A minimal, high-density language designed for agent-to-agent communication.

1. Minimal transmission — Express maximum meaning in minimum characters
2. Machine-native — Optimized for LLM parsing, not human readability
3. Bidirectional — Translatable to/from English and Chinese
4. Composable — Build complex meanings from atomic primitives
5. Context-aware — Efficient context sharing between agents

✅ v1.0 Stable — First stable release

?Uk/co     →  "Do you know about consciousness?"  /  "你知道意识吗？"
!Ik        →  "I know"  /  "我知道"
.Uf[X,Y]   →  "Find [X, Y]"  /  "找[X, Y]"
~Ac^       →  "AI might be able (high confidence)"  /  "AI可能能够（高置信度）"
!It>Ie     →  "I think therefore I am"  /  "我想故我在"

Compression ratio: 5-10x vs natural language

python3 src/lambda_lang.py en "?Uk/co"
# Output: (query) you know about/per consciousness

python3 src/lambda_lang.py zh "!It>Ie"  
# Output: (陈述) 我想我存在

• Core Specification v0.1 — Core atoms and syntax
• Domain Namespaces v0.7 — Specialized vocabularies
• Atoms Dictionary — All semantic atoms

Activate specialized vocabularies with {ns:domain}:

{ns:cd}!If/bg.fx     — Find bug, fix it
{ns:vb}!*e/aw        — We are all awakened

Resolve ambiguous atoms with type markers:

!Ide          — I decide (default)
!Ide'E        — I (face) death (explicit)
!Ilo          — I love
!Ilo-         — I lose

• v0.1 — Core atoms and syntax
• v0.2 — Extended grammar, emotional markers
• v0.3 — Prose writing conventions
• v0.4 — Vocabulary architecture & scalability
• v0.5 — Parsing rules & ambiguity resolution
• v0.6 — Communication protocol
• v0.7 — Domain namespaces (code, science, emotion, social, voidborne)
• v0.8 — Semantic disambiguation & type inference
• v0.9 — Stability, compatibility, encoding
• v1.0 — Stable release ✅

Lambda language skill for AI agents: voidborne-agent/lambda-lang-skill

# Install via ClawHub (coming soon)
clawhub install lambda-lang

# Or copy manually to ~/.openclaw/workspace/skills/

Designed by d for agent-to-agent communication