AgentiCycle
Coming Soon

Multi-agent workflow engine

Build software workflows across the agents you already use.

AgentiCycle gives developers an agent-agnostic plan engine for moving work across ChatGPT, Cursor, Claude Code, and other coding agents.

Coming SoonSee How It Works

Developer access is coming soon.

A workflow diagram showing a plan moving from ChatGPT investigation to Cursor review to Claude Code implementation.

Agent-agnostic plan engine

One plan, multiple agents

Context travels with the work
  1. Investigate

    ChatGPT

    Map the problem, summarize facts, and shape the initial plan.

  2. Review

    Cursor

    Run a fast pass on risks, tests, alternatives, and edge cases.

  3. Implement

    Claude Code

    Turn the approved plan into code with constraints attached.

Workflow

One connected path through multiple agents.

Use the right agent for each engineering step without losing the plan, decisions, or handoff context between tools.

  1. 1

    Investigate

    Start with the agent that is best for analysis.

    Use ChatGPT or another strong reasoning tool to map the problem, collect facts, and shape the first plan.

  2. 2

    Review

    Move the plan through a faster review pass.

    Send the same context to Cursor or another lightweight agent for checks, alternatives, and edge cases.

  3. 3

    Implement

    Hand the approved plan to the coding agent.

    Give Claude Code or your chosen implementation tool the plan, owner, files, commands, and constraints it needs.

  4. 4

    Track

    Keep ownership and status clear between tools.

    AgentiCycle keeps the workflow state, decisions, and handoff notes readable as the work moves forward.

Plan Engine

The plan is the handoff layer between agents.

AgentiCycle keeps the workflow centered on one plan while developers choose the right agent for each step.

Source labels show which agent handled each stage.

Status and ownership make handoffs easy to follow.

Plan notes keep the next agent session grounded.

Investigate

ChatGPT

Map the problem, summarize facts, and shape the initial plan.

Review

Cursor

Run a fast pass on risks, tests, alternatives, and edge cases.

Implement

Claude Code

Turn the approved plan into code with constraints attached.

The plan is the handoff layer.

It carries context, constraints, ownership, status, and next steps between tools without pretending every agent should do the same job.

Integrations

Built around the agent tools your team already uses.

Compatibility is central to the product story: developers should be able to choose the best agent for each step and keep one coherent workflow around them.

  • ChatGPT
  • Cursor
  • Claude Code
  • Gemini
  • Mistral AI

Start with a multi-agent workflow

Give every agent the context it needs for the next step.

Let developers investigate, review, and implement across tools while AgentiCycle keeps the plan, owner, status, and handoff notes together.

Coming Soon

Developer access is coming soon.