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Aurora

License: Zyvor Production v1.0 CI Python TypeScript

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Aurora — turn your technical product into an AI-powered salesperson

Point it at your docs. Get an AI salesperson.

Turn your technical product into an AI-powered salesperson. A multi-tenant SaaS platform where software companies onboard by providing a website or documentation. The platform automatically discovers the product, builds a searchable knowledge graph + RAG store, then runs AI marketing, sales, and solution agents.

11 specialized agents · 9-stage GTM pipeline · 6 publish channels · Ollama or OpenAI-compatible · Neo4j + Qdrant grounding


Why Aurora

When this happens… Aurora gives you…
Your product is technical and your sales team can't keep up with it Agents grounded in a knowledge graph (Neo4j) and RAG store (Qdrant) built from your own website, docs, GitHub and OpenAPI spec
Marketing, sales and pre-sales each paste product facts into a different tool One ingested knowledge base behind marketing strategy, content, sales chat, outreach, solution-architect Q&A and proposals
AI content goes out before anyone reads it Human approval on every artifact; publishing is refused until the current content is approved
Outreach reaches people who opted out A suppression list that blocks publish to suppressed recipients
Leadership asks "are we ready to sell this?" An Executive Brief with a 9-signal gtm_readiness status, computed without an LLM call
You can't send product data to a hosted model Ollama locally, or any OpenAI-compatible endpoint, switched by environment variables

Capabilities at a glance: Knowledge, Agents, Publish, Workspace


Aurora vs point AI tools

Aurora vs point AI tools: one knowledge base, every GTM agent

Aurora Point AI tools (docs chatbot + content tool + outreach tool)
Product knowledge Ingested once into a knowledge graph + RAG store Loaded separately into each tool
Agents 11 specialized agents behind one LangGraph supervisor One assistant per tool
Sources Website, docs, CSV, YouTube, GitHub, OpenAPI spec Varies per tool
Before publishing Approval tied to the artifact's content, plus a suppression list Each tool's own workflow
Channels Email, LinkedIn, X, Medium, dev.to, Reddit adapters One or a few per tool
Readiness view Executive Brief, 9 derived signals, no LLM call Assembled by hand
Model choice Ollama or OpenAI-compatible, per agent Set by each vendor
Choose point tools when You need only one channel, such as a chatbot on your docs site

See it live

Aurora marketing home — turn your product into an AI salesperson

Marketing home.

Aurora sign in — two-step email/password or SSO

Sign in: two-step email/password or SSO.

GTM workspace — product portfolio with onboarding, search, and ready/setup filters

GTM workspace: product portfolio with onboarding, search, and ready/setup filters.

Full Forge — the 9-stage GTM pipeline (Sources → Ingest → Strategy → … → Publish) with the run log dock

The 9-stage GTM pipeline (Sources → Ingest → Strategy → … → Publish) with the run log dock.

Executive Brief — accounts, qualified leads, conversations, and GTM readiness, computed without an LLM call

Executive Brief: accounts, qualified leads, conversations, and GTM readiness, computed without an LLM call.

Sales Action — Discover/Qualify/Outreach/Pipeline tabs for account discovery and CSV import

Sales Action: Discover / Qualify / Outreach / Pipeline tabs for account discovery and CSV import.

Admin — Workflow Stages, an Enterprise-plan feature for tenant-defined pipeline stages

Admin: Workflow Stages, an Enterprise-plan feature for tenant-defined pipeline stages.


How it fits together

Sources in, pipeline runs, agents sell

Customer Sources → Product Discovery → Knowledge Extraction → AI Knowledge Graph
                                                                    ↓
                    Marketing AI ← Supervisor → Sales AI → Solution AI
                                    ↓
                    Omnichannel Publishing → Analytics → Continuous Learning

Stack

Layer Technology
Frontend Next.js, React, Tailwind CSS
Backend FastAPI (Python)
Agents LangChain, LangGraph
LLM (dev) Ollama (--profile ollama) or OpenAI-compatible
LLM (lab / Zyvor-owned) OpenAI-compatible chat (e.g. Groq) via LLM_PROVIDER=openai
LLM (customer prod) OpenAI or your compatible gateway
Vector DB Qdrant
Knowledge Graph Neo4j
Relational DB PostgreSQL
Cache/Queue Redis
Object Storage MinIO

Repository

Path What's there
apps/web Next.js/React frontend — marketing site, dashboard, product workspace.
apps/api FastAPI backend — agents, knowledge graph/RAG, admin APIs.
apps/sales-crm Standalone Go lead/deal-pipeline CRM microservice — own SQLite DB, not wired to the platform pipeline.
docs/ Operator/developer docs — dev guide, licensing, LLM integration, SSO, test cases.
docs/customer/ Customer-facing docs: getting started, page-by-page guides, printable PDFs.
k8s/ K3s manifests for the standalone production deploy (HTTPS :30443).
infra/ Docker Compose stack, Keycloak realm, optional nginx TLS overlay.
scripts/ Remote/K8s deploy, demo-suite seeding, and docs/customer/ generation scripts.

