AI SaaS
🟢 Smarter AI 🟢
✅ AI Agents. SaaS.
DATABASE. STORAGE.
Supabase (recommended)
Neon
Turso
Cloudflare D1
pgvector-enabled by default on Postgres DBs
AI vector DB integrated out-of-the-box
Drizzle ORM
Postgres for real scale
Typed queries for safe changes
FULL RLS
Minio (i.e. 100% amazon S3-compatible object storage)
Any bucket
Secure files handling
CORE.
PHILOSOPHY.
Fast Development
AI Agents Framework
Innovative self-hosting
ArcJet Security
LIVE Project Updates
SCRUM SAFe ARTs
Auto-Updating LTS
Low upfront dev costs
Easy to customize
100% minimal code
100% tested code
100% SEO-friendly
Top-Notch YouTube Marketing (extra, please Contact Us)
🔥 myAgents.PLUS
myAgents+🔥 GREEN. AI. Datacenter.
Compliant LLM Gateway🔥 Your. Safety. First.
Take Back ControlOur Human Rights StatementOur Commitments
⛁ Why Supabase Cloud (our Postgres DB of choice)?
AI & Vectors
Best vector DB is the database we/you already have.
Supabase provides vector database capabilities. It is built on top of the robust PostgreSQL database and uses the open-source
pgvectorextension to enable storing, indexing, and querying vector embeddings alongside traditional relational data. Key FeaturesIntegrated Storage: You can store both your structured, relational data (like user info) and high-dimensional vector embeddings (for semantic search, recommendations, etc.) in a single, unified database.
Leverages PostgreSQL: This approach means you benefit from PostgreSQL's reliability, mature features, and the ability to combine traditional SQL queries with vector similarity searches (hybrid search).
pgvectorExtension: The core vector functionality comes from thepgvectorextension, which adds avectordata type to Postgres and supports efficient similarity search algorithms and indexing methods (like cosine, Euclidean, or inner product).AI Toolkit: Supabase offers a toolkit that simplifies working with vector data, including client libraries, database migrations, and integrations with popular AI providers and frameworks like OpenAI, Hugging Face, and LangChain.
Scalability Options: For very large datasets (millions of vectors), Supabase offers "Vector Buckets" which leverage durable object storage (like S3) with built-in similarity search, providing a scalable solution without overwhelming your primary database.
In essence, Supabase transforms a traditional relational database into a fully capable vector database, offering a compelling alternative to specialized, standalone vector databases like Pinecone or Weaviate for many use cases. Learn more at Supabase Vector Database documentation.
🤖 AI Agents Integrations
Innovative AI API for multiple AI cloud models
Innovative AI API gateway
Opensource models ONLY
Tools, Network, History, Memory, State, Deployments
Networks: define individual agents in networks, each with specific tools and goals (e.g. network: a search agent, a summarizer agent)
Orchestration: central router within the network directs the flow, deciding which agent to call next based on the shared state
State Sharing: Agents collaborate by using and updating a common state, passing information between them
Key Benefits
Deterministic Routing: More control over execution flow
Reliability: Fault-tolerant orchestration
Scalability: Handles complex workflows and multiple model providers
Integration: fault tolerance, observability, retries, and concurrency for agent networks, making them production-ready
Use Case e.g.
A vacation planner network where one agent finds flights
another finds hotels
a third synthesizes the information into a complete itinerary
all within one cohesive system
...see more!
⚙️ Convex | Fullstack SaaS or Internal Apps
If you want us to use Convex as the BaaS, we use our AI app builder that knows this backend very well.
We can build ANY type of app you can imagine
SaaS, stand-alone tool deployed as PWA & Mobile
By applying Convex primitives directly to your code generation, your apps are automatically equipped with optimal backend patterns and best practices.
Your full-stack apps come with a built-in database, zero config auth, file uploads, real-time UIs, and background workflows.
Our capabilities are enabled by being built on top of Convex, the open-source reactive database designed to make life easy for web app developers.
The “magic” is just the fact that it's using Convex's APIs, which are an ideal fit for Human-in-the-Loop (HITL) AI codegen.
✅ 100%. Production. Ready.
⚠️ Call BEFORE. Ordering.
✅ Ready to Order?
Typical Build Plan = 8 Weeks
...anything under this usually does NOT work
Please Book-a-Call BEFORE ordering
➡️ Phase 1: Build Core SaaS Scaffold
Frontend: Tanstack AI SaaS core app: $799, 1 week
Backend: TS/Node.js or python: $799, 1 week
➡️ Phase 2: Flow + Orchestration Setup
Middle-tier: Flow & Orchestration: $799, 1 week
➡️ Phase 3: Build AI Scaffold + Integrate with SaaS
AI Agents integrations Step 1*: custom AI tools: $799, 1 week
➡️ Phase 4: Build AI Scaffold + Integrate with SaaS
AI Agents integrations Step 2*: custom AI API tools: $799, 1 week
AI Agents integrations Step 3*: custom AI A2A tools: $799, 1 week
AI Agents integrations Step 4*: custom AI MCP tools: $799, 1 week
➡️ Phase 5: Complete AI SaaS App. Yours!
LIVE secured MCP & API Portal & API Docs: custom tools $799, 1 week
⚠️ NOTES:
Bug fixes (using GitHub PRs): approx. 1 week, FREE included
Your own Client Project Portal
*Please Note:
AI Agents Integrations Phases: are widely-varied as are APIs & tools.
It typically takes 4 phases to get this just right for any typical project of reasonable complexity and size.
Extra Changes: up to 3/app: $799, 1 week
➡️ Sample. See it. Try it!
myAgents+✅ Safe LLM Telemetry
Security+
We DO NOT allow LLM providers to use your data for model training and follow a strict zero data retention policy. To help improve our LLMs’ performance and capabilities, we optionally share limited fully de-identified data and always anonymous, filtered to remove sensitive information, and never used for third-party model training.
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