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Alternatives

Products that do what Lazyagent – TUI for to watch all your AI coding agents does

Running multiple coding agents could make user losing track of what they were doing. Once subagents start spawning other subagents, basic questions get hard to answer: what is running right now, what tool did it just call, did the child agent actually do what the parent asked. Lazyagent is a terminal TUI that collects events from Claude Code, Codex, and OpenCode and shows them in one place. It groups sessions from different runtimes by working directory, so Claude and Codex runs on the same repo appear under the same project. From there you can: - Filter events by type: tool calls, user…

  1. 1LA

    Lazyagent a simple way to see what your coding agents were actually doing across Claude, Codex, and OpenCode. Once you have more than 1 agent running, its really hard to answer the simple question: what is it doing right now and why? It is a local terminal UI that collects your agents runtime events and shows their activity in one place. You can inspect: - agents and subagents - tool calls - prompts - outputs - status changes Sessions and projects are there to give that activity some context, so it is easier to follow what happened over time and which run belongs to which repo. And make it…

    Apr 2026 · github.com

  2. 2LA

    Hi HN, I made tui observerbility tool for ai agents. Once subagents start spawning other subagents, basic questions get hard to answer: what is running right now, what tool did it just call, did the child agent actually do what the parent asked. I wanted a way to verify that each agent is doing the work that fits its role, and to spot when a run goes off track. Lazyagent is a terminal TUI that collects events from Claude Code, Codex, and OpenCode and shows them in one place. Also it can show your token usage information about the sessions. Features: Filter events by type: tool calls, user…

    Apr 2026 · github.com

  3. 3

    A lazy TUI for monitoring Claude Code agent sessions

    Mar 2026

  4. 4
    Replicas239

    Run Claude Code and Codex in the cloud

    Jun 2026 · replicas.dev

  5. 5
    1Code575

    Open source Cursor-like UI for Claude Code

    Jan 2026

  6. 6

    Parallel custom agents for complex tasks

    Mar 2026

  7. 7
    Runtime303

    Sandboxed coding agents for everyone on your team

    May 2026 · runtm.com

  8. 8
    opencode395

    Your terminal's AI agent, with any model you want

    2025

  9. 9

    The fastest workflow for developing with AI

    26d ago · agent-manager.dev

  10. 10

    Give your AI coding agent access to open-source code

    Jun 2026 · githits.com

  11. 11

    Run Claude, Codex & Copilot directly in GitHub & VS Code

    Feb 2026

  12. 12TI

    Hey HN, Small OSS project that i created for myself and want to share with the community. It's a declarative, scriptable, terminal-based IDE focussed on agentic engineering. That's a lot of jargon, but essentially its a multi-agent IDE that you start in your terminal. Why is that relevant? Thanks to tmux and SSH, it means that you have a really simple and efficient way to create your own always-on coding setup. Boot into your IDE through ssh, give a prompt to claude and close off your machine. In tmux-ide claude will keep working. The tool is intentionally really lightweight, because I think…

    Mar 2026 · tmux.thijsverreck.com

  13. 13GF

    hi guys. been working on something i think is fundamentally missing in today's workflow with ai agents. vcs. i find myself struggling with questions that agents can't answer like "why did you do it?", "when did u delete this folder? why?", etc. or trying to /rewind (after a /compact...) or basically `bisect` to find when and why something was done by the agent in the current / previous session. just like git did for code, i think we are the same core capabilities with ai agents so... i developed an open source solution for that (currently supporting claude code) would love to…

    May 2026 · github.com

  14. 142C

    Single-agent LLMs suck at long-running complex tasks. We’ve open-sourced a multi-agent orchestrator that we’ve been using to handle long-running LLM tasks. We found that single LLM agents tend to stall, loop, or generate non-compiling code, so we built a harness for agents to coordinate over shared context while work is in progress. How it works: 1. Orchestrator agent that manages task decomposition 2. Sub-agents for parallel work 3. Subscriptions to task state and progress 4. Real-time sharing of intermediate discoveries between agents We tested this on a Putnam-level math problem, but the…

    Feb 2026 · github.com

  15. 15AO

    Hi! I’m Nathan: an ML Engineer at Mozilla.ai: I built agent-of-empires (aoe): a CLI application to help you manage all of your running Claude Code/Opencode sessions and know when they are waiting for you. - Written in rust and relies on tmux for security and reliability - Monitors state of cli sessions to tell you when an agent is running vs idle vs waiting for your input - Manage sessions by naming them, grouping them, configuring profiles for various settings I'm passionate about getting self-hosted open-weight LLMs to be valid options to compete with proprietary closed models. One…

    Jan 2026 · github.com

  16. 16RT

    This project (Agents Observe) started as an exploration into building automation harnesses around claude code. I needed a way to see exactly what teams of agents were doing in realtime and to filter and search their output. A few interesting learnings from building and using this: - Claude code hooks are blocking - performance degrades rapidly if you have a lot of plugins that use hooks - Hooks provide a lot more useful info than OTEL data - Claude's jsonl files provide the full picture - Lifecycle management of MCP processes started by plugins is a bit kludgy at best The biggest takeaway is…

    Apr 2026 · github.com

  17. 17

    Validate agent-generated code before it ever reaches CI

    May 2026 · circleci.com

  18. 18
    Orca89

    Your control center for parallel AI agents

    Apr 2026

  19. 19SR

    Hello all, I'm a software developer. Over the last few months more and more of my work has turned into using coding agents instead of typing the whole code myself. Usually a few claude sessions at once, sometimes codex, one per feature or per revealed bug. I ran them in a split terminal for a few weeks, and quickly spotted two main problems. The first is that I couldn't easily tell which agent was stuck waiting on me and which was still working, so I'd cycle through sessions and checking on them. The second one: agents sharing a single branch step on each other. Two of them could be editing…

    Jul 2026 · shikigami.dev

  20. 20

    Your AI agents team, terminals, notes: one infinite canvas

    Jul 2026 · agentgrid.sh

  21. 21

    Run Claude Code agents in terminal with a visual editor

    Feb 2026

  22. 22AD

    I’ve been tinkering with what a “multi-agent IDE” should look like if your day-to-day workflow is mostly in terminal (Claude Code, OpenAI Codex, etc.). The more I played with it, the more it collapsed into three fundamentals: * A good TUI: Terminal is the center stage, with other stuff (CodeEdit, Diff, Review) baked on the side. I don’t like piping Agent’s output through some electron wrapper, here you get to run CC/Codex/Droid/Amp/etc directly. * Isolation: agents shouldn’t step on each other’s toes. The simplest primitive I’ve found is Git worktrees. It is not as…

    Jan 2026 · agentastic.dev

  23. 23

    Every AI coding session on your machine, in one TUI

    Jul 2026 · github.com

  24. 24IA

    1. Headless mode Headless mode allows you to use the AI as a command-line utility for automation and scripting. In Claude Code you run it with the -p flag: claude -p, in codex - exec, opencode - run. 2. Ask human The traditional communication channel with the operator won't work in headless mode - we need to implement a dedicated tool. Here is an example of how this can be done https://github.com/sermakarevich/claude/tree/main/mcp/ask_hu... 3. Tasks queue Beads is a lightweight distributed graph issue tracker for AI agents, powered by Dolt. You can…

    Jun 2026

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