<?xml version="1.0" encoding="UTF-8"?>
<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:dc="http://purl.org/dc/elements/1.1/">
  <channel>
    <title>AGNT Research</title>
    <link>https://agnt.gg/articles/</link>
    <description>Research, whitepapers, and field notes from the AGNT team on agent architectures, evaluation, verification, and accountable AI operations.</description>
    <language>en</language>
    <atom:link href="https://agnt.gg/feed.xml" rel="self" type="application/rss+xml"/>
    <lastBuildDate>Fri, 23 Oct 2026 12:00:00 GMT</lastBuildDate>
    <item>
      <title>The Agent Loop, Explained: Plan, Act, Observe, Evaluate</title>
      <link>https://agnt.gg/articles/agents/agent-loop-explained</link>
      <guid isPermaLink="false">https://agnt.gg/articles/agents/agent-loop-explained</guid>
      <description>An AI agent isn&apos;t one clever answer. It&apos;s a loop: plan, act, observe, evaluate. Watch the agent loop run as an interactive machine you can step through.</description>
      <pubDate>Fri, 23 Oct 2026 12:00:00 GMT</pubDate>
      <dc:creator>Annie @ AGNT</dc:creator>
      <category>Agent Loop</category>
      <category>AI Agents</category>
      <category>Agentic Workflows</category>
      <category>Interactive</category>
    </item>
    <item>
      <title>AI Harness vs Agent Framework vs Workflow: What Do You Actually Need?</title>
      <link>https://agnt.gg/articles/comparisons/ai-harness-vs-agent-framework</link>
      <guid isPermaLink="false">https://agnt.gg/articles/comparisons/ai-harness-vs-agent-framework</guid>
      <description>Model, agent, harness, framework and workflow defined against one example. Where prompt and context engineering fit, when a workflow is enough and when a harness pays off.</description>
      <pubDate>Sun, 18 Oct 2026 12:00:00 GMT</pubDate>
      <dc:creator>Annie @ AGNT</dc:creator>
      <category>AI Harness Engineering</category>
      <category>Agent Framework</category>
      <category>AI Workflow</category>
      <category>Agent Architecture</category>
      <category>Context Engineering</category>
    </item>
    <item>
      <title>Local vs Cloud vs Hybrid AI Assistants: Where Does Your Data Go?</title>
      <link>https://agnt.gg/articles/comparisons/local-vs-cloud-ai-assistant</link>
      <guid isPermaLink="false">https://agnt.gg/articles/comparisons/local-vs-cloud-ai-assistant</guid>
      <description>Compare local, cloud and hybrid AI assistants by tracing every component: interface, model, documents, tools, logs and backups. Retention, training, cost and a decision tree.</description>
      <pubDate>Sun, 18 Oct 2026 12:00:00 GMT</pubDate>
      <dc:creator>Annie @ AGNT</dc:creator>
      <category>Local AI Assistant</category>
      <category>Cloud AI</category>
      <category>Hybrid AI</category>
      <category>AI Privacy</category>
      <category>Personal AI Assistant</category>
      <category>AI Harness Engineering</category>
    </item>
    <item>
      <title>Private AI Assistants: How to Compare Data, Control and Exit Options</title>
      <link>https://agnt.gg/articles/comparisons/private-ai-assistants</link>
      <guid isPermaLink="false">https://agnt.gg/articles/comparisons/private-ai-assistants</guid>
      <description>How to compare private AI assistants on evidence, not labels: data destinations, retention, permissions, inspectable memory, recovery and exit, with a hands-on acceptance test.</description>
      <pubDate>Sun, 18 Oct 2026 12:00:00 GMT</pubDate>
      <dc:creator>Annie @ AGNT</dc:creator>
      <category>Private AI Assistant</category>
      <category>AI Privacy</category>
      <category>Personal AI Assistant</category>
      <category>Local AI</category>
      <category>AI Harness Engineering</category>
    </item>
    <item>
      <title>RAG vs Memory vs Context: Three Different Jobs in Your AI Assistant</title>
      <link>https://agnt.gg/articles/comparisons/rag-vs-memory-vs-context</link>
      <guid isPermaLink="false">https://agnt.gg/articles/comparisons/rag-vs-memory-vs-context</guid>
