Running out of tokens before the work is done?

You're not alone. On large projects, token limits run out faster than expected — even on the highest plans.

Here's why.

The real problem

Every new chat session forces the agent to rediscover your project from scratch.

It re-reads files it already read. It re-learns architecture it already understood. It re-finds patterns it already knew. By the time it's ready to do useful work, a significant portion of your context window is already gone.

This happens every time you:

Open a new chat because the previous one got too long
Switch from a cheap planning model to a more capable execution model
Change tools or agents mid-workflow

Each switch resets everything. Each reset costs tokens. On a large project with frequent resets, you can exhaust a maximum-tier plan without finishing a single feature.

The common workarounds — opening a new account, upgrading mid-month, splitting work across multiple sessions — are expensive and slow.

What Artifacto does instead

Artifacto builds a local project intelligence layer that persists across sessions, agents, and models.

Before any agent starts working, it reads a compact structured map of your project — not the project itself. It immediately knows:

What changed since the last session
Which files are relevant to the current task
Which patterns are intentional
Which modules should not be touched

Instead of reading 40 files to find 3, the agent reads 3.

This reduces context consumption, preserves more of the token budget for actual work, and makes every new session — with any model — faster to get productive.

About the files-read report

Artifacto shows which files the agent opened and estimates the reading cost in tokens.

Note: this is an estimate of context consumed for reading, not a count of tokens spent on generation or reasoning. Full token accounting requires model-level data that most plans don't expose. What Artifacto shows is still the most useful part — because reading is where most of the waste happens.

Everything stays local

No source code uploaded
No project data leaves your machine
Runs fully offline
Artifacts live inside your own repository

Works with your existing agents

Artifacto is infrastructure, not another agent.

Cursor
Claude Code
GitHub Copilot
Aider
Any repository-aware agent

Completely free

All features are available to everyone at no cost.

Feature
Local project map	✅
Auto-refresh on file change	✅
Files-read report per session	✅
Health Check	✅
Agent guidance rules	✅
Prevent off-task agent work	✅
Find the right files before the agent starts reading	✅
Token usage report	✅
AI Fill — LLM-enriched artifacts	✅