AI Agents
AI agents, autonomous workflows, agent infrastructure, tool use, orchestration and agent safety.
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Which AI Agent Frameworks Are Still Maintained? We Checked 9 GitHub Repos (October 2026)
We counted commits, contributors, licences and self-hosting services across n8n, Dify, Langflow, CrewAI, LangGraph, OpenHands, Agent Framework, Flowise and AutoGen.
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AI Agent Infrastructure Explained: MCP, Payments, Security & Middleware
AI agent infrastructure explained: how MCP, permissions, payments, security, verification and middleware connect autonomous agents to real-world services.
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MiniCPM5-2B Explained: Local AI Agents, Tool Calling & Coding
MiniCPM5-2B explained: how OpenBMB’s compact model handles coding, tool calling and agentic workflows, and why it matters for local AI agents.
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System 1 vs System 2 AI Agents: Architecture, Guardrails & Use Cases
System 1 vs System 2 AI agents explained: compare bounded decisions, autonomous planning, guardrails and hybrid architectures for real applications.
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AI Agent Safety Explained: Permissions, Risks & Human Oversight
AI agent safety explained: permission risks, autonomy, guardrails and human oversight as increasingly capable agents take actions in real systems.
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AI Coding Agents in 2026: What the Evidence Says and How to Use Them Well
AI coding agents are now part of how real software gets built. What the research says about speed, what 23,000 real commits show, where agents fail, and the workflow that works.
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OpenAI Dots Explained: Always-On AI Agents & Autonomous Workflows
OpenAI Dots explained: how always-on agents use cloud computers, browsers, connected tools, recurring tasks and delegation for autonomous workflows.