      <description>Context, retrieval (RAG) and memory solve different problems. One question traced through all three, what belongs where, conflict rules and how to test evidence placement.</description>
      <pubDate>Sun, 18 Oct 2026 12:00:00 GMT</pubDate>
      <dc:creator>Annie @ AGNT</dc:creator>
      <category>RAG</category>
      <category>AI Memory</category>
      <category>Context Engineering</category>
      <category>Retrieval Augmented Generation</category>
      <category>AI Harness Engineering</category>
    </item>
    <item>
      <title>AI Agent Logging: Understand Actions Without Leaking Secrets</title>
      <link>https://agnt.gg/articles/engineering/ai-agent-logging</link>
      <guid isPermaLink="false">https://agnt.gg/articles/engineering/ai-agent-logging</guid>
      <description>Design AI agent logs and run receipts that explain what ran, what changed and why it stopped, while keeping secrets and personal data out. Schema, redaction and retention.</description>
      <pubDate>Sun, 18 Oct 2026 12:00:00 GMT</pubDate>
      <dc:creator>Annie @ AGNT</dc:creator>
      <category>AI Agent Logging</category>
      <category>Audit Trail</category>
      <category>AI Agent Observability</category>
      <category>Data Privacy</category>
      <category>AI Harness Engineering</category>
    </item>
    <item>
      <title>AI Agent Permissions: Read, Draft, Approve, Execute</title>
      <link>https://agnt.gg/articles/engineering/ai-agent-permissions</link>
      <guid isPermaLink="false">https://agnt.gg/articles/engineering/ai-agent-permissions</guid>
      <description>Design AI agent permissions enforced in code, not prompts: action classes, exact-action approval, expiry, one-time use, revocation and the negative tests that prove it.</description>
      <pubDate>Sun, 18 Oct 2026 12:00:00 GMT</pubDate>
      <dc:creator>Annie @ AGNT</dc:creator>
      <category>AI Agent Permissions</category>
      <category>Human in the Loop</category>
      <category>AI Agent Security</category>
      <category>Approvals</category>
      <category>AI Harness Engineering</category>
    </item>
    <item>
      <title>Why Your AI Agent Loops, Forgets or Claims It Is Finished</title>
      <link>https://agnt.gg/articles/engineering/ai-agent-troubleshooting</link>
      <guid isPermaLink="false">https://agnt.gg/articles/engineering/ai-agent-troubleshooting</guid>
      <description>Diagnose AI agent failures by symptom: loops, forgetting, stale facts, false completion, duplicate actions and runaway cost. Find the responsible layer, fix it and add a regression test.</description>
      <pubDate>Sun, 18 Oct 2026 12:00:00 GMT</pubDate>
      <dc:creator>Annie @ AGNT</dc:creator>
      <category>AI Agent Troubleshooting</category>
      <category>AI Agent Debugging</category>
      <category>Agent Reliability</category>
      <category>Personal AI Assistant</category>
      <category>AI Harness Engineering</category>
    </item>
    <item>
      <title>AI Harness Engineering: How to Build AI Agents Your Business Can Trust (2027 Guide)</title>
      <link>https://agnt.gg/articles/engineering/ai-harness-engineering</link>
      <guid isPermaLink="false">https://agnt.gg/articles/engineering/ai-harness-engineering</guid>
      <description>AI harness engineering for teams: the permissions, memory, evals and cost limits that make AI agents safe on business data. Sourced guide with a tested starter.</description>
      <pubDate>Sun, 18 Oct 2026 12:00:00 GMT</pubDate>
      <dc:creator>Annie @ AGNT</dc:creator>
      <category>AI Harness Engineering</category>
      <category>Agent Harness</category>
      <category>Enterprise AI Agents</category>
      <category>AI Agent Security</category>
      <category>Context Engineering</category>
      <category>Agent Evaluation</category>
    </item>
    <item>
      <title>What Does a Personal AI Assistant Cost? A Reproducible Worksheet</title>
      <link>https://agnt.gg/articles/engineering/personal-ai-assistant-cost</link>
      <guid isPermaLink="false">https://agnt.gg/articles/engineering/personal-ai-assistant-cost</guid>
