Structured task execution for AI agents. No lost context, no skipped steps. If your agent runs out of tokens, just swap in a new one and keep going.
curl -fsSL https://raw.githubusercontent.com/superplan-md/superplan-plugin/main/scripts/install.sh | sh
curl.exe -fsSL -o install-superplan.cmd https://raw.githubusercontent.com/superplan-md/superplan-plugin/main/scripts/install.cmd; if ($LASTEXITCODE -eq 0) { .\install-superplan.cmd }
curl.exe -fsSL -o install-superplan.cmd https://raw.githubusercontent.com/superplan-md/superplan-plugin/main/scripts/install.cmd && install-superplan.cmd
superplan init
.superplan/ inside your repo. No external
service, no sync issues, survives reboots and agent swaps.superplan run,
and continue from the exact step where things stopped.Every piece of work starts with a named change. The scope is explicit from the start, no ambiguity.
Superplan converts your change into ordered, trackable tasks. Each task has a contract with no vague intentions.
Your AI agent runs through tasks one by one. It can't skip steps. Progress is saved after every action.
Check what's done, what's next, and what's blocked at any time. If your agent hits a token limit or you switch to a different model entirely, state is safe in the repo. Any agent can resume from the exact same point.
"First time I've had an AI agent actually finish what it started. Context survives across sessions, steps can't be skipped. It just works."
@devops_nico"My Claude session hit its token limit mid-refactor. I switched to GPT-4o, ran superplan run, and it picked up at the exact next task. Genuinely shocked."
@buildingwithbri"This is what I wanted project management tools to be for agents. Finally something that forces order instead of hoping the agent remembers."
@kartik_dev"The JSON-first design is underrated. I pipe superplan status into a dashboard that shows my whole team what the agent is doing."
@liz_eng"Been using it for two weeks. The thing agents kept failing at was losing the plan mid-conversation. Superplan just removes that failure mode."
@tomhammers"The .superplan/ folder living in my repo means the whole team can see what the agent did and what's next. No black box."
@rachael_builds"Ran a 3-hour coding session across two different models. Each knew exactly where to pick up. That's the killer feature."
@srdjanp"Simple concept, surprisingly deep. The skills system runs discipline around every task automatically. Planning, debugging, review — it's all there."
@mira_infra"Feels like what GitHub Issues should have been for AI-driven work. Tasks with contracts, not just sticky notes."
@andrewmakes"I was skeptical about yet another CLI tool. Three weeks in, superplan run is the first command I run in every session."
@elise_codes"The comparison vs chat-based work is night and day. No more re-explaining context. The agent reads the task, does it, moves on."
@productdev"Open source, lives in your repo, no external service. This is what agent tooling should look like."
@jasper_ossHow structured CLI execution compares to the alternatives teams rely on today.
| Feature | Superplan | Chat-based AI | TODO Lists | Project Managers |
|---|---|---|---|---|
| Persistent context | ✓ Full history | ✗ Lost per session | ~ Manual notes | ~ Docs only |
| Agent-native | ✓ CLI-first | ~ Chat only | ✗ Not designed for agents | ✗ Human-only UX |
| Enforced step order | ✓ Blocked gates | ✗ Improvises freely | ✗ No enforcement | ~ Manual ordering |
| Lives in your repo | ✓ .superplan/ | ✗ External service | ✗ External app | ✗ External service |
| Swap agents mid-task | ✓ Built-in | ✗ Start from scratch | ✗ No state | ~ With setup |
| Zero drift guarantee | ✓ Enforced | ✗ Prone to drift | ✗ Untracked | ✗ Manual reviews |
| Open source | ✓ Apache 2.0 | ✗ Proprietary | ~ Varies | ✗ Often proprietary |
Install Superplan in your repo and start executing with structure. Takes less than a minute.