
MCP vs Function Calling: Which Tool Integration to Use
MCP vs function calling for AI agents: they solve different layers of the same problem. When to use each, how they compose, and the token-cost trade-off.
ReadInsights on AI agents, model routing, and building production-ready AI systems.

MCP vs function calling for AI agents: they solve different layers of the same problem. When to use each, how they compose, and the token-cost trade-off.
Read
Compare the three agent memory architectures in 2026 — vector recall, knowledge graphs, and episodic buffers — with real latency numbers, failure modes, and a decision guide.
Read
Claude Code vs Codex vs OpenClaw compared for coding agents in 2026. Benchmark results, pricing, context handling, and which to pick for your codebase size.
Read
Step-by-step guide to connecting MCP servers to your AI agent. Setup, authentication, tool discovery, error handling, and production deployment patterns.
Read
How to build cron-driven AI agents that run autonomously on a schedule. Full Python code, cost analysis, retry logic, and production monitoring patterns.
Read
Deep comparison of Hermes Agent and OpenClaw for 2026. Architecture differences, self-improvement loops, deployment options, and when to choose each.
Read
How Hermes Agent self-improving loop works: architecture teardown, memory systems, evaluation cycles, and real-world performance data from production.
Read
Architecture teardown of OpenClaw: three-layer pipeline, code execution sandbox, memory system, and how it achieves top SWE-bench scores with diagrams.
Read
How to run one AI agent across Slack, Discord, and WhatsApp. Unified message handling, platform adapters, auth patterns, and deployment architecture.
Read