Autonomous software deliveryAutonomous · Multiplayer · Verified
You stopped reading every line your agents write. Now stop watching them write it.Give Replicorg the work. It breaks it down, runs agents in parallel, reviews and tests the result, and brings your team working software to inspect, take over, or ship.
Works with the agents you already use, picks the right one for each step, and gets better as they do.
Why we built it
More code arrives, and someone still has to watch the agents, run the tests and read every diff. Replicorg does that work before anything reaches your team, and no task depends on one person's laptop.
Teams that lean on AI vs. teams that don't. The tick marks their level. Faros AI, 10,000+ developers.
Autonomous
Describe what should be true. Replicorg plans it, splits it up, builds it and ships it, from the first read of the code to the merge. You can watch, step in or stay out of it entirely.
It reads the code, reproduces the problem and writes a plan before changing anything. Big jobs get broken into steps that run in parallel.
Every task gets its own sandbox and its own agents, so the whole backlog moves at once. Claude Code, Codex, OpenCode or any model you route to, per stage and per repository.
Turn on automerge and work that passes every check merges itself. Or inspect the accompanying preview, take it over and merge it yourself. Your call, not a requirement.
Every task runs in its own sandbox, in the cloud or on your own machine. Move a running task between the two and it carries on by itself. There's no gateway to host, no tunnels to open and no session keys to copy around.
● you took over task #4812 agent paused · teammates watching read-only $ mix test test/webhooks/rate_limit_test.exs 12 tests, 0 failures $ git diff --stat lib/webhooks/limiter.ex | 48 ++++++--- ● handed back to the agent agent resumed · picks up from your changes
Open a terminal inside the agent's workspace, or steer it mid-run. Hand it back with a note.
Let it run all the way to a merge, or have it wait for you at the plan. Most teams start cautious and let go quickly.
When an agent needs a decision, it asks. Reply from wherever you are.
Multiplayer
Everyone in your GitHub org hands work in, sees the same board and can watch any agent as it works. Nobody has to. Link related work and each agent plans around the others, so changes land together instead of colliding.
Building in a cloud sandbox
Building on Jonah's laptop
Linked task #4790 is moving API keys to the new vault on feat/key-vault. I'll leave key storage alone and limit on the existing key IDs, so the two changes land cleanly. Noted in the plan.
Verified
Nothing reaches your team on an agent's word. Every change is tested with your own commands, reviewed by a different model and shown running.
One staging server was fine when people shipped one feature at a time. Agents ship six at once, and they queue for it, overwrite each other's deploys and break each other's demos. Replicorg gives every feature its own live preview, on demand, even when it spans repositories.
+ 5 more previews live One for every feature in flight, side by side.
Early access
Software is where we're starting. A company is a network of work, and more and more of it can run on its own. We're opening Replicorg to a small group of teams first. Bring a repository and the task you keep putting off.