The public docs site at zyvor.dev/aurora is synced from docs/customer/ via scripts/customer-docs/sync-to-website.mjs — edit the markdown here, not the live site.


Quickstart

Requires Docker Desktop running.

make start    # infra + DB + API + web (background)
# → http://localhost:3000  (web)
# → http://localhost:8000  (api)
# Sign in (2-step): [email protected] → Continue → Admin@321
make stop     # when done

Full install paths (containerized/production, remote K3s, sales CRM), demo logins, and a page-by-page nav table: QUICKSTART.md. Full local setup and troubleshooting: docs/dev-guide.md.

Which repo am I in?

You want to… Use
Non-production use (free under the Zyvor Production License) This repo — make start above
Production / commercial license https://zyvor.dev
Product marketing / schedule a demo zyvor.dev/aurora

This repository is licensed under the Zyvor Production License v1.0. Non-production use is free. Production use needs a commercial license.


Features

Knowledge & discovery

  • Onboard a product from a website, docs, CSV, YouTube, GitHub, or an OpenAPI spec — see docs/source-management.md.
  • Automatic knowledge graph (Neo4j) + RAG store (Qdrant) built from ingested sources, with grounded Q&A (POST /products/{id}/query).

AI sales & marketing agents

  • Marketing strategy and content generation, sales chat, personalized outreach (suppression-aware publish), solution-architect Q&A, and proposal generation — one LLM factory, swap Ollama ↔ OpenAI-compatible per agent. See docs/ollama-llm-integration.md.
  • 11 specialized agents behind a supervisor, lean-hardware-first design. See docs/multi-agent-composition-plan.md.
  • Campaign management and channel publishing across email, LinkedIn, X, Medium, dev.to, and Reddit adapters.

Workspace & admin

  • Persona-based default landing after login (exec / sales / marketing). See docs/role-based-landing.md.
  • Executive Brief with a 9-signal gtm_readiness status — computed without an LLM call on load.
  • Admin: plan/usage, suppression list, tenant data export, tenant purge, and Enterprise-plan custom workflow stages.
  • Customer / reseller / salesperson external portals.
  • Optional standalone Sales CRM microservice (apps/sales-crm) — Kanban pipeline, SLA timers, round-robin owners; independent of the built-in opportunities pipeline.
  • SSO/OIDC — bundled Keycloak demo IdP or bring your own IdP. See docs/sso-oidc.md.

LLM Providers

The platform supports both Ollama and OpenAI via a single factory. Switch with env vars only:

Setting Ollama (dev default) OpenAI (production)
LLM_PROVIDER ollama openai
Chat models Llama/Qwen/DeepSeek/Gemma per agent GPT-4o / GPT-4o-mini per agent
Embeddings nomic-embed-text (768d) text-embedding-3-small (1536d)
Cost Free (local compute) Pay-per-token

If OPENAI_API_KEY is set and LLM_PROVIDER is unset, OpenAI is auto-selected for backward compatibility.

Per-agent model routing:

Agent Ollama OpenAI
Product Understanding qwen2.5-coder:14b gpt-4o-mini
Marketing Strategy deepseek-r1:8b gpt-4o
Sales Chat llama3.1:8b gpt-4o-mini
Outreach gemma2:9b gpt-4o-mini
Solution Architect deepseek-r1:8b gpt-4o

Check provider status: GET /health

Full plan, architecture, unit tests, and integration test guide: docs/ollama-llm-integration.md

Test case document (223 tests): docs/test-cases.md

Multi-agent composition plan (11 specialized agents, lean hardware / persona-first): docs/multi-agent-composition-plan.md

