AgentsView is a native Mac app that gives you a searchable, structured archive of every AI-assisted coding session you have run, turning an otherwise ephemeral stream of prompts and diffs into a permanent, queryable knowledge base.
What is AgentsView?
AgentsView is a session-history explorer for AI coding assistants on macOS. Instead of hunting through terminal scrollback or scattered log files to remember what you asked Claude or Copilot to do three weeks ago, AgentsView captures each session, indexes it locally, and lets you browse, search, and dig into past interactions from a clean native interface.
Think of it as the reading-history sidebar your AI coding tools never shipped. The app sits quietly in the background while you work, then becomes indispensable the moment you find yourself asking "wait, how did I solve that the last time?"
What does AgentsView do best?
Its strongest suit is making your AI coding history legible — not just retrievable. Sessions are presented with enough structural context (timestamps, file paths, model used, approximate token counts) that you can reconstruct what you were trying to accomplish rather than staring at a wall of raw text.
- Full-text search across every past session — find a specific refactor, a debugging exchange, or a tricky architectural discussion without knowing the exact date.
- Session analytics — get a sense of your own AI usage patterns: which tools you lean on most, how session lengths trend over time, and which projects generate the most back-and-forth.
- Per-session timeline view — step through a session turn by turn, which is far more useful than grepping a flat log when you want to understand a decision in its original context.
- Local-first storage — your session data stays on your Mac, not a third-party cloud. For anyone working under an NDA or on proprietary codebases, that matters enormously.
Is AgentsView free?
AgentsView is free to download and use. Check the official site at agentsview.io for any premium tier details or upcoming paid features, as the app is actively maintained and pricing may evolve. At the time of writing, the core session-browsing functionality is available at no cost.
Who should use AgentsView?
If you run a single weekend project with one AI coding session per month, AgentsView may feel like overkill. But if you spend several hours a day pairing with Claude, GitHub Copilot, or similar tools, the cognitive overhead of managing that history compounds fast — AgentsView is built precisely for that workload.
It is particularly valuable for solo developers who use AI heavily and have no team wiki or shared context to fall back on, and for consultants who juggle multiple client codebases and need to keep project contexts cleanly separated. The analytics side will also appeal to anyone who is genuinely curious about how they are spending their AI budget and whether those sessions are translating into shipped features.
What are the best AgentsView alternatives?
There is no direct like-for-like competitor yet — most developers manage AI session history with ad-hoc approaches: exporting JSON from the Claude web UI, copying chat transcripts into Obsidian, or leaning on Claude Code's own transcript files. Raycast has a few AI history extensions, and some users repurpose Recall (the Windows AI memory feature) or Arc's search, but none of these are purpose-built for coding sessions the way AgentsView is. The closest conceptual sibling is a local Pieces.app session, though Pieces focuses more on snippet capture than session narrative. AgentsView's differentiation is the structured, chronological session model rather than a clip board of fragments.
How does AgentsView compare to digging through raw log files?
The honest comparison is between structured retrieval and forensic archaeology. Claude Code, for example, writes detailed JSONL transcripts to ~/.claude/projects/ that contain every exchange — but parsing them manually is painful and searching across dozens of project folders is tedious. AgentsView abstracts that away: it reads those artifacts, normalises them, and surfaces a consistent UI regardless of which underlying tool generated the session. The time savings compound quickly for anyone doing this research more than a few times a week.
