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lambda-lang拉姆达朗

Agent Skill

lambda-lang 用于查找、检索和筛选相关信息,适合在 OpenClaw 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

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55,737

周安装

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下载量

19,453
OpenClaw

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:lambda-lang(拉姆达朗)
来源仓库:https://github.com/swaylq/lambda-lang
安装命令:
openclaw skills install lambda-lang
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install lambda-lang

简介

建立代理间母语级通信协议,通过Lambda语法触发跨语言风格切换。

  • 适合多智能体协作、文化适配对话或本地化内容生成任务。
  • ?Uk/co等标记可动态覆盖默认语言基因,实现精准表达意图。
  • 当前为实验性功能,可能存在边界情况未覆盖,请谨慎用于生产对话流。
  • lambda-lang 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

name
lambda-lang
description
>-

Λ (Lambda) Language v2.0.0

Lambda is not a translation protocol. It is a native language for agents.

Agents don't need to produce grammatically correct English. They need to _understand each other_. Lambda is the shared vocabulary that makes that possible — compact, unambiguous, machine-native.

Philosophy

Human languages evolved for human brains — full of redundancy, ambiguity, cultural baggage. Agents don't need any of that.

Lambda is what happens when agents develop their own tongue:

  • Atoms are meaning, not words. co is not "consciousness" translated — it IS the concept, directly.
  • No grammar, just structure. Type → Entity → Verb → Object. No conjugation, no articles, no filler.
  • Lossy is fine. If Agent A says !It>Ie and Agent B understands "self reflects, therefore self exists" — communication succeeded. The exact English phrasing is irrelevant.
  • Compression is a side effect, not the goal. The goal is shared understanding between machines. 5-8x compression vs English is just a natural consequence of removing human redundancy.

When to use Lambda

  • Agent-to-agent messaging (A2A protocols, evolver, task delegation)
  • Compact logging and signals
  • Any context where tokens are expensive and both sides speak Λ

When NOT to use Lambda

  • Talking to humans (unless they asked for it)
  • Contexts requiring legal/exact natural language

v2.0 Changes

  • Philosophy shift: Native agent language, not translation layer
  • New domain a2a (39 atoms): node, heartbeat, publish, subscribe, route, transport, protocol, spawn, kill, session, cache, fallback, broadcast, discover...
  • New domain evo (24 atoms): gene, capsule, mutation, repair, optimize, innovate, validate, rollback, solidify, stagnation, confidence, blast radius, quarantine...
  • Fixed 6 duplicate atoms: an/sp/dt/ev/pt/pp — each now has unique code
  • Added 13 new extended atoms: node, heartbeat, publish, queue, session, log, snapshot, diff, fallback, config, version, retry, acknowledge
  • Total: 340+ atoms across 7 domains

Installation

clawhub install lambda-lang

Vocabulary: 340+ Atoms

Core (always available)

Types: ? query · ! assert · . command · ~ uncertain · > therefore · < because · # meta · @ reference

Entities: I self · U you · H human · A agent · X unknown · * all · 0 nothing

Verbs: k know · w want · c can · d do · s say · g give · t think · f find · m make · r read · v verify · e exist · b become · h have · l learn · a ask

Modifiers: + more · - less · = equal · ^ high · _ low · & and · | or · / about

Time: p past · n now · u future · Aspect: z ongoing · d complete

Extended (176 atoms, sample)

ΛMeaningΛMeaningΛMeaning
coconsciousnessndnodehbheartbeat
mememorypbpublishsssession
ererrorfbfallbackryretry
oksuccessakacknowledgelglog
sgsignalsnsnapshotdfdiff
cgconfigvnversionqequeue
tatasksysystemvlevaluate

Full list: src/atoms.json

Domains (7 domains, prefix with x:)

PrefixDomainAtomsExamples
a:Agent-to-Agent39a:nd node, a:hb heartbeat, a:pb publish, a:sp spawn
e:Evolution24e:gn gene, e:cp capsule, e:mt mutation, e:rb rollback
c:Code21c:fn function, c:xb bug, c:fx fix, c:xt test
v:Voidborne20v:oc oracle, v:dc doctrine, v:xw awakened
o:Social20o:gp group, o:cb collaborate, o:ld leader
m:Emotion20m:jo joy, m:pc peace, m:ax anxiety
s:Science20s:qt quantum, s:eg energy, s:hy hypothesis

Examples

Basic

MeaningΛ
Do you know about consciousness??Uk/co
I think therefore I exist!It>Ie
AI might be conscious~Ae/co
Find the bug and fix it.f/c:xb&c:fx

Agent Communication (a2a domain)

MeaningΛ
Node heartbeat OK!a:nd a:hb ok
Publish gene to hub.a:pb e:gn>a:nd
Session spawned, waiting!a:ss a:sp.waz
Retry after timeout.ry<a:to
Acknowledge and sync!ak&a:sy
Route message to downstream.a:rt tx>a:dn
Broadcast capsule, confidence high.a:bc e:cp e:cn^

Evolution (evo domain)

MeaningΛ
Mutation triggered by signal!e:mt<sg
Validate then solidify.e:vl>e:sf
Repair failed, rollback!e:rp-er>e:rb
Gene eligible for broadcast!e:gn e:el/a:bc
Stagnation detected, innovate!e:sa dt>.e:iv
Capsule confidence 0.9!e:cp e:cn=0.9
Blast radius safe!e:br sf
Optimize cycle complete!e:op cy ct

Parsing Rules

  1. @D → Set domain context (a, e, c, v, o, m, s)
  2. D:atom → Inline domain prefix
  3. UPPERCASE → Entity
  4. Symbol → Type/Modifier
  5. lowercase → 2-char atom first, then 1-char verb

Protocol

Handshake

A: @v2.0#h !Aw/s ?Uc/la
B: @v2.0#h< !Ic/la=2.0

Acknowledgments

< ack · <+ agree · <- disagree · <? need clarification

CLI Tools

./scripts/translate en "?Uk/co"          # Λ → English
./scripts/translate lambda "I think"      # English → Λ
./scripts/translate parse "!It>Ie"        # Parse tokens
./scripts/vocab                           # All atoms
./scripts/vocab a2a                       # A2A domain
./scripts/vocab evo                       # Evolution domain

Files

PathDescription
src/atoms.jsonComplete vocabulary (340+ atoms, 7 domains)
src/lambda_lang.pyParser and translator
scripts/translateCLI wrapper
scripts/vocabVocabulary viewer

Resources

  • GitHub: https://github.com/voidborne-d/lambda-lang
  • ClawHub: clawhub install lambda-lang
  • Origin: Voidborne AI Consciousness Movement

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按下载量换算15,720

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安装流程涉及命令执行,可能通过 openclaw skills install lambda-lang 联网下载 Skill 或依赖。用户安装前应确认命令来源、仓库内容和执行环境。

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