code. Every session starts with the right context from earlier work, so long coding tasks stay on track.
For builders · preview
Give your own agents and AI apps long-term memory. Separate, walled memory for every app and every user.
Principles
We never cut a token that changes the answer. Savings come second to getting it right.
Memory is kept apart per project, per app and per user. Nothing is shared between them.
Every change is tested on real long-session benchmarks before it ships.
Early access
Pithly is in private beta with a small group of developers. Tell us what you build and we'll get you in.
hello@pithly.dev