FastAgentic is the deployment layer for agentic applications. Wrap agents built in PydanticAI, LangGraph, CrewAI, or LangChain and serve them as REST + MCP + A2A endpoints with built-in auth, checkpoints, cost tracking, and observability.https://fastagentic.neullabs.com/https://fastagentic.neullabs.com/guides/deploying-langgraph-to-production/https://fastagentic.neullabs.com/guides/deploying-langgraph-to-production/A practical, opinionated guide to taking a LangGraph pipeline from notebook to production: durable checkpoints, streaming, cost caps, and resumption after crashes.Sun, 12 Apr 2026 00:00:00 GMTlanggraphproductioncheckpointsdeploymenthttps://fastagentic.neullabs.com/guides/agent-cost-control-patterns/https://fastagentic.neullabs.com/guides/agent-cost-control-patterns/Concrete patterns for keeping LLM spend predictable in a multi-tenant agent platform — budgets, per-step caps, model routing, and the hard cut-off that saves the weekend.Sun, 12 Apr 2026 00:00:00 GMTcostgovernancemulti-tenantbudgetshttps://fastagentic.neullabs.com/guides/mcp-server-from-your-fastapi-app/https://fastagentic.neullabs.com/guides/mcp-server-from-your-fastapi-app/Expose your internal APIs and agents as Model Context Protocol tools that Claude, Cursor, Zed, and other MCP clients can call — without writing a separate server.Sun, 12 Apr 2026 00:00:00 GMTmcpfastapiclaudetoolshttps://fastagentic.neullabs.com/compare/vs-bentoml-for-agents/https://fastagentic.neullabs.com/compare/vs-bentoml-for-agents/BentoML is the gold standard for shipping classic ML models. But agents aren't models — they're stateful, multi-step, streaming, and protocol-diverse. Here's where the classic ML-serving toolchain stops fitting.Sun, 12 Apr 2026 00:00:00 GMTbentomlcomparisondeploymentml-servinghttps://fastagentic.neullabs.com/compare/vs-langserve/https://fastagentic.neullabs.com/compare/vs-langserve/LangServe solved a 2023 problem well. FastAgentic solves the 2026 problem: multi-framework, multi-protocol, durable, governed agent services — without locking you to LangChain.Sun, 12 Apr 2026 00:00:00 GMTlangservelangchaincomparisondeploymenthttps://fastagentic.neullabs.com/compare/vs-pydanticai-standalone/https://fastagentic.neullabs.com/compare/vs-pydanticai-standalone/PydanticAI is the best agent authoring API in Python. It's also deliberately not a deployment platform. Here's what you still have to build yourself — and what FastAgentic gives you for free.Sun, 12 Apr 2026 00:00:00 GMTpydanticaicomparisondeploymenthttps://fastagentic.neullabs.com/compare/vs-raw-fastapi/https://fastagentic.neullabs.com/compare/vs-raw-fastapi/You already know FastAPI. Here's exactly what FastAgentic adds on top — and the 500+ lines of boilerplate it saves you from writing every time you ship an agent.Sun, 12 Apr 2026 00:00:00 GMTfastapicomparisondeploymenthttps://fastagentic.neullabs.com/articles/what-is-agentic-deployment/https://fastagentic.neullabs.com/articles/what-is-agentic-deployment/A precise definition of agentic deployment — why it's different from classic API deployment and classic ML model serving, and why existing toolchains don't fit.Wed, 01 Apr 2026 00:00:00 GMTagenticdeploymentcategory-definitioninfrastructurehttps://fastagentic.neullabs.com/articles/rest-mcp-a2a-schema-parity/https://fastagentic.neullabs.com/articles/rest-mcp-a2a-schema-parity/Why we think REST, MCP, and A2A schema parity is non-negotiable for the next generation of agent platforms — and what breaks when you try to maintain three separate definitions.Fri, 20 Mar 2026 00:00:00 GMTmcpa2aprotocolsschemasarchitecturehttps://fastagentic.neullabs.com/articles/hiring-fastapi-langgraph-experts/https://fastagentic.neullabs.com/articles/hiring-fastapi-langgraph-experts/A field guide for engineering leaders trying to hire or contract senior Python agent-platform engineers — the skills, the red flags, and where to find them.Thu, 05 Mar 2026 00:00:00 GMThiringfastapilanggraphconsulting