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Everything an AI workforce needs.

Orchestration, terminals, planning, memory, and git — engineered into one workspace so agents can do real engineering.

Orchestrate

One prompt, a whole team

Describe the outcome. Marshell plans the work, assigns agents, and runs them in parallel — you watch it converge on the task board.

Inspect

Nothing happens off-screen

Every agent action lands in a real terminal pane. Scroll back, interrupt, or take over the shell at any moment.

Ship

From task to merged PR

Agents work isolated worktrees, run the tests, and open reviewable pull requests. You keep the merge button.

The full surface

Every capability. Zero context switching.

AI Agent Swarm

Spin up a fleet of autonomous agents that divide work and conquer it in parallel.

Agents
Terminals
Branches
Sync

Parallel Execution

Tasks fan out across agents and terminals simultaneously — no queue, no waiting.

Task Planning

Agents break epics into ordered, dependency-aware task graphs before touching code.

Multi-Agent Collaboration

Agents hand off outputs, share context, and resolve dependencies between each other.

Real-Time Monitoring

Live execution traces on the canvas overlay — watch every decision as it happens.

Git Integration

Isolated worktrees per agent, clean diffs, and PRs opened automatically when done.

Interactive demo

A real task, start to finish

hyperion — agentszsh
$ hyperion agents plan "add rate limiting to the API"
→planning 4 tasks · 2 can run in parallel
01 design limiter middleware agent-01
02 implement token bucket agent-02
03 wire into router (needs 01,02) agent-01
04 integration tests (needs 03) agent-03
→dispatching 3 agents · 3 terminals attached
agent-02 › src/middleware/bucket.ts +214 −0
agent-01 › src/middleware/limiter.ts +96 −4
agent-03 › tests/rate-limit.test.ts 48 passed
✓PR #219 ready for review · 22 min end to end▋

See it on your own codebase.