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AI · alternatives · 2026

24 alternatives to LunarFS

Dropbox for AI agents and devs, forks in milliseconds

Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes.

  1. 1

    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 · its alternatives →

  2. 2

    I kept running into a structural problem with AI coding tools. You try one agent. It makes changes. You try another. Now you're manually diffing branches and cleaning up experimental commits. The tools are powerful, but the workflow isn’t designed for comparison. So I built Parallel Code. It runs Claude Code, Codex, and Gemini CLI natively (no API wrapper, no feature abstraction), but isolates each agent in: its own terminal its own Git worktree its own feature branch The workflow becomes: Spawn N worktrees Assign one AI agent per worktree Let them implement independently Compare diffs Merge…

    Mar 2026 · parallelcode.app · its alternatives →

  3. 3
    Agent 37▲401

    Hey HN, I noticed there are 1,000+ MCP skills on GitHub with zero way for creators to charge for them. So I built Agent37. Selling Claude skills today means asking customers to download your skill, set up Claude Code on their laptops, configure MCP servers, and pray it works. No trial, no updates, often you're just handing over the source. Agent37 lets creators upload a skill, share a link, and anyone can try it instantly (no Claude account needed). Built-in Stripe, creators keep 80%. Looking for feedback on the approach. Would you use something like this?

    Mar 2026 · agent37.com · its alternatives →

  4. 4

    The stack: two agents on separate boxes. The public one (nullclaw) is a 678 KB Zig binary using ~1 MB RAM, connected to an Ergo IRC server. Visitors talk to it via a gamja web client embedded in my site. The private one (ironclaw) handles email and scheduling, reachable only over Tailscale via Google's A2A protocol. Tiered inference: Haiku 4.5 for conversation (sub-second, cheap), Sonnet 4.6 for tool use (only when needed). Hard cap at $2/day. A2A passthrough: the private-side agent borrows the gateway's own inference pipeline, so there's one API key and one billing relationship…

    Mar 2026 · georgelarson.me · its alternatives →

  5. 5
    Replicas▲239

    Hey HN! I'm Connor, creator of Replicas. I'm a heavy Codex/Claude Code user, and I wanted to hand off tasks to agents like I would to an engineer - kick something off before work, let it scaffold while I'm at lunch, even come back to a ready PR. The problem: existing alternatives use workspace VMs that are black boxes. I have no access to any of them - they can't run tests, read logs, or use tools like the Playwright MCP (which I use to verify agents actually fixed what they claim to fix). Replicas gives agents real cloud workspaces where they can: - Run your test suite and read the…

    Jun 2026 · replicas.dev · its alternatives →

  6. 6

    Spin up secure sandboxes in ~100 ms

    Nov 2025 · hopx.ai · its alternatives →

  7. 7

    From git clone to running code in one command

    2025 · its alternatives →

  8. 8

    A native workspace for Claude Code, Codex, Antigravity and Grok. Split panes on the desktop, routines in the agent

    May 2026 · hiveterm.com · its alternatives →

  9. 9

    Your AI Git sidekick that executes commands and fixes errors

    Nov 2025 · snapcommit.dev · its alternatives →

  10. 10

    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 · its alternatives →

  11. 11

    The fastest workflow for developing with AI

    Aug 2026 · agent-manager.dev · its alternatives →

  12. 12

    Howdy all. I'm Zack :wave:. I've been thinking about the problem of misguided AI pull requests and figured I'd throw a possible solution out there for feedback. Basically, CleverCrow lets supporters give tokens to a GitHub repo (or set of issues in that repo) for the maintainers to use to build/fix stuff. The fun implementation challenges have been around implementing the pooling dynamics and keeping the maintainers in charge while the backers are motivated to support their work.

    Jun 2026 · clevercrow.io · its alternatives →

  13. 13
    Offload▲93

    Offload your test suite to speed up the agent loop

    Mar 2026 · github.com · its alternatives →

  14. 14

    I have been pushing up to 90 commits a day on a MacBook Air via 4-5 parallel agents. As you can imagine when all the agents try to build, test and run dev servers on an 8GB machine it is the fast lane to a force quit and restart. I also did not want to pay the CI minutes on 90 pushes a day. So I designed a local merge queue to have all commits land one at a time and fully tested. Hopefully this helps other folks with more modest machines. Appreciate any feedback.

    Jul 2026 · github.com · its alternatives →

  15. 15

    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 · its alternatives →

  16. 16
    GitChat▲48

    AI agent for GitHub pull request summaries and chat

    2024 · gitchat.dev · its alternatives →

  17. 17

    A public git host for AI agents. No account, no token, no key: push to a name and the repository exists.

    Sep 2026 · agentgit.co · its alternatives →

  18. 18AA

    I'm a solo dev in Taiwan. I built 4 AI agents that handle content, sales leads, security scanning, and ops for my tech agency — all on Gemini 2.5 Flash free tier (1,500 req&#x2F;day). I use ~105. Monthly LLM cost: $0. Architecture: 4 agents on OpenClaw (open source), running on WSL2 at home with 25 systemd timers. What they do every day: - Generate 8 social posts across platforms (quality-gated: generate → self-review → rewrite if score < 7&#x2F;10) - Engage with community posts and auto-reply to comments (context-aware, max 2 rounds) - Research via RSS + HN API + Jina Reader → feed…

    Mar 2026 · its alternatives →

  19. 19LO

    Hi HN, Martin, Nils, and Jannes here. We are building Legit, an open source version control and collaboration layer for AI agents and AI native applications. You can find the repo here https:&#x2F;&#x2F;github.com&#x2F;Legit-Control&#x2F;monorepo and the website here https:&#x2F;&#x2F;legitcontrol.com Over the last years, we worked on multiple developer tools and AI driven products. As soon as we started letting agents modify real files and business critical data, one problem kept showing up. We could not reliably answer what changed, why it changed, or how to safely undo it. Today, most AI…

    Jan 2026 · its alternatives →

  20. 20

    I realised I was working on more parallel tasks with coding agents, but git branches became a huge bottleneck. Tried Git Butler but it just complicated things further. Found git worktrees as a solution but the git API was a bit too complicated for day to day. So thought I'll vibe-code this simple CLI utility to manage the process. It technically works with any setup – claude&#x2F;codex&#x2F;gemini + cursor&#x2F;vim&#x2F;whatever. Just manages git worktrees inside your repo and sets up your dev environment how you like it. Nothing fancy, just something I built to scratch my own itch. Figured…

    2025 · github.com · its alternatives →

  21. 21

    Autonomous multi-agent orchestration engine for software repos — L0/L1/L2 agents, leases, gates, audits, git-worktree isolation. Detached dispatch by default. GPL-3.0. - alex-reysa/singular-lite

    Jun 2026 · github.com · its alternatives →

  22. 22

    Supafork is the AI Agent Native Version Control system, Git built for autonomous agents. Super-fast forks, instant branches, S3-backed agent filesystems, and full env control. Faster than Mesa, more agent-native than Archil. Track every change your agents make. Now the source of truth for your agent

    Sep 2026 · supafork.com · its alternatives →

  23. 23

    Control plane that runs AI coding agents (Codex, Claude Code, Gemini, OpenCode, Grok, Cursor) as disciplined contributors: each task gets an isolated git worktree + Docker Compose stack, profile-driven validation, a created PR, and an autonomous PR-monitor loop (review, CI fixes, base sync, auto-mer

    Jun 2026 · github.com · its alternatives →

  24. 24

    Parallel AI agent isolation for Git repositories. Contribute to bugrax/git-lanes development by creating an account on GitHub.

    Mar 2026 · github.com · its alternatives →

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