AI Agent Platform
The infrastructure layer under agentic systems: LangGraph (stateful graphs) + LiteLLM (one gateway to providers) + A2A protocol (agent-to-agent interop)
Founder, architect & solo developer
solo · solo
- Python
- LangGraph
- LiteLLM
- A2A
- FastAPI
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What doesn't work
Building agentic systems from scratch each time is expensive: your own state management, your own calls to each provider, your own inter-agent protocol. No reusable layer.
Architectural approach
A substrate platform: LangGraph provides stateful graphs for multi-step agents; LiteLLM unifies calls to Claude/GPT/DeepSeek/Gemini behind one interface; the A2A protocol standardizes inter-agent interaction. On top — a gateway with routing, tracing and cost control.
Founder, architect & solo developer
Designed and built a platform to compose and run LLM agents: LangGraph for stateful multi-step graphs, LiteLLM as a unified gateway across providers, Google's A2A protocol for agent-to-agent interop. Gateway + UI, per-agent routing, tracing and cost control.