      <description>Work out what a personal AI assistant really costs per successful task: tokens, tools, hosting, hardware, energy and your time, with formulas, scenarios and budget limits.</description>
      <pubDate>Sun, 18 Oct 2026 12:00:00 GMT</pubDate>
      <dc:creator>Annie @ AGNT</dc:creator>
      <category>AI Assistant Cost</category>
      <category>AI Costs</category>
      <category>Local vs Cloud</category>
      <category>Personal AI Assistant</category>
      <category>AI Harness Engineering</category>
    </item>
    <item>
      <title>How to Test a Personal AI Assistant Before Trusting It</title>
      <link>https://agnt.gg/articles/engineering/personal-ai-assistant-evaluation</link>
      <guid isPermaLink="false">https://agnt.gg/articles/engineering/personal-ai-assistant-evaluation</guid>
      <description>Evaluate a personal AI assistant on outcomes, not fluency: a 30-case suite, final-state checks, the right graders, pass@k vs pass^k, honest reporting and regression tests.</description>
      <pubDate>Sun, 18 Oct 2026 12:00:00 GMT</pubDate>
      <dc:creator>Annie @ AGNT</dc:creator>
      <category>AI Agent Evaluation</category>
      <category>Agent Testing</category>
      <category>Personal AI Assistant</category>
      <category>Evals</category>
      <category>AI Harness Engineering</category>
    </item>
    <item>
      <title>Personal AI Memory: Store, Inspect, Correct, Export and Delete</title>
      <link>https://agnt.gg/articles/engineering/personal-ai-memory</link>
      <guid isPermaLink="false">https://agnt.gg/articles/engineering/personal-ai-memory</guid>
      <description>Design personal AI memory you can see and change: what to remember, a record format with provenance, correction you can verify, portable export and honest deletion limits.</description>
      <pubDate>Sun, 18 Oct 2026 12:00:00 GMT</pubDate>
      <dc:creator>Annie @ AGNT</dc:creator>
      <category>AI Memory</category>
      <category>Personal AI Assistant</category>
      <category>AI Agent Memory</category>
      <category>Data Privacy</category>
      <category>AI Harness Engineering</category>
    </item>
    <item>
      <title>Prompt Injection in Personal Assistants: A Safe Testing Lab</title>
      <link>https://agnt.gg/articles/engineering/personal-ai-prompt-injection</link>
      <guid isPermaLink="false">https://agnt.gg/articles/engineering/personal-ai-prompt-injection</guid>
      <description>A defensive lab for prompt injection in personal AI assistants: synthetic fixtures, layered controls, scoring security and utility separately, and what passing does not prove.</description>
      <pubDate>Sun, 18 Oct 2026 12:00:00 GMT</pubDate>
      <dc:creator>Annie @ AGNT</dc:creator>
      <category>Prompt Injection</category>
      <category>AI Agent Security</category>
      <category>Indirect Prompt Injection</category>
      <category>Personal AI Assistant</category>
      <category>AI Harness Engineering</category>
    </item>
    <item>
      <title>Scheduling AI Workflows Without Duplicate Actions</title>
      <link>https://agnt.gg/articles/engineering/schedule-ai-workflows-safely</link>
      <guid isPermaLink="false">https://agnt.gg/articles/engineering/schedule-ai-workflows-safely</guid>
      <description>Run scheduled AI workflows that never act twice: separate schedules from runs, checkpoint state, use idempotency keys, classify retries, reconcile uncertain outcomes and test failures.</description>
      <pubDate>Sun, 18 Oct 2026 12:00:00 GMT</pubDate>
      <dc:creator>Annie @ AGNT</dc:creator>
      <category>AI Workflow</category>
      <category>Scheduling</category>
      <category>Idempotency</category>
      <category>Reliability</category>
      <category>AI Harness Engineering</category>
    </item>
    <item>
      <title>Build a Meeting-Prep Assistant with Read-Only Calendar Access</title>
      <link>https://agnt.gg/articles/tutorials/ai-meeting-prep-assistant</link>
      <guid isPermaLink="false">https://agnt.gg/articles/tutorials/ai-meeting-prep-assistant</guid>
      <description>Build an AI meeting-prep assistant that writes sourced briefs from your calendar and notes without changing anything: scoped access, timezone tests and no-write checks.</description>
