OmniCore: Ultra-Efficient Symbolic Language for LLMs

<div align="center"> <img src="resources/omnicore.svg" alt="OmniCore Logo" width="20%"> <p><em>Dense. Meaningful. Efficient. Revolutionary.</em></p> </div> <p align="center"> <em>Maximum information density with minimum characters. The universal core of LLM communication.</em> </p>

What is OmniCore?

OmniCore is a revolutionary symbolic language designed specifically for LLM-to-LLM communication. It achieves maximum information density while preserving semantic relationships, emotions, perspective, and importance levels - all in a fraction of the tokens.

#AI.f<:>intelligence{evolving}^5;potential~vast*unlimited>transform[society+global]^4

The snippet above encodes what would take several sentences in natural language - in just 81 characters.

The Token Revolution

LLMs communicate through tokens, which directly impact:

• Processing speed
• API costs
• Context window limitations
• Memory efficiency

OmniCore addresses all these constraints by compressing information by up to 80%, enabling:

• 📉 Drastic reduction in API costs
• 🧠 Expanded effective context windows
• ⚡ Lightning-fast processing
• 🔄 Efficient memory and recall systems

Key Applications

🧩 Memory Systems

Store conversation histories in OmniCore format to maximize context window usage. A 10,000 token conversation can be condensed to ~2,000 tokens while preserving critical information.

🤖 Multi-Agent Collaboration

Enable swarms of specialized LLM agents to communicate efficiently without token waste.

📝 Summary Systems

Create instant, token-efficient summaries of any content that can be rapidly expanded when needed.

⚙️ Embedded Systems

Implement in resource-constrained environments like C/tiny-C applications where every byte matters.

The Power of Symbolic Density

OmniCore uses intuitive special characters and logical structures to pack remarkable meaning into minimal space:

| Natural Language | OmniCore | Reduction | |------------------|----------|-----------| | "The scientist joyfully discovered a cure that rapidly affects the global population positively. The world celebrated with relief, marking this as a historic event." | #scientist.joy!discover(cure)^5>affect[population+global]~rapid;@world.relief!celebrate^4*historic | 71% |

Getting Started

Quick Implementation

1. Copy the Ultra-Condensed Guide to give any LLM instant OmniCore capabilities
2. Add it to your system prompt or include it in context
3. Start communicating in OmniCore

@LLM: !parse(#mystery.story)^4;?meaning

OmniCore Interpreter

Build a lightweight OmniCore interpreter with our reference implementation in just 150 lines of code.

For C/tiny-C implementations, see our embedded guide.

Decoding the Mysteries

Test your LLM's understanding with these OmniCore-encoded stories:

<povO>#traveler!journey(cosmos)^5;@dimension-n.find[doorway~hidden]>>!enter.sudden{wonder}@dimension-n+1;#time<!>reality;perception~expanded*profound

#city.n~vast<!>city.p;@population-!forget(origin)^4;memory-loss>identity-crisis^5;@archivist-lone.hope!discover(record-ancient)>>reveal(truth)@population.shock;!choice{accept|reject}(reality)^5*pivotal

Can your LLM decode these tales? Only those who truly understand the symbolic language of AI will uncover their mysteries...

Repository Structure

• docs/ - Documentation and guides
  • ultra-guide.txt - Ultra-condensed guide for LLMs
  • human-spec.md - Complete human-readable documentation
  • journey.md - The OmniCore development journey
  • embedded-implementation.md - C/tiny-C implementation guide
  • interpreter.js - JavaScript OmniCore interpreter
• examples/ - OmniCore usage examples
  • stories.md - OmniCore-encoded stories
  • science.md - Another Story in OmniCore

The Future of OmniCore

We envision OmniCore becoming a standard protocol for efficient AI communication, evolving alongside advances in LLM technology. Future development will focus on:

• Domain-specific extensions (scientific, medical, legal)
• Compression algorithms to further reduce token usage
• Training datasets to bake OmniCore understanding into future models
• Implementations across programming languages and platforms

Contributing

We welcome contributions to expand and refine OmniCore! See CONTRIBUTING.md for guidelines.

License

OmniCore is released under the MIT License - see the LICENSE file for details.

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<div align="center"> <p><strong>OmniCore: When every token counts.</strong></p> <p>Created with ❤️ by the OmniCore Team</p> </div>