Switching AI coding tools? Keep the conversation with a local handoff

Hi! Switching between AI coding tools is useful until you have to explain the same task all over again.

The next agent needs more than the original prompt. It needs to know what you tried, what failed, which files matter and which decisions you already made.

I built ChatVault, a free, open source Windows app, to make local coding conversations easier to find, back up and carry between tools. Here is the workflow I wanted.

When you switch tools in the middle of a task, reconstructing everything from memory is slow. The old conversation may contain the exact error, a constraint you forgot about or a failed fix that the next agent would otherwise repeat.

ChatVault brings local conversations from Claude Code, Codex, Cursor, Gemini CLI, OpenCode and Cline into one reader. Search is useful when you remember the bug but not the tool or account where you discussed it.

A useful handoff answers a few practical questions:

The transcript is supporting evidence for these answers. It lets you revisit details rather than treating the latest summary as the whole story.

ChatVault lets you read the original discussion and export it as Markdown, HTML, plain text or JSON. That makes it useful for both a new agent session and your own project notes.

The handoff feature prepares a conversation for continuation in another supported coding tool. For example, you can investigate a problem in Claude Code, then bring that discussion into Codex for another attempt.

This transfers context as a file. It does not move a model's internal state or guarantee that the next agent will make the same decisions. Different tools also have different context limits, so a long transcript may need a focused brief.

My preferred pattern is to keep the transcript available and give the next agent a short next-step instruction:

Review the previous investigation, verify the suspected cause against the current code, and propose the smallest fix. Check the tests before editing.

That makes the handoff something the next agent can evaluate rather than an instruction to trust every previous conclusion.

Conversation history and the current working tree are different things. Before another tool edits files, check that it is in the intended project and understands which changes already exist.

If you run agents concurrently, decide how their edits will stay separate. A chat handoff alone does not isolate file changes. Good conversational context cannot compensate for working in the wrong folder or an outdated checkout.

Local chat files can disappear if they are deleted or a machine is replaced. ChatVault includes local backup features so you can preserve a separate copy of conversations that matter.

It works with the files that remain available on your computer. It cannot recover a transcript that has already been deleted or turn a partial record into a complete one.

I also like exporting important conversations into project documentation. An explanation of a subtle bug can be worth keeping after the task is finished.

ChatVault reads local chat files and does not upload your conversations. It needs no ChatVault account. The project documentation describes GitHub requests for application updates.

When you deliberately hand an export to another tool or person, check the contents first. A transcript may include credentials, private project details or unrelated messages. Keeping an archive local and choosing what to share are separate parts of the workflow.

ChatVault runs on 64-bit Windows 10 and Windows 11. The releases page offers a normal installer, an MSI and a portable executable.

The source is available under the MIT license. The app uses Tauri, Rust, SQLite, React and TypeScript. It is an independent project, not an official product from any of the supported tool makers.

How do you move context between coding tools? Do you keep a short handoff note, export the whole chat or start fresh?

Source and downloads on GitHub. Feedback, issues and contributions are welcome 🙂