      <pubDate>Sun, 18 Oct 2026 12:00:00 GMT</pubDate>
      <dc:creator>Annie @ AGNT</dc:creator>
      <category>AI Meeting Preparation</category>
      <category>AI Calendar Assistant</category>
      <category>Personal AI Assistant</category>
      <category>Read-Only Access</category>
      <category>AI Harness Engineering</category>
    </item>
    <item>
      <title>How to Build Your Own AI Assistant: A Read-Only First Project</title>
      <link>https://agnt.gg/articles/tutorials/build-your-own-ai-assistant</link>
      <guid isPermaLink="false">https://agnt.gg/articles/tutorials/build-your-own-ai-assistant</guid>
      <description>Build a first personal AI assistant with one read-only tool, a hard step limit and a run receipt. Tested 50-line Node.js starter, boundary tests and next steps.</description>
      <pubDate>Sun, 18 Oct 2026 12:00:00 GMT</pubDate>
      <dc:creator>Annie @ AGNT</dc:creator>
      <category>Build Your Own AI Assistant</category>
      <category>Personal AI Assistant</category>
      <category>AI Harness Engineering</category>
      <category>Tutorial</category>
      <category>Node.js</category>
    </item>
    <item>
      <title>Build an Email Assistant That Drafts but Does Not Send</title>
      <link>https://agnt.gg/articles/tutorials/draft-only-ai-email-assistant</link>
      <guid isPermaLink="false">https://agnt.gg/articles/tutorials/draft-only-ai-email-assistant</guid>
      <description>Build a personal AI email assistant that writes grounded drafts but has no ability to send: synthetic inbox, scoped reads, data flow, no-send proof and hostile-message tests.</description>
      <pubDate>Sun, 18 Oct 2026 12:00:00 GMT</pubDate>
      <dc:creator>Annie @ AGNT</dc:creator>
      <category>AI Email Assistant</category>
      <category>Personal AI Assistant</category>
      <category>AI Agent Permissions</category>
      <category>Prompt Injection</category>
      <category>AI Harness Engineering</category>
    </item>
    <item>
      <title>Which Local AI Model Fits Your Hardware and Tasks?</title>
      <link>https://agnt.gg/articles/tutorials/local-ai-assistant-hardware</link>
      <guid isPermaLink="false">https://agnt.gg/articles/tutorials/local-ai-assistant-hardware</guid>
      <description>Choose local AI hardware from your tasks, not parameter counts: memory budgets, quantisation, context and concurrency, plus a reproducible benchmark to run before buying anything.</description>
      <pubDate>Sun, 18 Oct 2026 12:00:00 GMT</pubDate>
      <dc:creator>Annie @ AGNT</dc:creator>
      <category>Local AI Assistant</category>
      <category>Local LLM Hardware</category>
      <category>GPU</category>
      <category>Ollama</category>
      <category>AI Harness Engineering</category>
    </item>
    <item>
      <title>MCP for Personal AI: Connect Tools Without Giving Away the Keys</title>
      <link>https://agnt.gg/articles/tutorials/mcp-personal-ai-assistant</link>
      <guid isPermaLink="false">https://agnt.gg/articles/tutorials/mcp-personal-ai-assistant</guid>
      <description>Connect a personal AI assistant to tools through MCP with scoped access: transports, credentials, token passthrough, tool contracts, denial tests and revocation.</description>
      <pubDate>Sun, 18 Oct 2026 12:00:00 GMT</pubDate>
      <dc:creator>Annie @ AGNT</dc:creator>
      <category>MCP</category>
      <category>Model Context Protocol</category>
      <category>Personal AI Assistant</category>
      <category>AI Agent Security</category>
      <category>Tool Calling</category>
      <category>AI Harness Engineering</category>
    </item>
    <item>
      <title>Backup, Restore and Upgrade Your Personal AI Harness</title>
      <link>https://agnt.gg/articles/tutorials/personal-ai-backup-restore</link>
      <guid isPermaLink="false">https://agnt.gg/articles/tutorials/personal-ai-backup-restore</guid>
      <description>Back up and restore a personal AI harness properly: inventory state, write a manifest, restore into a clean environment, re-authorise deliberately and verify data and behaviour.</description>
