Doorman11991/smallcode

Health v2 · maintenance only

Flags: young

Adoption not part of the score

2017 stars · 153 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

SmallCode is a terminal-native AI coding agent optimized for small local LLMs (8B-35B parameters) running on consumer hardware. It compensates for small-model limitations with budget-managed context, forgiving tool-call parsing, TODO-file step decomposition, and search-and-replace patch editing, all fully local with no network required.

Use cases

• run an AI coding agent with a local 8B model on my laptop
• code assistant that works offline without cloud API calls
• coding agent for small LLMs like Ollama or llama.cpp models
• terminal AI pair programmer for consumer hardware
• agent that handles unreliable tool calling from small models
• private coding assistant with no data leaving my machine

When to choose

• you run local models in the 8B-35B range on consumer hardware
• privacy matters and you want zero cloud API calls
• frontier-model agents like OpenCode waste context or fail on your model's tool calls
• you want a terminal-native workflow with prebuilt binaries for any OS

When to avoid

• you use frontier models (Claude, GPT-5) which don't need these adaptations
• your model is 4B or smaller and struggles with multi-step tool use
• you need a GUI or IDE-integrated experience

Facets

cli-tool · maturity active

agent-framework llm-inference cli developer-tools mcp developer-tools large-language-models self-hosted cli windows cross-platform coding-agent local-llm small-models terminal-ui privacy-first ollama llama-cpp lm-studio ai-agents command-line nodejs linux macos

Member repositories

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