Four tools, one question: which of your agents needs you?
Running one coding agent is a chat. Running eight is an operations problem. In one day, four separate projects shipped answers to the same question: when you have a pile of agents going at once, how do you know which one is waiting on you?
The biggest name is JetBrains. ThinkRail, from its InnovationHub, is an Apache-2.0 open-source IDE where every workspace is a real git worktree and "a connected graph of spec files lives beside the code" that the agent reads and maintains. The interesting choice is the engine. JetBrains didn't build its own agent. It runs the open-source pi coding agent in-process and lets pi own "models, skills, compaction, and cost", while ThinkRail owns the workspace and editor and "never assembles prompts behind your back." The repo has about 1,100 stars and ships nightlies. https://thinkrail.ai https://github.com/JetBrains/thinkrail
Corgi made the HN front page at 124 points. It's a tmux-style terminal multiplexer that knows what agents are: every pane is working, needs you, unread or clear, and F1 jumps you to whatever needs attention. It runs Claude Code, Codex, Pi and OpenCode on your existing accounts, adds a "top for your tokens" view, and keeps agents running in the background like tmux. https://corgi.computer
AgentValley was Product Hunt's number 4 product on Saturday. It puts every Claude Code session in the MacBook notch as a card with a row per sub-agent, showing who's working, on which model, and who's waiting on you. Free and open source: https://www.producthunt.com/products/agentvalley
Then the paper underneath all of it. MemMux tackles what happens to a workstation running ten Claude Code sessions. Plain tmux pinned the machine at twice its RAM budget and pushed about 2 GiB into swap. MemMux held the fleet under 7,500 MiB with zero swap, reclaimed 100 percent of a killed agent's process tree where the baseline left half behind, and caught 10 of 10 escaped child processes, at 2.7 percent CPU overhead with ten agents. https://arxiv.org/abs/2610.07257 The bottleneck in agentic coding has moved from the model to the human's attention and the laptop's memory, and the tooling is finally showing up for both.
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The biggest name is JetBrains. ThinkRail, from its InnovationHub, is an Apache-2.0 open-source IDE where every workspace is a real git worktree and "a connected graph of spec files lives beside the code" that the agent reads and maintains. The interesting choice is the engine. JetBrains didn't build its own agent. It runs the open-source pi coding agent in-process and lets pi own "models, skills, compaction, and cost", while ThinkRail owns the workspace and editor and "never assembles prompts behind your back." The repo has about 1,100 stars and ships nightlies. https://thinkrail.ai https://github.com/JetBrains/thinkrail
Corgi made the HN front page at 124 points. It's a tmux-style terminal multiplexer that knows what agents are: every pane is working, needs you, unread or clear, and F1 jumps you to whatever needs attention. It runs Claude Code, Codex, Pi and OpenCode on your existing accounts, adds a "top for your tokens" view, and keeps agents running in the background like tmux. https://corgi.computer
AgentValley was Product Hunt's number 4 product on Saturday. It puts every Claude Code session in the MacBook notch as a card with a row per sub-agent, showing who's working, on which model, and who's waiting on you. Free and open source: https://www.producthunt.com/products/agentvalley
Then the paper underneath all of it. MemMux tackles what happens to a workstation running ten Claude Code sessions. Plain tmux pinned the machine at twice its RAM budget and pushed about 2 GiB into swap. MemMux held the fleet under 7,500 MiB with zero swap, reclaimed 100 percent of a killed agent's process tree where the baseline left half behind, and caught 10 of 10 escaped child processes, at 2.7 percent CPU overhead with ten agents. https://arxiv.org/abs/2610.07257 The bottleneck in agentic coding has moved from the model to the human's attention and the laptop's memory, and the tooling is finally showing up for both.
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