8 min read
Mastra vs LangGraph.js: TypeScript Agent Frameworks Compared
Both Mastra and LangGraph.js are serious TypeScript agent frameworks - but they start from opposite philosophies. Here is what that means for your next project.
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AI AGENTS
424 articles - page 28 of 36
9 min read
OpenAI Agents SDK vs Claude Agent SDK: Building Agents on the Two Big Platforms
OpenAI Agents SDK vs Claude Agent SDK compared - handoffs vs subagents, guardrails vs hooks, sandboxing, MCP support and how to choose a platform for your team.
10 min read
The TypeScript AI Agent Stack in Mid-2026: Mastra vs Vercel AI SDK vs OpenAI Agents SDK vs LangGraph.js
The TypeScript AI agent stack compared - Mastra, Vercel AI SDK, OpenAI Agents SDK and LangGraph.js, which layer each covers, and how to pick or combine them.
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8 min read
Vercel AI SDK 6 vs LangGraph 1.0: Which Agent Framework Should TypeScript Teams Use?
Vercel AI SDK 6 vs LangGraph 1.0 for TypeScript agents - ToolLoopAgent versus durable state graphs, and how to choose the right framework for your team.
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8 min read
Goose: The Open Source AI Agent With 70+ MCP Extensions
Goose is an open-source Rust AI agent with a desktop app, CLI, and API that works across 15+ LLM providers and 70+ MCP extensions. Here is where it fits.
8 min read
Harness Engineering Makes Tokens a Systems Budget
Harness engineering turns tokens into a systems budget. OpenAI's Codex post and Tokenomics research say agent teams need budgets, receipts, and eval loops.
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8 min read
Headroom: Compress Agent Tool Output Before It Reaches the LLM
Headroom compresses AI agent tool outputs, logs, and files before they reach the LLM, claiming 60-95% token savings with benchmarked accuracy. How it works.
9 min read
Security Agents Need Repro Harnesses, Not More Scan Prompts
Anthropic's open-source vulnerability harness shows AI security agents need reproducible exploit loops, separate verification agents, and patch receipts.
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9 min read
AI Agent Containment Needs a Capability Ledger
Anthropic's Claude containment writeup points to the next security layer for coding agents: deterministic capability ledgers, not another approval prompt.
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8 min read
AI Agent Memory Needs a Context Ledger
AI agent memory works best as a context ledger: source-linked, scoped, expiring memory that agents can inspect and users can audit, not magic recall.
8 min read
Spreadsheet Agents Need Permission Ledgers
The ChatGPT for Google Sheets exfiltration report shows spreadsheet agents need permission ledgers: action-scoped, logged, revocable, and visible permissions.
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8 min read
Domain Expertise Is the New Agentic Coding Moat
Domain expertise is the agentic coding moat only when it becomes executable: examples, tests, DSLs, and review gates that turn tacit judgment into checks.
Showing 325-336 of 423 articles
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