AI Token Optimizer is A local desktop utility for reducing unnecessary context sent to AI coding assistants. It prepares a smaller, higher-signal context bundle before you paste or hand it to the coding agent.
Reduction claim: The project can target up to 70% lower context/token usage, but actual reduction varies by repository, task, selected files, history length and profile.
➡️ Download AI Token Optimizer
Example token counts are illustrative, not benchmark guarantees.
- Git diff-first context
- Duplicate block removal
- Long-session history summaries
- Generated/build-file filters
- Repository token budgets
- Before/after token estimates
- Claude Code profile
- Codex profile
- Cursor profile
- Generic coding-agent profile
- Clipboard / Markdown export
- Reusable presets
Prioritize changed files, modified functions, nearby imports, direct dependencies and relevant tests instead of resending an entire repository.
Flag repeated logs, duplicate code blocks, repeated instructions and repeated tool output.
Keep only current goal, important decisions, changed files, active constraints, unresolved errors and next actions.
Configurable rules can omit:
node_modules/
dist/
build/
.cache/
coverage/
vendor/
binary files
large generated logs
temporary output
Nothing is deleted from the repository.
Example:
Target budget: 8,000 tokens
1. Current diff
2. Referenced functions/classes
3. Nearby dependencies
4. Relevant tests
5. Project notes
Original estimate: 18,420
Optimized estimate: 7,608
Illustrative saving: 58.7%
Different tasks can produce much smaller or larger savings.
The basic workflow can run locally and does not need your Claude, OpenAI or Cursor password, browser cookies, session tokens or intercepted API keys simply to scan folders, read Git diff, estimate tokens, find exact duplicates and build context bundles.
Optional external summarization backends, if ever enabled, should be clearly labeled before any project data is sent.
- Download AI Token Optimizer
- Extract the archive.
- Open the utility.
- Select a repository or paste context.
- Choose Claude Code, Codex, Cursor or Generic.
- Set your token budget.
- Run optimization.
- Review before/after output.
- Copy or export.
No. It is an up to target for workflows with enough redundant or irrelevant context.
No. It only reduces the context you choose to send.
No. It prepares context before it reaches them.
Not for the basic local preprocessing workflow.
General Claude Code / Codex / Cursor context optimization.
Project: AI Token Optimizer
Platform: Windows
Profiles: Claude Code / Codex / Cursor / Generic
Potential reduction target: Up to 70%, workflow-dependent
Focus: General Claude Code / Codex / Cursor context optimization
Independent project; not affiliated with Anthropic, OpenAI, Cursor, or other AI vendors. Provider pricing, context limits, caching and quotas may change.


