Token Saver Meta
"Token Saving for the Masses"
A meta-package that bundles token-saving tools across ALL layers of LLM token consumption — with zero configuration.
Why Token Saver Meta?
AI coding agents spend 40–60% of their token budget reading files and processing verbose output — not solving problems. Token Saver Meta installs a full stack of tools that slash consumption at every layer: agent behavior, code exploration, shell output, and tool schemas. No config. One install. All platforms.
Architecture
Hybrid across 4 layers:
graph TB
subgraph LAYER4["Layer 4 — Power Tools • One-click enable"]
L4["Schema compression · Cross-session memory<br/>Prompt optimization · Skill tuning<br/><b>~62% savings on tool schemas</b>"]
end
subgraph LAYER3["Layer 3 — Output Compression • Auto-install"]
L3["Shell filtering · CLI optimization<br/><b>~70% savings on shell output</b>"]
end
subgraph LAYER2["Layer 2 — Code Intelligence • Auto-install"]
L2["Code graph queries · Context mapping<br/>Repo packing<br/><b>~85% savings on file exploration</b>"]
end
subgraph LAYER1["Layer 1 — Agent Behavior • Instant, zero config"]
L1["Prose terseness · Code minimalism<br/>Operational efficiency · Structured output<br/><b>~40% savings on agent output</b>"]
end
L1 --> L2 --> L3 --> L4
style LAYER1 fill:#1a1a2e,stroke:#0f3460,color:#e0e0e0
style LAYER2 fill:#16213e,stroke:#0f3460,color:#e0e0e0
style LAYER3 fill:#0f3460,stroke:#533483,color:#e0e0e0
style LAYER4 fill:#533483,stroke:#0f3460,color:#e0e0e0
style L1 fill:#1a1a2e,stroke:#0f3460,color:#e0e0e0
style L2 fill:#16213e,stroke:#0f3460,color:#e0e0e0
style L3 fill:#0f3460,stroke:#533483,color:#e0e0e0
style L4 fill:#533483,stroke:#0f3460,color:#e0e0e0
| Layer | Capabilities | Install |
|---|---|---|
| Agent Behavior | Prose terseness, code minimalism, operational efficiency, structured output | Instant, zero config |
| Code Intelligence | Smart navigation, context mapping, repo packing | Auto-install |
| Output Compression | Shell filtering, CLI optimization | Auto-install |
| Power Tools | Schema compression, cross-session memory, prompt optimization, skill tuning | One-click enable |
Covers all 7 token consumption types: exploration, shell output, agent output, prompt input, repeated knowledge, tool schemas, and instructions.
Quick Start
# npm
npx token-saver-meta
# Python
uvx token-saver-meta
# curl (single command, no package manager needed)
curl -fsSL https://raw.githubusercontent.com/Im-Busy/token-saver-meta/main/install.sh | sh
Full architecture: docs/architecture-v2.md
Multi-Platform Support
Supports 18 AI coding platforms out of the box:
Kilo · Claude Code · Codex · Cursor · Cline · Roo Code · Continue.dev · OpenCode · GitHub Copilot · Windsurf · Augment · FactoryAI · Gemini · Hermes · Kiro · Mastra · Pi
License
Apache-2.0
Metadata
Release files for token-saver-meta 0.1.2
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
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| token_saver_meta-0.1.2.tar.gz | 5.1 MB | Without provenance | Details for token_saver_meta-0.1.2.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| token_saver_meta-0.1.2-py3-none-any.whl | Python 3 | none | any | Details for token_saver_meta-0.1.2-py3-none-any.whl |
Total release size: 5.3 MB
Release files / token_saver_meta-0.1.2.tar.gz
| Download URL | token_saver_meta-0.1.2.tar.gz |
|---|---|
| Size | 5.1 MB |
| Tags | Source |
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Release files / token_saver_meta-0.1.2-py3-none-any.whl
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| Tags | Python 3 |
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