I'm Swapnil, and I've been building AI agents for the past year. After the 10th time setting up the same infrastructure (Kubernetes, LLM routing, secrets management, monitoring), my co-founder and I decided to build the platform we wished existed.
Phinite is a developer-first platform for building, deploying, and orchestrating AI agents.
*Core features:*
- FlowGen Studio: Visual workflow builder for agent orchestration (think n8n meets LangChain)
- Developer Studio: Full IDE for custom tools with AI copilot assistance
- One-click deployments to managed Kubernetes
- Multi-environment support (DEV/UAT/PROD) with secrets management
- 50+ pre-built integrations (Slack, JIRA, Salesforce, etc.)
- Built-in observability and cost tracking
*Technical architecture:*
- Cloud-agnostic (AWS, GCP, Azure, or on-prem K8s)
- Auto-scaling pod orchestration
- Microservices architecture with service mesh
- WebAssembly-based runtime for tool execution
- Vector DB integration for RAG workflows
*Why we built it:*
Most AI agent frameworks are either too low-level (write everything in Python) or too constrained (no-code boxes that break when you need custom logic). We wanted something that works for both the "I need this done in 5 minutes" and "I need full control" use cases.
*Pricing:*
- $10 free credits (no credit card)
- Pay-as-you-go: $20 base + usage-based pricing
- Self-hosted option coming soon
*What we're looking for:*
- Feedback on the developer experience
- Performance benchmarks vs. self-hosted solutions
- Use cases you'd build (or wouldn't build, and why)
- Technical deep-dives you'd like to see
We're currently in UAT with 100+ beta testers and opening to the public today.
I'm Swapnil, and I've been building AI agents for the past year. After the 10th time setting up the same infrastructure (Kubernetes, LLM routing, secrets management, monitoring), my co-founder and I decided to build the platform we wished existed.
Phinite is a developer-first platform for building, deploying, and orchestrating AI agents.
*Core features:*
- FlowGen Studio: Visual workflow builder for agent orchestration (think n8n meets LangChain) - Developer Studio: Full IDE for custom tools with AI copilot assistance - One-click deployments to managed Kubernetes - Multi-environment support (DEV/UAT/PROD) with secrets management - 50+ pre-built integrations (Slack, JIRA, Salesforce, etc.) - Built-in observability and cost tracking
*Technical architecture:*
- Cloud-agnostic (AWS, GCP, Azure, or on-prem K8s) - Auto-scaling pod orchestration - Microservices architecture with service mesh - WebAssembly-based runtime for tool execution - Vector DB integration for RAG workflows
*Why we built it:*
Most AI agent frameworks are either too low-level (write everything in Python) or too constrained (no-code boxes that break when you need custom logic). We wanted something that works for both the "I need this done in 5 minutes" and "I need full control" use cases.
*Pricing:*
- $10 free credits (no credit card) - Pay-as-you-go: $20 base + usage-based pricing - Self-hosted option coming soon
*What we're looking for:*
- Feedback on the developer experience - Performance benchmarks vs. self-hosted solutions - Use cases you'd build (or wouldn't build, and why) - Technical deep-dives you'd like to see
We're currently in UAT with 100+ beta testers and opening to the public today.