Continuous Claude v3

Claude Code forgets everything the moment it compacts. You spend twenty minutes building shared context, the window fills, it summarizes, and half of what mattered is gone. Continuous Claude v3 is built to stop exactly that. It is a context-continuity system for Claude Code — a packaged setup of 109 skills, 30 hooks, and 32 agents that maintains state across sessions instead of losing it at every compaction. The core idea is the ledger. Hooks write what's happening to durable ledgers and structured handoffs, so when a session ends or context compacts, the next session reads the ledger and picks up the thread as if nothing was lost. It is the difference between an assistant with amnesia and one that remembers what you were doing yesterday. The hooks are where the work happens. They fire on Claude Code lifecycle events to capture state, write handoffs, and keep the working context clean. A key trick: it runs MCP tool execution without polluting the main context window — calls happen in isolated context, and only the result comes back, so your conversation doesn't fill up with tool noise. The 32 agents do orchestration in isolated context windows, which means a sub-task can run a long, messy job without dumping all of it into your primary session. Why this matters right now: the data from 22,000 developers shows AI coding quality drifting as output scales — and a big driver of that drift is the agent losing context mid-task and guessing. Continuity is a quality fix, not just a convenience. Keep the agent's memory intact and it makes fewer of the "almost right, but not quite" mistakes that cost the most. The repo is Python (around 64%), MIT-licensed, and sits at roughly 3,800 stars and 298 forks. It works with Claude Code's hooks and skills system. New to how agents load external context? Read our explainer on what MCP is, and pair this with the agents in our best AI coding tools roundup. For a dedicated reviewer that catches what a drifting agent gets wrong, see Qodo.