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Every new AI session starts cold. Switch tools, hit a token limit, or come back tomorrow and the agent has no idea what you were doing. context0 saves a structured checkpoint per git branch: what’s done, what’s next, blockers, tests, and key files. On the next session, the agent can load that checkpoint and pick up where it left off. Free, open source, local-only. Works with Claude Code, Cursor, and Codex.
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Hey PH,
I was trying Claude Code, Cursor, and Codex to see what actually fit my workflow.
Then I hit Claude’s limit in the middle of a task, switched to Cursor, and had to spend the next 6 minutes re-explaining everything to a fresh agent: which branch I was on, what was already done, what was left, and which decisions mattered.
It happened again the next day, so I built context0.
context0 saves a compact checkpoint per git branch in local SQLite and exposes MCP tools so the agent can save that state when you switch tools and load it in the next session
It is not long-term memory or chat history replay. It is just the short-lived handoff state you need to resume work cleanly in a fresh session.
I heard about Alpha Day, hacked the landing page together today, and shipped this. It is still rough around the edges, but it is already saving me time every now and then as I keep running into rate limits.
If you switch between AI coding tools, give it a try.
Free, open source, local-only.
If you switch between Claude Code, Cursor, or Codex, what’s the one piece of context you most hate re-explaining?