Switching between AI coding agents is chaos. ELVES gives them a shared workspace, shared memory, and a single place to ship from. Works with Claude Code & Codex!
Been hacking on this for a bit and figured I'd share since it scratches a specific itch I kept running into with Claude Code/Codex.
Every session starts cold. Skills and MCP configs are just dotfiles you edit by hand. Running multiple agents means they stomp on each other. And I had zero visibility into which projects were eating my tokens. So we built ELVES to fix that.
Here's what it actually does:
You can browse, edit, and install skills from a UI instead of hand-editing markdown. Same for MCP servers — toggle them on/off instead of messing with JSON. Each task spins up in its own git worktree with an embedded terminal, so you can run multiple agents without conflicts. There's a file explorer with a split view so you can watch the agent work alongside your code. A SQLite-backed memory layer persists context across sessions with relevance decay so old stuff fades out naturally. And it parses the telemetry Claude Code already writes to ~/.claude/ into actual readable dashboards — token usage by model, cache hit rates, session timelines, activity heatmaps, that kind of thing.
Everything is local. No cloud, no accounts. Spawns a real CLI in a PTY, nothing proprietary. Also supports Codex. MIT licensed, free to use.
One heads up — the app isn't notarized by Apple yet, so after installing you'll need to go to System Settings → Privacy & Security → Open Anyway.
Still early and rough around the edges. Give it a try and let me know what you think — feedback, feature requests, and issues are all welcome on GitHub.
About ELVES on Product Hunt
“Summon your army of AI agents”
ELVES launched on Product Hunt on March 11th, 2026 and earned 118 upvotes and 3 comments, placing #16 on the daily leaderboard. Switching between AI coding agents is chaos. ELVES gives them a shared workspace, shared memory, and a single place to ship from. Works with Claude Code & Codex!
On the analytics side, ELVES competes within Open Source, Developer Tools, Artificial Intelligence, GitHub, Vibe coding and YC Application — topics that collectively have 1.1M followers on Product Hunt. The dashboard above tracks how ELVES performed against the three products that launched closest to it on the same day.
Who hunted ELVES?
ELVES was hunted by Manikandan V M. 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 ELVES including community comment highlights and product details, visit the product overview.
Manikandan V M