API Endpoints

  • POST /api/v1/auth/register — Register tenant
  • POST /api/v1/products — Onboard product
  • POST /api/v1/products/{id}/sources — Add source
  • POST /api/v1/products/{id}/ingest — Trigger ingestion
  • GET /api/v1/products/{id}/profile — Product profile
  • POST /api/v1/products/{id}/query — Grounded Q&A
  • POST /api/v1/products/{id}/strategy — Generate GTM strategy
  • POST /api/v1/products/{id}/content — Generate content
  • POST /api/v1/products/{id}/chat — Sales agent chat
  • POST /api/v1/products/{id}/outreach — Personalized outreach (optional recipient_email for suppression-aware publish)
  • POST /api/v1/products/{id}/architect — Solution architect Q&A
  • POST /api/v1/products/{id}/proposals — Generate proposal
  • POST /api/v1/artifacts/{id}/approve — Approve/reject generated content
  • POST /api/v1/artifacts/{id}/publish — Publish to a channel (blocked if recipient is suppressed)
  • POST /api/v1/products/{id}/campaigns, GET .../campaigns, GET .../campaigns/{id}/status — Campaign management
  • GET /api/v1/products/{id}/opportunities/{opp_id} — Opportunity detail
  • GET /api/v1/products/{id}/account-health — Customer success account health
  • GET /api/v1/products/{id}/brief — Executive brief incl. gtm_readiness (9 derived, no-LLM status booleans — sources/ingest/profile/strategy/discover/qualify/outreach/proposal/publish)
  • GET /api/v1/products/{id}/workflow-runs — Recent/active WorkflowRuns for a product (powers the Workspace run-log dock)
  • GET /api/v1/agents/registry — Agent registry catalog
  • GET /api/v1/admin/plan — Plan + usage
  • GET/POST /api/v1/admin/suppression — Suppression list
  • GET /api/v1/admin/export — Tenant data export (admin only)
  • POST /api/v1/admin/purge — Tenant knowledge purge, typed-slug confirmation (admin only)
  • GET/POST/PUT/DELETE /api/v1/admin/workflow-stages — Tenant-defined custom Workspace stages (Enterprise plan only)

Design system

Light-first Apple.com-style system: Apple-blue primary (--primary #0071e3), Mist Blue / Sage / Lavender / Deep Blue accents, SF/system typography, and pill CTAs in apps/web/src/app/globals.css. Dark mode is a real, explicit opt-in (toggle lives only in the app-shell nav; marketing and portal auth stay light regardless of the visitor's OS preference or the toggle's stored state) via html.dark-theme (ThemeContext). One shared Card/Badge/StatGrid/Container primitive set backs cards, status pills, metric tiles, and page-width containers app-wide — legacy .glass* class names remain as thin aliases for the same flat Apple panels (hairline border, no decorative shadow by default); the earlier .tahoe-* glass-morphism direction has been fully removed.

Chrome: GlobalNav (mega-menu flyouts) sits on marketing (MarketingLayout), app (AppShell), product console (ProductConsoleShell), and portal auth pages. Marketing home is / (HomeSections); sign-up/sign-in live at /login with the same Apple-blue auth language as PortalAuthShell. New tenants get an OnboardingChecklist on /dashboard and Workspace until sources are ingested and an agent has run.

The product workspace (/products/[id]/*) keeps a left rail + top tab bar under that same GlobalNav, built around a derived 9-stage pipeline chain. See Frontend workspace.

Important boundaries

What's free under the Zyvor Production License vs. what needs a commercial license (full guide):

Use case Allowed without a paid license?
Development, testing, evaluation, research, education Yes
Non-production laboratory and proof-of-concept use Yes
Production environments and customer workloads No — needs a commercial license
SaaS, managed services, OEM, appliances No — needs a commercial license

apps/sales-crm and the platform's built-in opportunities pipeline are deliberately independent services — don't assume one implies the other.


Maturity

From the 12-phase implementation guide (status, acceptance criteria and test matrix):

Status Phases
Complete Multi-Agent Supervisor
MVP Product Understanding, Marketing Intelligence, Content Studio + HITL, Sales Agent + Chat Widget, Personalized Outreach, Omnichannel Publishing, Solution Architect, Proposal Generator, Analytics, Continuous Learning, Enterprise

Part of the Zyvor stack

Product Role next to Aurora
Aurora AI go-to-market platform: knowledge graph + RAG, marketing, sales and solution agents
Argus Autonomous QA; sits next to Aurora among the Zyvor AI products
Aether Runtime portability plane on the infrastructure side of the Zyvor stack (no Aurora integration)
Atlas Storage control plane on the infrastructure side of the Zyvor stack (no Aurora integration)

→ zyvor.dev


License

Aurora is source-available under the Zyvor Production License v1.0 (SPDX LicenseRef-Zyvor-Production-1.0).

  • Free for development, testing, evaluation, research, education, and non-production labs.
  • Production use (production, customer workloads, SaaS, managed services, OEM, and redistribution) requires an annual enterprise subscription. Plans, support levels and terms: docs/SUBSCRIPTION-MODEL.md · licensing guide · Pricing · [email protected].

Commercial terms: https://zyvor.dev.

Contributions: CONTRIBUTING.md. Report vulnerabilities privately per SECURITY.md.


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About

AI GTM agent platform — turn your technical product into an AI-powered salesperson

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