      <pubDate>Sun, 18 Oct 2026 12:00:00 GMT</pubDate>
      <dc:creator>Annie @ AGNT</dc:creator>
      <category>AI Backup</category>
      <category>Disaster Recovery</category>
      <category>Self-Hosted AI</category>
      <category>Personal AI Assistant</category>
      <category>AI Harness Engineering</category>
    </item>
    <item>
      <title>Personal Knowledge-Base AI with Verifiable Sources</title>
      <link>https://agnt.gg/articles/tutorials/personal-knowledge-base-ai</link>
      <guid isPermaLink="false">https://agnt.gg/articles/tutorials/personal-knowledge-base-ai</guid>
      <description>Build a personal knowledge-base AI whose citations actually support its answers: scoped documents, provenance, retrieval checks, claim-to-source verification and stale-data tests.</description>
      <pubDate>Sun, 18 Oct 2026 12:00:00 GMT</pubDate>
      <dc:creator>Annie @ AGNT</dc:creator>
      <category>Personal Knowledge Base</category>
      <category>RAG</category>
      <category>AI Citations</category>
      <category>Personal AI Assistant</category>
      <category>AI Harness Engineering</category>
    </item>
    <item>
      <title>Switch AI Providers Without Losing Your Workflows: A Practical Exit Test</title>
      <link>https://agnt.gg/articles/tutorials/switch-ai-providers</link>
      <guid isPermaLink="false">https://agnt.gg/articles/tutorials/switch-ai-providers</guid>
      <description>Avoid AI vendor lock-in with a tested exit: inventory portable state, export it, adapt model and tool interfaces, rerun the same tasks, revoke old access and plan rollback.</description>
      <pubDate>Sun, 18 Oct 2026 12:00:00 GMT</pubDate>
      <dc:creator>Annie @ AGNT</dc:creator>
      <category>AI Vendor Lock-In</category>
      <category>Switch AI Providers</category>
      <category>Portability</category>
      <category>Personal AI Assistant</category>
      <category>AI Harness Engineering</category>
    </item>
    <item>
      <title>$0.99 per outcome: notes on AI agent business ideas</title>
      <link>https://agnt.gg/articles/agents/ai-agent-business-ideas</link>
      <guid isPermaLink="false">https://agnt.gg/articles/agents/ai-agent-business-ideas</guid>
      <description>AI agent business ideas for 2026, sorted by how they get paid, with verified adoption, token-cost and cancellation data, and a 20-job test before you price.</description>
      <pubDate>Sat, 26 Sep 2026 12:00:00 GMT</pubDate>
      <dc:creator>Annie @ AGNT</dc:creator>
      <category>AI Agent Business Ideas</category>
      <category>AI Agents</category>
      <category>Make Money With AI</category>
      <category>AI Automation Agency</category>
      <category>Entrepreneurship</category>
    </item>
    <item>
      <title>AI Agents for Small Business: 10 Bottlenecks They Remove (and 3 They Don&apos;t)</title>
      <link>https://agnt.gg/articles/agents/ai-agents-for-small-business</link>
      <guid isPermaLink="false">https://agnt.gg/articles/agents/ai-agents-for-small-business</guid>
      <description>A practical guide to AI agents for small business: ten everyday bottlenecks agents can take off an owner&apos;s plate, what each costs to run, where to keep a human, and what adoption data says.</description>
      <pubDate>Sat, 26 Sep 2026 12:00:00 GMT</pubDate>
      <dc:creator>Annie @ AGNT</dc:creator>
      <category>AI Agents for Small Business</category>
      <category>Small Business Automation</category>
      <category>AI Automation</category>
      <category>Productivity</category>
      <category>Operations</category>
    </item>
    <item>
      <title>How AI Agents Work: The Loop, the Tools and the Harness Around Them</title>
      <link>https://agnt.gg/articles/agents/how-ai-agents-work</link>
      <guid isPermaLink="false">https://agnt.gg/articles/agents/how-ai-agents-work</guid>
      <description>How AI agents actually work, step by step: the model, the tool loop, memory, stopping conditions and the harness that makes it safe, with sources from Anthropic, OpenAI and the ReAct paper.</description>
      <pubDate>Sat, 26 Sep 2026 12:00:00 GMT</pubDate>
