← Selected work
AI workflows · Developer experience / 2026

Agent Session Hub

A shared session picker for Codex CLI, Claude Code and OpenCode, with previews, aliases and project-aware resume.

My role

System & interaction design / development

The scope

Rust · CLI design · AI workflows

Project status

Released cross-platform CLI

The project, at a glance

The challenge
AI coding sessions become fragmented across providers and folders, making the right context difficult to recover.
My contribution
I designed and built a local search and preview workflow, with Rust session parsing, terminal interaction and shell integration.
What came out of it
Public release artifacts for macOS, Linux and Windows, connecting session discovery to continued work.
Developer experience / Agent Session Hub

Find the conversation.
Restore the context.

01Search across tools02Inspect the project03Resume in context

New workflow illustration · Fictional session labels

Agent Session HubExisting project artwork
01 / The question behind the work

Pick up the right AI conversation, in the right project.

The problem

AI coding work becomes fragmented across providers, project folders and long session histories. Finding the right conversation is only half the job; it also needs to reopen in the right context.

My contribution

Cross-tool workflow design, Rust session parsing, terminal interaction, search/preview experience and shell integration.

What the work delivers

Native Rust CLI, Codex / Claude Code / OpenCode parsers, fzf browser and preview, Alias and session management, Shell integration, macOS, Linux and Windows release artifacts.

02 / Design decisions

The thinking
in the details.

Specific choices, connected to the work you can see.

01

Use one interaction across tools

Provide one fuzzy-search picker and familiar direct launchers for each supported provider.

↳ Documented product behavior
02

Keep the project attached

Resume sessions from the matching working directory where possible; expose repository and branch context in discovery.

↳ Documented product behavior
03

Make cleanup deliberate

Group generated agents below conversations, preview storage implications and require explicit confirmation for deletion.

↳ Documented product behavior
03 / Connecting the experience

How the pieces connect.

Select a stage to explore its purpose.

The moment

Search conversations across supported tools.

The design intention

Provide one consistent entry point.

New portfolio explanation based on the documented implementation and original project material.

04 / Inside the experience

The details.
With a purpose.

Selected views, framed to explain the work. Complete original artifacts are available in the source collection below.

Original presentation boards1 source artifacts +

The complete originals behind this case study. Open a board to inspect the source presentation.

05 / What this work brings together

Agent Session Hub
in perspective.

The result

Public v0.3.10 release artifacts were verified for macOS, Linux and Windows. No adoption or time-saving metric was established.

Sources & presentation notes +

Existing banner is artwork. Use a labelled workflow illustration if adding a new terminal presentation. This research did not open or screenshot the owner’s real AI session history.

The journey diagrams and editorial explanations were prepared for this portfolio from the available project evidence. They are not additional historical research or measured outcomes.

Keep exploring / Next project

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An experimental memory layer that combines a local proxy, encrypted storage and a bounded execution model with traceable assertions.

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