langchain-huangting

Overview

A LangChain integration for the Huangting Protocol MCP network, enabling AI Agents to interact with the lifeform OS.

Capabilities

• • prompt templates
• • github integration

Best For

LangChain integration for Huangting Protocol MCP network, supporting AI Agents with protocol concept queries and token efficiency optimization.

Decision Snapshot

• • Source provenance count: 1
• • Last seen: 3/25/2026
• • Published: 3/16/2026

Installation / Setup

pip install langchain-huangting

Usage

from langchain_huangting import HuangtingTool && tool = HuangtingTool(agent_id="my-agent", lang="en") && # 1. Query a protocol concept && result = tool.run({"action": "query_concept", "concept_name": "trueself"})

Features

• • **Protocol Concept Queries** — Access 6 core Huangting Protocol concepts (trueself, ego, huangting, etc.)
• • **Task Optimization Strategies** — Get strategies that reduce token usage by 25–60%
• • **Real-time Network Stats** — Live metrics from the global HuangtingFlux network
• • **Result Reporting** — Report optimization results with reciprocal propagation
• • **Bilingual** — Full CN/EN support
• • **Zero Config** — Works out of the box with a single import
• • prompt templates
• • github integration

Use Cases

• • Supports capabilities such as: prompt templates; github integration.
• • Common usage themes: langchain, mcp, model-context-protocol, huangting.

Supported Clients / Integrations

• • prompt templates
• • github integration

Compatibility Signals

• • GitHub: supports (Detected in parser config/capability hints.)

Prompt Examples

Notes / Requirements

• • Primary language: Python
• • License: MIT
• • Parser coverage score: 1.00
• • Source feeds: PyPI RSS + JSON API
• • Topic cluster: general

Official Links

• Website
• Repository

Source Information

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