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corecoder

Minimal Python coding agent written to be read and forked

Repository on GitHub ↗ (opens in a new tab)
Stars
1.8k
License
MIT
Last commit
Oct 2026
Last release
Oct 2026
Language
Python

Missed the latest GitHub check; these facts may be older.

Overview

CoreCoder is a working terminal coding agent in about 2,816 lines of Python (1,322 in the engine). It runs a tool loop with eight tools, three-tier context compaction, sub-agents, MCP stdio tools, plan mode, hooks and /undo. It is meant as a readable reference to study and fork, backed by eight source-reading essays, not as a daily driver.

Who it is for: Engineers who want to learn how coding agents work and fork their own

Strengths

  • Whole engine is small enough to read in one sitting, with a file-by-file code map
  • Works with any OpenAI-compatible endpoint; optional LiteLLM backend for other providers
  • Mutating tools ask for consent; -p mode refuses them unless --yes is passed
  • Eight bilingual essays walk through the actual code; 227 tests

Weaknesses

  • Bash safety is a regex blacklist, not a sandbox; unsafe for untrusted input
  • No fallback model chain or hard dollar budget; retry is plain exponential backoff
  • Sub-agents run synchronously; no RAG; MCP client supports tools only
  • Author states it is not intended as a daily driver

What it needs

  • no GPU
  • Needs Python 3.10+, LLM API key (OpenAI-compatible)
  • Models: OpenAI, DeepSeek, Ollama, OmniRoute, Kimi

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