Agent Frameworks
Explore practical agent frameworks articles. Browse 21 hands-on guides for developers building production AI systems, architecture, and modern.
AWS Bedrock vs LangChain: Framework Comparison 2026
AWS Bedrock vs LangChain compared on deployment, pricing, and control. Choose the right framework for your AI agent architecture.
AWS AgentCore vs LangChain vs Alibaba AgentLoop Compared
Compare AWS Bedrock AgentCore, LangChain, and Alibaba AgentLoop for enterprise AI agents. Architecture, cost, and production trade-offs.
Agentic CRM: AI-First Customer Management (2026)
Agentic CRM lets AI agents manage customer workflows directly. Compare its architecture, deployment model, and open-source trade-offs.
Skills vs MCP: Which to Build for AI Agents
Compare Agent Skills and MCP — measured context cost, the 2026-07-28 stateless spec, and a decision rule for which one to build.
AWS Bedrock AgentCore Gateway vs Enterprise AI Gateways
AgentCore Gateway evaluation: compare AWS managed MCP integration, tool discovery, authentication, and deployment against self-hosted alternatives.
AI Agents That Know When Not to Guess: 2026 Guide
Build AI agents that abstain instead of hallucinate — confidence calibration, uncertainty gating, and abstention patterns for reliable agents.
Strands vs LangGraph: 2026 Agent SDK Comparison
Strands Agents vs LangGraph: model-driven agent loop vs graph-based state machine. Compare code size, checkpointing, approval gates and control trade-offs.
Ponytail: AI Agent that Thinks Like a Lazy Senior Dev
Ponytail makes AI agents write less code by asking can I reuse this first. Reuse-first architecture, lazy evaluation and context compression explained.
AI Agent Authorization: Don't Let the LLM Decide
Using an LLM to authorize agent actions duplicates your attack surface. Why deterministic policy engines like Cedar and OPA belong in the decision path.
Agent Memory: Permission vs Purpose Failure Modes
Permission to access memory isn't purpose. Why AI agents fail silently when memory systems grant access but lack task context.
Inside Hermes Agent: How Self-Improving Skills Work
How Hermes Agent turns finished sessions into reusable skills, using a background review agent, on-demand skill memory, and a four-layer memory system.
langchain-mcp-adapters: Fix ToolException Errors
Debug langchain-mcp-adapters ToolException errors fast. Causes, code fixes, and a checklist for connecting LangChain agents to MCP servers.
JS/TS GenAI Frameworks: 2026 Comparison
Compare top JS/TS GenAI frameworks for 2026. Vercel AI SDK, LangChain.js, Mastra, GenKit, and LlamaIndex.TS benchmarked.
Browser Use vs Stagehand vs Playwright MCP (2026)
Browser Use vs Stagehand vs Playwright MCP compared on code, token cost, and workflow fit — pick the right AI browser automation tool in 2026.
OpenClaw Architecture: 8-Tier Routing & Sandbox Deep Dive
Explore OpenClaw's 8-tier message routing across Discord, Telegram, and Slack with pluggable Docker/SSH sandbox isolation.
OpenClaw vs Hermes: How AI Agents Cut Tokens 75%
OpenClaw vs Hermes token usage: context compression techniques, 25-section vs 9-layer prompts, frozen memory and 5-phase pruning that cut tokens ~75%.
AI Coding Agent Architecture: Agent Loop Deep Dive
Explore how Claude Code, Cursor, Aider, and Cline work under the hood. Agent loops, tool dispatch, and edit strategies explained.
AI Agent Memory: Why Binding Matters More Than Recall
Discover why AI agent memory fails at binding, not recall. 500+ experiments reveal architecture patterns that fix context-action gaps.
AgentCore vs LangGraph: Agent Orchestration Compared (2026)
Compare AgentCore and LangGraph for AI agent orchestration. State management, deployment, and pricing explained with code.
AgentCore vs LangChain: 2026 Framework Guide
Compare AgentCore and LangChain for AI agents. Architecture, pricing, and deployment trade-offs explained with code.
Context Engineering for AI Agents: Cost and Reliability
Learn how caching, tool selection, memory and retrieval shape agent context, with cost calculations, failure cases and an evaluation checklist.