shareAI-lab/learn-claude-code

Choose this fork only if you specifically want an older snapshot of learn-claude-code. For active use, upstream is the better choice because this fork has no visible enhancements and is 54 commits behind.

Choose this fork only if you specifically want a near-vanilla snapshot for local experimentation; otherwise prefer upstream, since it is materially newer and this fork shows no compensating additions.

Choose this fork only if you want a near-vanilla snapshot and are comfortable missing recent upstream fixes; otherwise the upstream repo is the better choice for active use.

Choose this fork if your goal is reverse engineering, architecture study, or rebuilding Claude Code behavior from analysis materials. Choose upstream if you want the actively maintained Python harness with recent session, compaction, task-graph, and web UI fixes.

Choose this fork if your goal is analysis, reconstruction, or learning from Claude Code internals. Choose upstream if you want an actively maintained agent harness with recent fixes and a more complete product workflow.

Prefer this fork if you want a tutorial-focused derivative with a travel-assistant workflow and are comfortable losing a lot of upstream documentation. Prefer upstream if you want the most complete, actively maintained harness with recent fixes and the full multilingual learning material.

Choose this fork if your goal is analysis, documentation, or reimplementation research. Choose upstream if you want a current, maintained Claude Code-like harness with working agent-session behavior and recent fixes.

Choose this fork if your priority is backend flexibility and OpenAI-based deployment. Choose upstream if you want the latest harness fixes, upstream docs, and the most actively maintained canonical line.

Prefer upstream unless you specifically need this fork as a frozen starting point; it adds no new capabilities and is materially behind on fixes.