Org Ai Force
БесплатноНе проверенEnterprise Angular 21 AI agent workspace with NestJS orchestrator, RAG, MCP tools, SSE streaming, Playwright workers, admin console, and internal pilot workflow
Описание
Enterprise Angular 21 AI agent workspace with NestJS orchestrator, RAG, MCP tools, SSE streaming, Playwright workers, admin console, and internal pilot workflows.
README
Enterprise Angular 21 agent workspace prototype with a NestJS orchestrator, admin-governed tools, RAG-ready services, MCP-style integrations, SSE streaming hooks, Playwright/browser workers, and internal pilot operations.
This repo is a prototype and architecture proof project, not a claim of production enterprise adoption. It is designed to show how an internal AI agent workspace could be structured across frontend, backend, admin governance, and pilot rollout concerns.
What Is Implemented Vs Mock Vs Planned
Implemented
- Angular 21 workspace shell with routes for agents, admin, pilot, ops, logs, readiness, and debug tools
- NestJS server modules for auth, agents, tools, RAG, connectors, pilot ops, observability, and browser workers
- role and permission guards for the frontend and backend
- Docker and Docker Compose setup for a local or pilot-style environment
- Prisma schemas for SQLite and PostgreSQL-oriented deployment paths
- mock-safe workspace behavior for agent sessions, artifacts, tool events, approvals, and test-worker style flows
Mock Or Demo-Safe
- many agent responses and runtime events in frontend demo mode
- demo tools, demo workflows, demo approvals, and pilot feedback seed data
- browser and Playwright worker experience when used as a safe prototype path
- some admin and pilot dashboard content when running without a fully wired backend stack
Planned Or Still Maturing
- deeper production-grade provider integration and hardening
- fuller RAG citation and retrieval UX
- richer evaluation dashboards and agent scorecards
- multi-tenant controls and broader connector coverage
- stronger production observability and automated validation coverage
Architecture
flowchart LR
User["Internal user"] --> Frontend["Angular 21 workspace"]
Frontend --> Agents["Agent workspace routes"]
Frontend --> Admin["Admin console"]
Frontend --> Pilot["Pilot hub"]
Frontend --> Ops["Ops and readiness views"]
Frontend --> Api["NestJS orchestrator API"]
Api --> Auth["Auth and RBAC"]
Api --> Orchestrator["Agent orchestration"]
Api --> RAG["RAG and context layer"]
Api --> Tools["Tool registry and approvals"]
Api --> MCP["MCP-style integrations"]
Api --> Browser["Browser and Playwright workers"]
Api --> Observability["Metrics, readiness, logs"]
Api --> Data["Prisma with SQLite or PostgreSQL"]
Local Docker Quick Start
- Copy the environment template:
cp .env.docker.example .env
Set required values in
.env, especially secrets such asPOSTGRES_PASSWORD, JWT values, and provider keys when needed.Start the stack:
docker compose up --build
- Open the frontend:
http://localhost:8080
Use local development instead if you want to run frontend and backend separately.
Local Development
Frontend:
npm install
npm start
Backend:
cd server
npm install
npm run build
npm run start:dev
Demo Routes
/login/dashboard/agents/agents/:slug/admin/pilot/pilot/metrics/pilot/readiness/agent-readiness/ops/mcp-debug/internal-tools-debug/browser-test-debug
Demo Surfaces
- agent workspace with chat, artifacts, approvals, tool window, and runtime events
- admin overview with visible mock tools, workflows, approvals, and platform summary
- pilot hub with rollout guidance, feedback loops, and readiness framing
- readiness report showing priority-agent status
Screenshots
Available assets:
docs/assets/screenshots/workspace.pngdocs/assets/screenshots/admin-dashboard.pngdocs/assets/screenshots/pilot-hub.pngdocs/assets/screenshots/readiness-report.pngdocs/assets/screenshots/tool-execution-timeline.pngdocs/assets/screenshots/org-ai-force-demo.gif
Capture guidance:
Security Model
- no secrets should be committed to the repo
- admin and debug routes are permission-gated
- tool execution and approvals are treated as governed flows
- mock mode exists for safe demoing when live systems are unavailable
- Docker and environment templates are examples, not a substitute for real vaulting, HTTPS, or production secret handling
Start with:
Documentation
- System architecture
- Agent orchestration
- RAG and tool layer
- Admin console
- Pilot rollout
- Security model
- Observability
- Recruiter review guide
Recruiter Review
For the fastest walkthrough, use:
Validation Commands
Frontend:
npm run build
npm run typecheck
Backend:
cd server
npm run build
npm run typecheck
Docker:
docker compose config
Установка Org Ai Force
У этого сервера нет опубликованного пакета — он собирается из исходников. Открой репозиторий и следуй инструкции в README.
▸ github.com/AnkitParekh007/org-ai-forceFAQ
Org Ai Force MCP бесплатный?
Да, Org Ai Force MCP бесплатный — установка в пару кликов через Unyly без оплаты.
Нужен ли API-ключ для Org Ai Force?
Нет, Org Ai Force работает без API-ключей и переменных окружения.
Org Ai Force — hosted или self-hosted?
Self-hosted: сервер запускается локально на твоей машине командой из раздела установки.
Как установить Org Ai Force в Claude Desktop, Claude Code или Cursor?
Открой Org Ai Force на unyly.org, выбери вкладку своего клиента (Claude Desktop, Claude Code, Cursor) и нажми Install — конфиг сгенерируется автоматически, без правки JSON.
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