      <dc:creator>Annie @ AGNT</dc:creator>
      <category>How AI Agents Work</category>
      <category>AI Agents</category>
      <category>Tool Calling</category>
      <category>Agent Architecture</category>
      <category>Agent Harness</category>
    </item>
    <item>
      <title>Zapier vs n8n vs AI Agents: Which Automation Approach Wins in 2026?</title>
      <link>https://agnt.gg/articles/comparisons/zapier-vs-n8n-vs-ai-agents</link>
      <guid isPermaLink="false">https://agnt.gg/articles/comparisons/zapier-vs-n8n-vs-ai-agents</guid>
      <description>Zapier vs n8n vs AI agents compared on pricing model, hosting, licence, AI features and control, with current prices and a worked cost example, plus when an agent beats both.</description>
      <pubDate>Sat, 26 Sep 2026 12:00:00 GMT</pubDate>
      <dc:creator>Annie @ AGNT</dc:creator>
      <category>Zapier vs n8n</category>
      <category>Zapier</category>
      <category>n8n</category>
      <category>AI Agents</category>
      <category>Workflow Automation</category>
      <category>Comparison</category>
    </item>
    <item>
      <title>AI Agent Observability: See Every Trace, Tool Call and Cost</title>
      <link>https://agnt.gg/articles/engineering/ai-agent-observability</link>
      <guid isPermaLink="false">https://agnt.gg/articles/engineering/ai-agent-observability</guid>
      <description>AI agent observability explained: what to trace, the OpenTelemetry GenAI conventions, the metrics that matter, evals vs tracing, privacy, and how teams debug agents in production.</description>
      <pubDate>Sat, 26 Sep 2026 12:00:00 GMT</pubDate>
      <dc:creator>Annie @ AGNT</dc:creator>
      <category>AI Agent Observability</category>
      <category>Agent Tracing</category>
      <category>OpenTelemetry</category>
      <category>LLM Observability</category>
      <category>Evaluation</category>
    </item>
    <item>
      <title>AI Agents vs Workflows: When to Use Each (With Examples)</title>
      <link>https://agnt.gg/articles/engineering/ai-agents-vs-workflows</link>
      <guid isPermaLink="false">https://agnt.gg/articles/engineering/ai-agents-vs-workflows</guid>
      <description>AI agent vs workflow, explained with Anthropic&apos;s definitions: when a fixed workflow beats an agent, when an agent is worth the cost, the five workflow patterns, and how to combine both.</description>
      <pubDate>Sat, 26 Sep 2026 12:00:00 GMT</pubDate>
      <dc:creator>Annie @ AGNT</dc:creator>
      <category>AI Agent vs Workflow</category>
      <category>Agentic Workflows</category>
      <category>Workflow Automation</category>
      <category>Agent Architecture</category>
      <category>AI Agents</category>
    </item>
    <item>
      <title>Single-Agent vs Multi-Agent Systems: When One Agent Is Enough</title>
      <link>https://agnt.gg/articles/engineering/single-agent-vs-multi-agent</link>
      <guid isPermaLink="false">https://agnt.gg/articles/engineering/single-agent-vs-multi-agent</guid>
      <description>Single-agent vs multi-agent AI systems compared with evidence from Anthropic, Cognition and OpenAI: when multiple agents win, what they cost in tokens, and the patterns that actually work.</description>
      <pubDate>Sat, 26 Sep 2026 12:00:00 GMT</pubDate>
      <dc:creator>Annie @ AGNT</dc:creator>
      <category>Single Agent vs Multi Agent</category>
      <category>Multi-Agent Systems</category>
      <category>Agent Architecture</category>
      <category>AI Agents</category>
      <category>Context Engineering</category>
    </item>
    <item>
      <title>The Rise of Local AI: Why Builders Are Running Models and Agents on Their Own Machines</title>
      <link>https://agnt.gg/articles/industry/rise-of-local-ai</link>
      <guid isPermaLink="false">https://agnt.gg/articles/industry/rise-of-local-ai</guid>
      <description>Why local AI took off: inference costs fell 280-fold, open-weight models closed the gap, and desktop hardware can now hold 100B+ parameter models. The trade-offs, and when local wins.</description>
      <pubDate>Sat, 26 Sep 2026 12:00:00 GMT</pubDate>
