AGENT FRAMEWORKS

Ten agent frameworks, one decision guide: a capability matrix built from official docs and a flowchart that picks by language, durability and team.

LangChain 1.4 and LangGraph 1.2: per-call approvals, MCP, node timeouts and DeltaChannel, now with 100-update snapshots and Decisions-based routing in JS.

LlamaIndex in late 2026: Python Workflows 2.26 with typed events, human-in-the-loop and DBOS durability, plus LiteParse. LlamaIndex.TS is deprecated.

Microsoft Agent Framework is at Python 1.23 and .NET 1.25: MCP 2.x, explicit AG-UI auth, Harness agents, functional workflows, and the AutoGen migration.

Vercel AI SDK is at 7.0.154: an interrupted finish reason, steering and onStepError, plus 10 harness adapters, tool search, streamRetries and WebSocket chat.

Vercel AI SDK 7 for production agents: typed tool context, WorkflowAgent durability, approvals, telemetry, realtime and the AI SDK 6 migration path.

Microsoft Agent Framework unifies AutoGen and Semantic Kernel in one SDK: architecture, installation, migration, pricing, and when to pick it over LangGraph.

Vercel eve is an open-source agent framework billed as Next.js for agents. Define an agent as files and get durable execution, sandboxes and evals built in.

Mastra fits TypeScript products whose agents need workflows, memory, tools, MCP, evals, and traces in one backend layer. Where it fits and where it does not.

A practical field note on where Mastra, CopilotKit, and LangGraph fit when you are building the same agent-native product interface.

Which AI coding changes matter: a layer-by-layer filter for model, IDE, CLI, background agent, framework, UI, context, security, and pricing updates.

The AI coding stack I would pick today: terminal agent, editor, background agent, Mastra, CopilotKit, MCP, context, security, and cost controls as layers.

State of AI coding in May 2026: control planes, UI-agent contracts, durable TypeScript workflows, usage economics, and runtime security beat leaderboards.

CopilotKit works best as the agent UI layer, not the agent framework: chat surfaces, frontend tools, shared state, generative UI, and human approval.

Flue, the agent harness framework from Fred K Schott, compared with OpenAI Agents, Vercel AI SDK, LangChain, CrewAI and more, plus production patterns.

Deep comparison of the top AI agent frameworks - LangGraph, CrewAI, Mastra, CopilotKit, AutoGen, and Claude Code.