# amiya-special/Dynaflow > Research codebase for learning free-form multi-agent orchestration, letting a main model either answer directly or build and run agent workflows with subagents and tools. Supports direct, dynamic and forced modes via an OpenAI-compatible API. - Magnitude: 5.1 out of 10 — Early signal - Stars: 113 total · +2 stars measured 2026-10-28, 05:41–07:47 UTC, ≈ 50 by evening - Star trust: star growth looks organic - Category: AI agents · Language: Python · License: MIT · Created: 2026-10-22 · Last push: 2026-10-27 - GitHub: https://github.com/amiya-special/Dynaflow · Homepage: https://arxiv.org/abs/2610.34467 · Page: https://gitnova.dev/en/r/amiya-special/Dynaflow ## Useful for - Run the demo in dynamic mode to compare direct answers with model-generated workflows. - Evaluate token usage and answers across direct, dynamic and forced modes on your own questions. - Build a Docker-based workflow runtime to execute tool calls from generated agent workflows. ## Why it’s here - Star-counter measurements on 2026-10-28 (UTC), 05:41–07:47: 111 → 113 stars (+2). This is the change over that interval. - Estimated end-of-day forecast: about +50 stars, using observed gains and the previous day. - The repository is 6 days old and already has 113 stars. With less than two weeks of history, there's no usual pace to compare the spike against yet. - Top new repositories this week: #198. - About 19 forks a day — people are taking the code. ## 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: 13 - Issues and pull requests: 2 - Watchers: 10 - Average over the last week: 23 per day - Usual pace: too little history (under two weeks) - Stars in the last hour (measured): 1 ## Stars per day, last 7 days (oldest → newest, today is partial) 2026-10-22 … 2026-10-28: 1, 0, 0, 0, 6, 105, 2 ## Spotted in now - Top new repositories this week: #198 ## More in this category 1. **HKUDS/DeepTutor** — 9.1 · Breakout · AI agents · Python · +876 stars measured 2026-10-28, 00:01–07:46 UTC, ≈ 2,466 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. **elayadesign/ai-design-skills** — 8.8 · Breakout · AI agents · +829 stars measured 2026-10-28, 00:01–07:46 UTC, ≈ 2,184 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 3. **unclebob/ub-mode** — 8.3 · Breakout · AI agents · +643 stars measured 2026-10-28, 00:02–07:46 UTC, ≈ 1,906 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 4. **nightly-labs/openbot** — 8.3 · Breakout · AI agents · TypeScript · +312 stars measured 2026-10-28, 00:02–07:46 UTC, ≈ 963 by evening A local-first desktop workspace for persistent AI teammates: each agent (Codex, Claude, Grok, and others) gets its own workspace, task queues, file sharing, an embedded browser, and agent-to-agent messaging. Full card: https://gitnova.dev/en/r/nightly-labs/openbot.md 5. **CopilotKit/OpenDuet** — 7.8 · Early signal · AI agents · TypeScript · +300 stars measured 2026-10-28, 00:02–07:46 UTC, ≈ 815 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 --- 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 2026-10-28 07:58 UTC, updated every 30 minutes.