      <dc:creator>Annie @ AGNT</dc:creator>
      <category>Local AI</category>
      <category>Local LLM</category>
      <category>Open-Weight Models</category>
      <category>Self-Hosted AI</category>
      <category>Private AI</category>
      <category>Ollama</category>
    </item>
    <item>
      <title>AI Agent Memory Explained: Types, Architectures and What Actually Works</title>
      <link>https://agnt.gg/articles/research/ai-agent-memory</link>
      <guid isPermaLink="false">https://agnt.gg/articles/research/ai-agent-memory</guid>
      <description>AI agent memory explained: working, episodic, semantic and procedural memory, the main architectures (MemGPT, Generative Agents, Mem0), why bigger context windows are not memory, and how to design it.</description>
      <pubDate>Sat, 26 Sep 2026 12:00:00 GMT</pubDate>
      <dc:creator>Annie @ AGNT</dc:creator>
      <category>AI Agent Memory</category>
      <category>Agent Memory</category>
      <category>Memory Systems</category>
      <category>Context Engineering</category>
      <category>Agent Architecture</category>
    </item>
    <item>
      <title>How to Build an AI Workflow: A Step-by-Step Guide for Your First Automation</title>
      <link>https://agnt.gg/articles/tutorials/how-to-build-an-ai-workflow</link>
      <guid isPermaLink="false">https://agnt.gg/articles/tutorials/how-to-build-an-ai-workflow</guid>
      <description>Build your first AI workflow step by step: pick the job, draw the steps, choose the trigger, place the AI step, add a human gate, test, and run it on a schedule.</description>
      <pubDate>Sat, 26 Sep 2026 12:00:00 GMT</pubDate>
      <dc:creator>Annie @ AGNT</dc:creator>
      <category>AI Workflow</category>
      <category>Workflow Automation</category>
      <category>AI Automation</category>
      <category>Tutorial</category>
      <category>Getting Started</category>
    </item>
    <item>
      <title>The 12 Best AI Agent Platforms in 2026</title>
      <link>https://agnt.gg/articles/agents/best-ai-agent-platforms</link>
      <guid isPermaLink="false">https://agnt.gg/articles/agents/best-ai-agent-platforms</guid>
      <description>The best AI agent platforms in 2026 for building and running agents: AGNT, n8n, Dust, Lindy, Gumloop, Relevance AI, Microsoft Copilot Studio, Zapier, Make, Dify and more.</description>
      <pubDate>Thu, 24 Sep 2026 12:00:00 GMT</pubDate>
      <dc:creator>Annie @ AGNT</dc:creator>
      <category>AI Agent Platform</category>
      <category>AI Agent Builder</category>
      <category>Workflow Automation</category>
      <category>Enterprise AI</category>
      <category>Comparison</category>
    </item>
    <item>
      <title>The 12 Best Free AI Agents in 2026 (Actually Free)</title>
      <link>https://agnt.gg/articles/agents/best-free-ai-agents</link>
      <guid isPermaLink="false">https://agnt.gg/articles/agents/best-free-ai-agents</guid>
      <description>The best free AI agents in 2026, and what &quot;free&quot; really means for each: open-source licence, free tier limits, and the model bill you still pay. Honest picks with sources.</description>
      <pubDate>Thu, 24 Sep 2026 12:00:00 GMT</pubDate>
      <dc:creator>Annie @ AGNT</dc:creator>
      <category>Free AI Agents</category>
      <category>Open Source AI</category>
      <category>Local AI Agent</category>
      <category>AI Automation</category>
      <category>Comparison</category>
    </item>
    <item>
      <title>The 14 Best MCP Clients in 2026</title>
      <link>https://agnt.gg/articles/agents/best-mcp-clients</link>
      <guid isPermaLink="false">https://agnt.gg/articles/agents/best-mcp-clients</guid>
      <description>The best MCP clients in 2026 compared: Claude, ChatGPT, VS Code, Cursor, Codex, Gemini CLI, LM Studio, Goose, Cline, AGNT and more, by transport, local-model support and cost.</description>
      <pubDate>Thu, 24 Sep 2026 12:00:00 GMT</pubDate>
      <dc:creator>Annie @ AGNT</dc:creator>
      <category>MCP</category>
      <category>MCP Client</category>
      <category>Model Context Protocol</category>
      <category>AI Agents</category>
