# saranyan/agent-relay > A Python tool that pairs AI coding sessions from different vendors (Claude Code and Codex) as leader and follower, relaying turns between them and stopping at human decisions. - Magnitude: 1.5 out of 10 — Steady - Stars: 9 total · +1 star measured 2026-10-29, 00:10–00:53 UTC, ≈ 5 by evening - Star trust: star growth looks organic - Category: AI agents · Language: Python · License: MIT · Created: 2026-10-25 · Last push: 2026-10-25 - GitHub: https://github.com/saranyan/agent-relay · Page: https://gitnova.dev/en/r/saranyan/agent-relay ## Useful for - Pair Codex and Claude Code so one writes the plan and review while the other implements code - Run a bounded job of 8 turns with a timeout and a notification when a decision is needed - Inspect the hash-chained record of agent messages and decisions via relay thread for auditing ## Why it’s here - Star-counter measurements on 2026-10-29 (UTC), 00:10–00:53: 8 → 9 stars (+1). This is the change over that interval. - Estimated end-of-day forecast: about +5 stars, using observed gains and the previous day. - The repository is 4 days old and already has 9 stars. With less than two weeks of history, there's no usual pace to compare the spike against yet. - Hacker News: “Show HN: Agent-relay for multi-vendor coding sessions” — 8 points, 1 day ago. ## Star trust Star growth looks organic. Star-trust labels are heuristics based on the repository’s behavior, not a check of every stargazer. ## Numbers - Forks: 1 - Issues and pull requests: 0 - Watchers: 0 - Average over the last week: 3 per day - Usual pace: too little history (under two weeks) - Stars in the last hour (measured): 1 ## Stars per day, last 5 days (oldest → newest, today is partial) 2026-10-25 … 2026-10-29: 1, 0, 5, 3, 1 ## Magnitude by day, last 2 days 10-28 1.3, 10-29 1.5 ## Hacker News - Show HN: Agent-relay for multi-vendor coding sessions — 8 points, 0 comments: https://news.ycombinator.com/item?id=50262407 ## Spotted in now - Spotted on Hacker News ## More in this category 1. **HKUDS/DeepTutor** — 8.1 · Breakout · AI agents · Python · +39 stars measured 2026-10-29, 00:02–00:44 UTC, ≈ 1,375 by evening A lifelong personalized AI tutor with long-term memory: builds learning paths, reads documents and books, and runs practice and assessments via a multi-agent system and RAG. Full card: https://gitnova.dev/en/r/HKUDS/DeepTutor.md 2. **anonnerdfrenzy/survival-llm** — 7.7 · Early signal · AI agents · Python · +5 stars measured 2026-10-29, 00:02–00:44 UTC, ≈ 350 by evening A local offline LLM assistant with a library of ~1.5M survival, medical and how-to articles; every answer cites the exact source passage. Full card: https://gitnova.dev/en/r/anonnerdfrenzy/survival-llm.md 3. **CopilotKit/OpenDuet** — 7.6 · Early signal · AI agents · TypeScript · +14 stars measured 2026-10-29, 00:02–00:44 UTC, ≈ 598 by evening A self-hosted proactive AI agent built on OpenBot and CopilotKit: it starts work on its own, runs in its own browser, and asks for approval before acting. Full card: https://gitnova.dev/en/r/CopilotKit/OpenDuet.md 4. **elayadesign/ai-design-skills** — 7.5 · Breakout · AI agents · +29 stars measured 2026-10-29, 00:02–00:44 UTC, ≈ 1,103 by evening A collection of markdown-based design skills for AI coding tools like Claude Code, Cursor, Codex and Windsurf, covering landing page design and turning static designs into animated showcases. Full card: https://gitnova.dev/en/r/elayadesign/ai-design-skills.md 5. **unclebob/ub-mode** — 7.3 · Breakout · AI agents · +26 stars measured 2026-10-29, 00:02–00:44 UTC, ≈ 941 by evening An agent skill that enforces disciplined software engineering practices when writing or changing code: TDD, root-cause fixes, behavior testing, and quality gates via mutation testing. Installed as SKILL.md into the agent's skills directory. Full card: https://gitnova.dev/en/r/unclebob/ub-mode.md --- Magnitude (0–10) measures how fast and how unusually interest in a repository is growing right now. It is not a quality score. Days are UTC. “So far today” is a fact; “expected by the end of the day” is a forecast. Summaries and use cases are written by an LLM (DeepSeek V4.1 Flash) from the README and may be inaccurate: verify specific claims (benchmarks, speed, hardware) in the repository itself. Data as of 2026-10-29 00:56 UTC, updated every 30 minutes.