Agentic frameworks: they promised a revolution, what remains in 2026
Summary
This piece reviews the state of agent frameworks in 2026 and asks what remains of the earlier hype. It focuses on tools such as LangChain, AutoGen, CrewAI, LlamaIndex, Haystack, SuperAGI, and AgentGPT, and compares their current roles in building LLM-based applications. The article argues that many teams now prefer simple custom orchestration for straightforward use cases, while frameworks like LangGraph and LlamaIndex still matter for complex workflows, RAG, and structured agent control. It also highlights the growing importance of MCP as a connector layer for tools and local or cloud models. Overall, the article says the agent stack has become more practical, narrower, and more use-case driven.
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SaaS
Cloud Computing
Enterprise Software
Linked Companies
Microsoft
$1B+
SuperAGI
$1M to $5M
LangChain
$50M to $100M
deepset
$1M to $5M
CrewAI
$1M to $5M
LlamaIndex
$1M to $5M
Reworkd AI, Inc.
$1M to $5M