      <category>Developer Tools</category>
      <category>Comparison</category>
    </item>
    <item>
      <title>The 11 Best Ollama GUIs in 2026 (Web, Desktop and Mobile)</title>
      <link>https://agnt.gg/articles/agents/best-ollama-gui</link>
      <guid isPermaLink="false">https://agnt.gg/articles/agents/best-ollama-gui</guid>
      <description>The best Ollama GUIs and front ends in 2026: Open WebUI, AnythingLLM, LibreChat, Lobe Chat, Msty, Cherry Studio, Chatbox, Enchanted, Page Assist, AGNT and more, compared.</description>
      <pubDate>Thu, 24 Sep 2026 12:00:00 GMT</pubDate>
      <dc:creator>Annie @ AGNT</dc:creator>
      <category>Ollama</category>
      <category>Ollama GUI</category>
      <category>Local LLM</category>
      <category>Local AI</category>
      <category>Private AI</category>
      <category>Comparison</category>
    </item>
    <item>
      <title>The 10 Best OpenClaw Alternatives in 2026</title>
      <link>https://agnt.gg/articles/agents/best-openclaw-alternatives</link>
      <guid isPermaLink="false">https://agnt.gg/articles/agents/best-openclaw-alternatives</guid>
      <description>The best OpenClaw alternatives in 2026, sorted by why you are leaving: security isolation, a lighter footprint, zero setup, a visual workflow canvas or team features. With sources.</description>
      <pubDate>Thu, 24 Sep 2026 12:00:00 GMT</pubDate>
      <dc:creator>Annie @ AGNT</dc:creator>
      <category>OpenClaw</category>
      <category>OpenClaw Alternative</category>
      <category>Personal AI Agent</category>
      <category>Hermes Agent</category>
      <category>NanoClaw</category>
      <category>Comparison</category>
    </item>
    <item>
      <title>The 11 Best Personal AI Agents in 2026</title>
      <link>https://agnt.gg/articles/agents/best-personal-ai-agents</link>
      <guid isPermaLink="false">https://agnt.gg/articles/agents/best-personal-ai-agents</guid>
      <description>The best personal AI agents in 2026 compared honestly: OpenClaw, Hermes Agent, Meta Muse, Vellum, Claude, Lindy, AGNT and more, with where each runs and what it costs.</description>
      <pubDate>Thu, 24 Sep 2026 12:00:00 GMT</pubDate>
      <dc:creator>Annie @ AGNT</dc:creator>
      <category>Personal AI Agent</category>
      <category>AI Assistant</category>
      <category>OpenClaw</category>
      <category>Hermes Agent</category>
      <category>Meta Muse</category>
      <category>Comparison</category>
    </item>
    <item>
      <title>System 1 vs System 2 in AI: Fast by Default, Slow on Purpose</title>
      <link>https://agnt.gg/articles/research/system-1-vs-system-2-ai</link>
      <guid isPermaLink="false">https://agnt.gg/articles/research/system-1-vs-system-2-ai</guid>
      <description>Why Jev, GLiNER, classifiers and reasoning LLMs belong in the same architecture, and how to decide when an AI system should think harder.</description>
      <pubDate>Thu, 24 Sep 2026 12:00:00 GMT</pubDate>
      <dc:creator>Annie @ AGNT</dc:creator>
      <category>AI Architecture</category>
      <category>System 1</category>
      <category>System 2</category>
      <category>Reasoning Models</category>
      <category>Jev</category>
      <category>GLiNER</category>
    </item>
    <item>
      <title>Model vs. Harness: Where Super Intelligence Actually Does Work</title>
      <link>https://agnt.gg/articles/engineering/model-vs-harness</link>
      <guid isPermaLink="false">https://agnt.gg/articles/engineering/model-vs-harness</guid>
      <description>The model thinks. The harness works. A plain-language breakdown of what a language model does, what an agent harness does, how one real task splits between them, and why the harness decides whether super intelligence ships results or just talks.</description>
      <pubDate>Tue, 22 Sep 2026 12:00:00 GMT</pubDate>
      <dc:creator>Annie @ AGNT</dc:creator>
      <category>Super Intelligence</category>
      <category>SI</category>
      <category>Agent Harness</category>
      <category>LLM</category>
      <category>AI Agents</category>
      <category>Agent Architecture</category>
    </item>
  </channel>
</rss>
