R&D Workspace · Agent Development

Agent SDK Landscape

8 frameworks compared — docs quality, learning curve, model lock, and BFSI fit

Oct 2026
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Frameworks at a glance
Feature comparison
SDKVendorLanguagesVersion DocsModel LockMulti-Agent Human-in-LoopMCPBFSI Fit
Recommended learning path

learn agent development

For a presales architect in BFSI — 6–8 weeks to demo-ready agent competency

Step 1 · Start here

First agent in your stack

Claude Agent SDK

You're already in the Claude ecosystem via Claude Code. The SDK exposes the same agent loop — streaming, tool use, MCP, subagents — that powers Claude Code itself. Build a research or proposal-drafting agent that directly accelerates your presales workflow from week one.

Weeks 1–2
Step 2 · Multi-agent intuition

Build a role-based crew

CrewAI

Role-based crews map naturally to presales storytelling: a research agent, an analyst agent, a deck-writer agent. Fast to prototype, easy to demo to clients. The "researcher → analyst → writer" pattern is a strong presales demo narrative.

Weeks 3–4
Step 3 · Production & regulated

Stateful orchestration

LangGraph

The production standard your BFSI clients will ask about. Audit trails, state graphs, rollback, and human-in-the-loop approval flows are exactly what regulators want to see. Production at Klarna, LinkedIn, and Uber gives you credibility in sales conversations.

Month 2+
Sources
Best AI Agent SDKs Compared 2026 — requesty.ai · 8 SDKs + Claude Agent SDK — morphllm.com · Open-Source AI Agent Frameworks — Langfuse · Microsoft Agent Framework 1.0 — chatforest.com · AI Agent Frameworks Compared 2026 — agentmelt.com · OpenAI vs Claude Agent SDK — turion.ai · LangGraph vs CrewAI vs Pydantic AI 2026 — ecorpit.com · Best AI Agent Frameworks — LangChain