Build autonomous AI agents that reason, use tools, and accomplish complex tasks.
Fan-out/fan-in DAG scheduling cuts agent wall-clock time 36-50%, and LLMCompiler plus PASTE speculative execution reach 1.8x-3.7x. The patterns and pitfalls.
Zep's Graphiti scores 63.8% on LongMemEval vs Mem0's 49.0%. How Mem0, Zep, Letta, and Cognee differ on persistence, temporal reasoning, and compliance.
Tool results can hit 81% of an agent's context. Trigger compaction at 70-80% capacity, offload big outputs to disk, and stop context_length_exceeded crashes.
Durable execution keeps agents alive through crashes, retries, and approval gates. Temporal vs Inngest vs Restate on payload limits, pricing, and determinism.
Tool-call accuracy collapses to ~13% near random at 100+ tools. Fix agent tool selection with two-phase search-then-load and RAG-MCP retrieval (~86% accuracy).
Vapi runs $0.05-0.13/min but $0.23-0.33 BYOK; Retell is flat $0.07 with HIPAA. The real cut is the 300ms latency budget and your monthly minutes.
We rebuilt a LangGraph TS agent in Mastra in 18 hours instead of 41. Here's why TypeScript shops are leaving LangGraph and Vercel AI SDK in 2026.
Microsoft Agent Framework 1.0 (Apr 3 2026) merges Semantic Kernel and AutoGen. Google ADK keeps explicit graphs. smolagents writes Python. Here's how to pick.
Princeton's Feb 2026 study: agent accuracy climbed 7x since 2023, reliability barely moved. Here's why consistency@10 and p95 task success matter more than pass@1.
