wilbeibi/catchup — Local-first CLI for coding-agent context handoff.

Description and use

Here's a brief summary of the wilbeibi/catchup project:

**Summary:** wilbeibi/catchup is an open-source, local-first CLI tool that enables seamless context handoff between various AI coding agents, such as Claude Code, Codex, and others, allowing developers to prototype AI features and build workflows with ease.

**Value:** The project adds value by providing a convenient way to transfer and resume sessions across multiple AI agents, enabling developers to leverage AI capabilities without starting from scratch. This can be particularly useful for evaluating model tooling, building RAG or agent workflows, and prototyping AI features.

**Practical Adoption Path:** To adopt wilbeibi/catchup, developers can start by evaluating its straightforward integration signals, such as API/SDK/CLI, language metadata, or focused topics. They can then use the tool to prototype AI features, build workflows, and evaluate model tooling. However, it's essential to perform dependency and maintenance checks before considering production use.

**Production Readiness:** wilbeibi/catchup is considered medium-production ready, making it suitable for prototypes or internal workflows. While it has some quality signals, such as 56 GitHub stars and regular updates, further review is needed for the license, security posture, and active maintainers to

Problem

wilbeibi/catchup helps add AI capability without starting from a blank model stack.

Outcome

Medium: useful for prototypes or internal workflows, with dependency and maintenance checks before production.

Workflow

• prototype AI features
• build RAG or agent workflows
• evaluate model tooling

Evidence

Local-first CLI for coding-agent context handoff. Transfer and resume sessions across Claude Code, Codex, Cursor, Cline, Kimi, Antigravity, OpenCode, and Pi Agent.

Source