OOSDK — Ontology-Oriented Multi-Agent Platform

Business strategy as code. OOSDK drives a multi-agent system from a single ontology (ontology.yaml) that encodes a company's policies and decision rules. Change one line of policy and the agents' collaboration and branching change — no code redeploy. The ontology defines WHAT (policy/intent); the agents handle HOW (execution) — so routine decisions can be made deterministically by policy rather than by an LLM call.

The flagship of the SunnyLab build series. This is a sanitized public showcase — credentials, tokens, and infrastructure identifiers (GCP project, VM IP, Odoo tenant) were removed before publishing. Some modules require your own Odoo/Salesforce/GCP configuration to run end to end.

Core idea

ontology.yaml  (policy / strategy, human-editable)
        │   "WHAT to do, under which policy"
        ▼
Ontology Engine ── deterministic policy decisions ──►  Agents ("HOW", execution)
        │                                                 ├─ sales / crm / erp / inventory
        │                                                 ├─ cs / helpdesk / email / calendar
        └─ when needed: LLM reasoning + RAG               └─ analytics / report

• Policy-driven dispatch — many decisions need zero LLM calls (cost + determinism)
• Extensible by design — add a new domain agent on the same base; the ontology wires it in

Business Case (BC) series — end-to-end automation

A sales funnel automated across stages, integrating Salesforce (SFDC) and Odoo ERP:

• BC2 Sales — lead convert, pricing/quote
• BC3 Fulfillment — order → inventory → shipping, Odoo automation
• BC4 Inventory allocation — deterministic A/B/C priority + override
• BC5 Replenishment — autonomous purchase/replenishment with a manager briefing

Key capabilities

• Ontology engine that encodes business policy and drives multi-agent collaboration
• Multi-domain agents (sales, CRM, ERP, inventory, CS, helpdesk, email, calendar, analytics, report) over MCP / FastMCP
• Enterprise integration — SFDC + Odoo ERP adapters; RAG (ChromaDB); 3-tier memory (hot/warm/cold)
• Bilingual Streamlit dashboard (KR/EN) — decisions, inventory, ontology stats
• Cloud-native — Docker, Cloud Build, GitHub Actions (project/VM values are placeholders)

Tech stack

Python · MCP / FastMCP · Ontology-driven orchestration · Salesforce & Odoo ERP · ChromaDB (RAG) · Streamlit · Docker · Google Cloud · GitHub Actions

Project structure

ontology/            # ontology.yaml — business policy as code
mcp_server/          # ontology engine, domain agents, tools, adapters (SFDC/Odoo)
dashboard_modules/   # dashboard components
dashboard.py / dashboard_en.py   # Streamlit dashboards (KR/EN)
scripts/             # BC2-BC5 business-case demos & setup
docs/                # design notes / specs
tests/               # unit tests
.env.example         # required env vars (no real keys)

Setup

cp .env.example .env      # configure OpenAI/Google, Salesforce, Odoo (your own)
pip install -r requirements.txt
# run the MCP server (see mcp_server/) and a dashboard:
streamlit run dashboard.py

Note

Public portfolio showcase of an actively evolving project. For safety, all secrets/credentials and infra identifiers were stripped; external integrations (Odoo, Salesforce, GCP) require your own configuration. Architecture write-ups and demos: SunnyLab below.

---

SunnyLab — building agentic AI in public · Medium @sunnylabtv · YouTube @sunnylabtv