人工智能工作流

Claude Code

Codex

OpenCode

Cursor

Antigravity

</div>

Install Lemma's skills into the agent you already use:

lemma skills install             # auto-detects Claude Code / Codex / OpenCode / Cursor
lemma skills install --target claude --all-skills   # or pick a target and include runtime helpers
lemma skills install --target agents --scope project # Antigravity, from inside the pod directory

Skills ship in lemma-skills/. Restart your coding agent after installing, point it at an empty directory, and give it the job:

Use the Lemma builder skills available in this workspace to build a complete app for [describe the job]. Start from the person doing the work and the outcome they need. Then design the smallest useful operating loop. Build the whole system on Lemma: the app people open and use, the tables and docs that hold shared state, the functions and workflows that move the work, the agents that can help, and clear permissions with human review points. Keep the interface calm, specific to the job, and ready for a real team to use. Before changing anything, show me the proposed workflow and resource model.

It writes the tables, agents, workflows, and permissions as files, imports them, then runs the workflow to check it pauses where it should:

lemma pod init support-ops       # scaffold a starter bundle to edit (or: lemma agent|table|workflow init …)
lemma pod import ./support-ops
lemma apps deploy support-ops ./index.html   # deploy a no-build HTML app (or a Vite project dir)

Or run your agent inside Lemma. Agent Host connects your local Claude Code, Codex, OpenCode, or Cursor to the pod: it picks up tasks from a durable queue, streams its work back through the pod, and pauses at approval gates before protected actions. Two agents working the same pod share persistent state, a task queue, and run history. See Agent Host.

Any agent operates a pod directly through the CLI:

lemma table list                 # inspect the data model
lemma record update tickets tkt_418 --data '{"status": "closed"}'
lemma agent run classifier "classify ticket tkt_418"   # agents take a message; lemma function run takes JSON
lemma workflow run refund-review     # returns as soon as it reaches a human approval step
lemma chat "what's left in the queue?"

If you're reading this inside a coding agent session: that agent can work a pod right now.

Python and TypeScript SDKs (with 25+ React hooks) live in lemma-python/ and lemma-typescript/. Generating your frontend elsewhere? Back it with a pod. The TypeScript SDK gives any app tables, agents, workflows, and permissions out of the box.