Org Ai Force
FreeNot checkedEnterprise Angular 21 AI agent workspace with NestJS orchestrator, RAG, MCP tools, SSE streaming, Playwright workers, admin console, and internal pilot workflow
About
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
Installing Org Ai Force
This server has no published package — it is built from source. Open the repository and follow its README.
▸ github.com/AnkitParekh007/org-ai-forceFAQ
Is Org Ai Force MCP free?
Yes, Org Ai Force MCP is free — one-click install via Unyly at no cost.
Does Org Ai Force need an API key?
No, Org Ai Force runs without API keys or environment variables.
Is Org Ai Force hosted or self-hosted?
Self-hosted: the server runs locally on your machine via the install command above.
How do I install Org Ai Force in Claude Desktop, Claude Code or Cursor?
Open Org Ai Force on unyly.org, pick your client tab (Claude Desktop, Claude Code, Cursor) and press Install — the config is generated automatically, no JSON editing.
Related MCPs
GitHub
PRs, issues, code search, CI status
by GitHubFilesystem
Secure file operations with configurable access controls.
Memory
Knowledge graph-based persistent memory system.
Template MCP Server
A CLI tool to create a new Model Context Protocol server project with TypeScript support, dual transport options, and an extensible structure
by mcpdotdirectCompare Org Ai Force with
Not sure what to pick?
Find your stack in 60 seconds
Author?
Embed badge for your README
Browse similar
All development MCPs
