rasbt/mini-coding-agent resource

Health v2 · maintenance only

Flags: no_releases young

Adoption not part of the score

1126 stars · 203 forks observed · 2026-08-28

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

A minimal, readable Python implementation of a coding agent harness that demonstrates the six core components of coding agents (repo context, prompt stability, structured tools, context management, memory, and delegation). It accompanies Sebastian Raschka's tutorial 'Components of a Coding Agent' and runs locally via Ollama with no dependencies beyond the standard library.

Use cases

• learn how coding agents like Claude Code work internally
• understand agent harness components like tool use and memory
• build my own coding agent from scratch
• study a minimal agent loop implementation in Python
• run a local coding agent with Ollama
• teach LLM agent architecture concepts
• see how prompt caching and context management work in agents

When to choose

• you want to learn the internals of coding agents from a small readable codebase
• you prefer a dependency-free Python implementation running on local Ollama models
• you need teaching material or a reference for agent harness design
• you want a starting point to experiment with agent components like approvals, transcripts, and subagents

When to avoid

• you need a production-grade coding assistant comparable to Claude Code or Codex CLI
• you require cloud LLM provider support beyond Ollama
• you want a feature-rich agent with extensive tooling and integrations
• you need multi-user or team deployment

Facets

learning-resource · maturity active

agent-framework cli llm-inference developer-tools large-language-models developer-tools tutorials python cli windows coding-agent agent-harness ollama educational minimal-implementation tool-use prompt-caching subagents ai-agents command-line linux macos

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markdown · JSON · MCP: product_card(name="rasbt/mini-coding-agent")