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Agent Command Center
See which AI agents need you, then jump back in
A local macOS ledger for Claude Code and Codex sessions. See what is running, waiting, asking, or stuck; group work by project; and jump back to the original session. No LLM or external network. Apple Silicon only.
Hi Product Hunt, I’m Takeshi, the maker of Agent Command Center.
I built it because I use Claude Code and Codex in parallel. Starting another session is easy; remembering which session needs me, and where to return, is the part I kept losing.
ACC reads the local session records those tools already write and turns them into one ledger. I open Resume, see what is running, waiting for me, asking, or stuck, and use Jump to return to the original Claude Code, Claude Desktop, Codex Desktop, or Codex CLI session.
v0.2 is the largest update so far: Now lets me pin up to three current projects; notifications are opt-in; context handoff is confirmed before it writes; and Codex CLI, Claude Desktop Jump, and subagent details are included.
A few boundaries matter to me:
- The app has no LLM.
- It makes no external network requests.
- Classification is heuristic; when the evidence is not enough, it says “unknown.”
- It is Apple Silicon only and paid-only, pay what you want from $9.
If you finish one agent session before starting the next, you probably do not need ACC. It is for the moment when several sessions are moving and you catch yourself asking, “Where was that thread?”
I use it every day. I would especially like to hear where your own multi-agent workflow becomes hard to track, and what boundary you would want documented more clearly.
About Agent Command Center on Product Hunt
“See which AI agents need you, then jump back in”
Agent Command Center was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #138 on the daily leaderboard. A local macOS ledger for Claude Code and Codex sessions. See what is running, waiting, asking, or stuck; group work by project; and jump back to the original session. No LLM or external network. Apple Silicon only.
On the analytics side, Agent Command Center competes within Productivity, Developer Tools and Artificial Intelligence — topics that collectively have 1.7M followers on Product Hunt. The dashboard above tracks how Agent Command Center performed against the three products that launched closest to it on the same day.
Who hunted Agent Command Center?
Agent Command Center was hunted by Takeshi. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
For a complete overview of Agent Command Center including community comment highlights and product details, visit the product overview.
Takeshi