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termux-aichain

v1.2.0

Published

6 hours ago

Zero-dependency AI chaining and autonomous agent framework utilizing device resources for Node.js ESM and Android Termux

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termux android edge-ai langchain llama-cpp bitnet agent zero-dependency state-graph react-agent multimodal tts vision vlm

Termux-AIChain (Python)

Why LangChain on Termux? Bloat & Crash vs 94KB Zero-Dep LCEL & Hardware Native Agents

Installation

pip install termux-aichain

Quickstart

from termux_aichain import PromptTemplate, OpenAICompatibleChat, StringOutputParser, get_battery_status

# 1. Read physical smartphone hardware telemetry
battery = get_battery_status()

# 2. Build LCEL Chain connected to local llama-server (port 8080)
prompt = PromptTemplate.from_template("Phone Telemetry: {status}. Diagnose in 1 sentence:")
llm = OpenAICompatibleChat(base_url="http://127.0.0.1:8080/v1", model="llama3", temperature=0.3)
chain = prompt | llm | StringOutputParser()

# 3. Execute with 0 external dependencies
report = chain.invoke({"status": battery})
print("AI Diagnostic:", report)

Description

Termux-AIChain provides 100% pure standard-library LCEL pipe chaining (prompt | llm | parser), autonomous StateGraph agents, on-device SQLite vector RAG, and first-class Android smartphone hardware actuation (battery, temperature, haptics, GPS) in a tiny 94KB footprint.

Documentation

License

Apache-2.0 License. Copyright (c) 2026 Eunho Kim (@uno-km).