LunarFS
Dropbox for AI agents and devs, forks in milliseconds
LunarFS launched on June 30, 2026 with 4 votes, #3,322 of 22,647 launches that month and more than 75% of that year's launches.
What it does
Running multiple AI agents on the same repo means cloning it per agent, waiting 30-140s for pnpm install on Mac, and hoping they don't stomp each other. Git's branch-lock means two agents can't share a branch at all. LunarFS fixes this at the filesystem level. Fork a new agent workspace in under 5ms. Files stream in on demand — touch 200 of 50,000, pay for 200. Each agent writes to its own private overlay. Agents push normal Git commits when done. Open-source. Works on Linux, Mac, and Windows.
Content-addressed lazy filesystem for developer repos. Store every blob once, address it by hash, and share repo snapshots without duplicating bytes.
Fork a workspace in milliseconds, mount it instantly, hydrate files lazily, and throw it away when the agent is done. Forking the Linux kernel: git worktree 7.4s vs lunar 13ms (548x) A BLAKE3 content-addressed store deduplicates every blob across all workspaces so a fork copies zero bytes upfront. Data exists once; every workspace references, never copies. Forks share underlying blobs. Diverged pages materialize only when written, so a fork is ~13ms regardless of repo size. Storage grows only with your actual changes. Workspaces mount via FUSE and bytes are fetched from the CAS only on first read, so mount is instant regardless of repo size. Agents see a full directory tree immediately.…from lunarfs.com
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Git for AI AgentsMay 2026 · github.com · ▲129hi 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…
Parallel CodeMar 2026 · parallelcode.app · ▲159I 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…

HiveTermMay 2026 · hiveterm.com · ▲86A native workspace for Claude Code, Codex, Antigravity and Grok. Split panes on the desktop, routines in the agent
SnapCommitNov 2025 · snapcommit.dev · ▲65Your AI Git sidekick that executes commands and fixes errors
Agentastic.dev is Ghostty and Git worktrees = multi-agent CC/Codex IDEJan 2026 · agentastic.dev · ▲11I’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…
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