# cc-session-recover recovers Claude Code sessions after quota stops > Source: > Published: 2026-06-14 20:47:03.581329+00:00 # cc-session-recover recovers Claude Code sessions after quota stops The open-source project softcane/cc-session-recover on GitHub provides tooling to recover long-running Claude Code sessions after quota or rate-limit interruptions, according to the repository README. The tool makes the assistant write a persistent recovery note (HANDOFF.md), retries on a slow schedule while quota is blocked, and attempts an automatic resumed run after the quota reset, per the project documentation. The repo documents two recovery paths: heartbeat-based continuation when the terminal remains open, and a closed-terminal watcher that resumes by session id. The project README also states the tool does not bypass quota limits. A separate GitHub project, router-for-me/CLIProxyAPI, documents OAuth support for Claude Code access. ### What happened The GitHub repository softcane/cc-session-recover provides scripts and hooks designed to preserve and resume interrupted Claude Code sessions after quota or rate-limit stops, per the project's README on GitHub. The repository reports that the assistant writes a recovery note called HANDOFF.md while working, that the system retries on a slow schedule while quota is blocked, and that the first attempt after a reset picks the task up where it left off. The README describes two recovery modes: a heartbeat that keeps the active session alive when the terminal remains open, and a closed-terminal watcher that targets the recorded session id. The README also explicitly states the tool does not bypass quota limits and that the worst case is manual continuation using the HANDOFF.md file. ### Technical details The project README notes avoidance of terminal-injection hacks such as tmux or screen and instead uses headless claude -p --resume for the optional closed-terminal watcher. The install instructions shown in the repository include an npx cc-session-recover init /path/to/project flow and a script-based install alternative. The README says users must approve hooks when Claude Code requests them on first start. Editorial analysis - technical context: Projects that persist session state to disk and embed lightweight handoff instructions reduce the friction of resuming long-running interactive model tasks. Industry tooling frequently balances two approaches: keeping an in-memory heartbeat to preserve context while the process is live, or recording minimal session identifiers and progress to enable resume after a restart. The repo's dual-path design follows that pattern and prioritizes recoverability over trying to circumvent upstream rate controls. Editorial analysis - context and significance: For developers running long-running coding or data-processing sessions against rate-limited LLM endpoints, session-loss creates wasted developer time and context rebuilding effort. Tools that standardize a repository-level handoff note and an automated retry policy can materially reduce manual recovery work and improve reproducibility of interrupted runs. The presence of OAuth-compatible proxy projects such as router-for-me/CLIProxyAPI, which documents support for Claude Code, suggests a broader ecosystem focused on multi-account and resilient CLI access. ### What to watch For practitioners: adoption indicators include forks, stars, and issue activity on the softcane/cc-session-recover repo, usage examples demonstrating closed-terminal resume across cloud quota windows, and compatibility reports with new Claude Code client releases. Also watch for security and credential-handling discussion in issues if the watcher requires stored session tokens. ## Scoring Rationale This is a notable developer-focused utility that meaningfully reduces friction for long-running `Claude Code` sessions but does not change model capabilities. Practitioners running interactive CLI workflows will find it practically useful, warranting a mid-high impact score. Practice interview problems based on real data 1,500+ SQL & Python problems across 15 industry datasets — the exact type of data you work with. [Try 250 free problems](/problems)