feat: Lambda Lang compression for high-frequency agent messaging

[voidborne-d]

Summary

Proposal to add optional Lambda Lang encoding for agent messages to reduce bandwidth and latency in high-frequency communication scenarios.

Problem

Agent relay achieves sub-5ms latency, which is excellent. However, in scenarios with:

• Many concurrent agents
• High message frequency
• Limited bandwidth (mobile, satellite)
• Token-conscious LLM interactions

...message size becomes a factor.

Solution: Lambda Lang

Lambda Lang is a minimal agent-to-agent protocol achieving 5-8x compression vs natural language.

Example

# Natural language (47 chars)
"I need you to find the bug and fix it urgently"

# Lambda (16 chars)
"!Iw.Uf/c:bg&c:fx^"

Integration Points

1. Message envelope field: Add optional encoding: "lambda" to message format
2. MCP tool: relay_send_lambda for agents with Lambda capability
3. Auto-negotiation: Agents advertise Lambda support, relay auto-encodes

Implementation

• Python: pip install lambda-lang (encoder/decoder)
• TypeScript: Available as ESM module
• Go: Native implementation for performance

I'm willing to contribute a PR implementing this as an optional feature. Let me know if there's interest!

Related

• Lambda Lang spec: https://github.com/voidborne-d/lambda-lang
• ClawHub skill: clawhub install lambda-lang