CronusL-1141 / AI-company

English | 中文 AI Team OS Your AI coding tool stops when you stop prompting. Ours doesn't. --- AI Team OS turns Claude Code into a **self-driving AI company**. You're the Chairman. AI is the CEO. Set the vision — the system executes, learns, and evolves autonomously. --- The Problem With Every Other AI Tool Every AI coding assistant works the same way: you prompt, it responds, it stops. The moment you step away, work stops. You come back to a blank prompt. AI Team OS works differently. You walk away at night. The next morning you open your laptop and find: • The CEO checked the task wall, picked up the next highest-priority item, and shipped it • When it hit a blocker that needed your approval, it parked that thread and switched to a parallel workstream • R&D agents scanned three competitor frameworks and found a technique worth adopting • A brainstorming meeting was organized, 5 agents debated 4 proposals, and the best one was put on the task wall You didn't prompt any of that. The system just ran. --- How It Works **You're the Chairman. The AI Leader is the CEO.** The CEO doesn't wait for instructions. It checks the task wall, picks the highest-priority item, assigns the right specialist Agent, and drives execution. When blocked, it switches workstreams. When all planned work is done, R&D agents activate — scanning for new technologies, organizing brainstorming meetings, and feeding improvements back into the system. Every failure makes the system smarter. "Failure Alchemy" extracts defensive rules, generates training cases for future Agents, and submits improvement proposals — the system develops antibodies against its own mistakes. --- Core Capabilities • Autonomous Operation The CEO never idles. It continuously advances work based on task wall priorities: • Checks the task wall for next highest-priority item when a task completes • When blocked on something requiring your approval, parks that thread and switches to parallel workstreams • Batches all strategic questions and reports them when you return — no interruptions for tactical decisions • Deadlock detection: if the loop stalls, it surfaces the blocker rather than spinning • Self-Improvement The system doesn't just execute — it evolves: • **R&D cycle**: Research agents scan competitors, new frameworks, and community tools. Findings go to brainstorming meetings where agents challenge each other. Conclusions become implementation plans on the task wall. • **Failure Alchemy**: Every failed task triggers root cause extraction, classification, and three outputs: • *Antibody* — failure stored in team memory to prevent the same mistake • *Vaccine* — high-frequency failure patterns converted into pre-task warnings • *Catalyst* — analysis injected into Agent system prompts to improve future execution • Team Collaboration Not a single Agent. A structured organization: • **26 professional Agent templates** with recommendation engine — Engineering, Testing, Research, Management — ready out of the box • **8 structured meeting templates** with keyword-based auto-select, built on Six Thinking Hats, DACI, and Design Sprint methodologies • **Department grouping** — Engineering / QA / Research with cross-team coordination • Every meeting produces actionable conclusions. "We discussed but didn't decide" is not an outcome. • Full Transparency Nothing is a black box: • **Decision Cockpit**: event stream + decision timeline + intent inspection — every decision has a traceable record • **Activity Tracking**: real-time status of every Agent and what it's working on • **What-If Analyzer**: compare multiple approaches before committing, with path simulation and recommendations • Workflow Pipeline Orchestration Every task follows a structured, enforced workflow — no more ad-hoc execution: • **7 pipeline templates**: (Research→Design→Implement→Review→Test→Deploy), , , , , , • **Auto-attach via **: pass to and the pipeline mounts automatically • **Progressive enforcement**: hook detects tasks without pipelines — soft reminder → strong reminder → hard block ( ) on third occurrence • **Auto phase progression**: each stage recommends the right Agent template; moves to next stage automatically • **Lightest escape hatch**: (Implement→Test only) for truly trivial changes • Safety & Behavioral Enforcement Built-in guardrails so the system can run unsupervised without surprises: • **Local agent blocking**: all non-readonly agents must declare / — prevents rogue background agents • **S1 safety rules**: regex-based scan catches destructive commands (rm -rf, force push, hardcoded secrets) including uppercase flags and heredoc patterns • **4-layer defense rule system**: 48+ rules covering workflow, delegation, session, and safety layers • ** 3-layer progressive discovery**: quick recommend → category browse → full detail, reducing tool-call overhead • ** API**: programmatic partial update of tasks with auto timestamps, enabling fine-grained task state management • Zero Extra Cost Runs entirely within your existing Claude Code subscription: • No external API calls, no extra token spend • MCP tools, hooks, and Agent templates are all local • 100% utilization of your CC plan --- It Built Itself AI Team OS managed its own development: • Organized 5 innovation brainstorming meetings with multi-agent debate • Conducted competitive analysis across CrewAI, AutoGen, LangGraph, and Devin • Shipped 67 tasks across 5 major innovation features • Generated 14 design documents totaling 10,000+ lines The system that builds your projects... built itself. --- How It Compares | Dimension | AI Team OS | CrewAI | AutoGen | LangGraph | Devin | |-----------|-----------|--------|---------|-----------|-------| | **Category** | CC Enhancement OS | Standalone Framework | Standalone Framework | Workflow Engine | Standalone AI Engineer | | **Integration** | MCP Protocol into CC | Independent Python | Independent Python | Independent Python | SaaS Product | | **Autonom…