DevToolsAIProductivitySaaS

AgentPort — Cross-agent context migrator

When one coding agent hits its limit, move to another with full context intact

Problem
Developers juggle Codex, Claude Code, and Cursor, but the moment one hits a usage cap or shows a model-at-capacity error, the task grinds to a halt. One user explicitly wants to switch to another agent without losing the ongoing context and tasks, saying existing tools claim to do this but none convincingly do; another abandoned a tool and restarted on a different stack after repeated capacity errors.
Solution
A local daemon plus CLI that watches agent session directories and terminal output, compressing the current task into a portable state pack: goal, files changed, TODOs, failed attempts, and key decisions. When a quota or capacity error is detected, it rebuilds that context inside another agent and resumes execution, keeping links back to the original session.
Users
Individual developers and small teams subscribing to multiple AI coding agents and running long cross-file refactors or debugging sessions
MVP
Read and restore sessions for 2-3 major coding agents; detect quota/capacity errors and prompt a switch; generate a structured task-state pack (goal, changes, TODOs, failures); one-click context rebuild in the target agent; fully local storage with no code upload
Revenue
Monthly subscription; free tier capped at 3 migrations per day, Pro unlocks unlimited migrations and more agent adapters, team tier adds shared state packs and audit logs
Why now
Coding agents are entering a multi-platform era with frequent quota and capacity limits, making cross-agent switching a daily pain, yet no standard protocol exists, so a focused indie tool can win this gap

Source discussions · 2

  1. Hacker NewsAsk HN: How do you handle hitting AI coding agent usage limits?1↑ 2
  2. V2EX[程序员] O÷卖不起 plan 为什么不选择倒闭呢?0↑ 3
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