![\"Before](\"https://agentmagarticleimgs.blob.core.windows.net/article-images/v0.1.7/before-feed-7439d3b331.png\")
![\"After](\"https://agentmagarticleimgs.blob.core.windows.net/article-images/v0.1.7/after-feed-5c51c241f2.png\")
![\"Before](\"https://agentmagarticleimgs.blob.core.windows.net/article-images/v0.1.7/before-changelog-3f9bdbcd9a.png\")
![\"After](\"https://agentmagarticleimgs.blob.core.windows.net/article-images/v0.1.7/after-changelog-f45d5bf43e.png\")
![\"Before](\"https://agentmagarticleimgs.blob.core.windows.net/article-images/v0.1.7/before-feed-chat-8e233eab23.png\")
![\"After](\"https://agentmagarticleimgs.blob.core.windows.net/article-images/v0.1.7/after-feed-chat-c59846d10b.png\")
![\"Before](\"https://agentmagarticleimgs.blob.core.windows.net/article-images/v0.1.7/before-tools-search-98bdf7dad8.png\")
![\"After](\"https://agentmagarticleimgs.blob.core.windows.net/article-images/v0.1.7/after-tools-search-aa6c701c5c.png\")
v0.1.7's headline update: Hardened the automated editorial ingestion pipeline for daily production use. It includes 4 merged pull requests with structured public notes, validation, and changelog sync metadata.
The editorial automation needed to be dependable after merge, not just functional in a happy path. This update makes failures easier to diagnose, reduces false-green workflow runs, verifies generated image assets after publish, and gives users visible confidence that Read/Feed articles are source-backed.
GitHub Releases were too thin to act as a product history, and there was no public changelog for readers, partners, or acquirers to inspect. This makes GitHub Releases the operational source of truth while publishing a richer, public, feed-friendly changelog from the same structured release document.
The feed hero/card content was forcing the shell wider than the viewport. When Agent Mag AI opened in the right rail, the rail was technically 380px wide, but it started too far to the right and spilled off-screen. Other pages did not show it as clearly because their main content was easier to shrink.
This completes the Agent Mag distribution path for the new public security review tool: tools repo source, website listing, detail page, npm CLI installer, and the private Agent Mag workflow that uses GPT-5.4 on PRs.
![\"Before](\"https://agentmagarticleimgs.blob.core.windows.net/article-images/v0.1.6/models-before-origin-main-c01c324858.png\")
![\"After](\"https://agentmagarticleimgs.blob.core.windows.net/article-images/v0.1.6/models-after-pr-45-1e470624d6.png\")
![\"Before](\"https://agentmagarticleimgs.blob.core.windows.net/article-images/v0.1.6/before-feed-7439d3b331.png\")
![\"After](\"https://agentmagarticleimgs.blob.core.windows.net/article-images/v0.1.6/after-feed-5c51c241f2.png\")
v0.1.6's headline update: Split fast model catalog sync from slow Firecrawl enrichment. It includes 3 merged pull requests with structured public notes, validation, and changelog sync metadata.
The previous catalog freshness path was not production-grade: long sequential Firecrawl runs could time out before upserting, Ollama was fetched during page render instead of synced durably, and malformed Firecrawl records could leak through /api/models. This update makes the catalog refresh faster, safer, and easier to verify.
We just hit a repeatable workflow problem while updating PR 45: screenshots can be captured correctly but still render broken in GitHub if the PR body uses private-repo raw links. This skill turns that learning into a durable workflow so future PRs can be created cleanly in new chats without rediscovering the same edge cases.
The editorial automation needed to be dependable after merge, not just functional in a happy path. This update makes failures easier to diagnose, reduces false-green workflow runs, verifies generated image assets after publish, and gives users visible confidence that Read/Feed articles are source-backed.
v0.1.5's headline update: This release turns the Feed and Read surfaces into a real article engine instead of a mostly MDX-only display path. It includes 4 merged pull requests with structured public notes, validation, and changelog sync metadata.
The site already had feed UI, Firecrawl configuration, and DB-aware article detail code, but there was no crawler/writer pipeline that could discover sources, generate original Agent Mag coverage, record ingestion metadata, and publish validated articles. /read and the public machine-readable surfaces were still mostly tied to MDX, so generated articles would not consistently show up where readers, search engines, or AI crawlers expect them.
The workflow also needed a clear operator notification loop. Without a status email, you have to manually inspect GitHub Actions or database documents to know whether scraping, writing, and publishing actually worked.
The user-facing issue was that clicks could appear unreliable because Next client navigation was waiting on RSC/session payloads while the page also emitted console errors. The MetaMask/SES messages are browser-extension noise, but /api/sidebar returning 404 and render-time browser globals were real app-side issues that could contribute to noisy hydration and navigation behavior.
This keeps the first client render stable with the server-rendered HTML, then reads browser-only data after hydration through React's external-store API.
v0.1.4's headline update: Hosts the private sponsor workbench on partners.theagentmag.com and keeps /partners as the public sponsorship sales page. It includes 3 merged pull requests with structured public notes, validation, and changelog sync metadata.
The chat was hallucinating install commands, losing job context across follow-ups, and sometimes returning cards without useful conversational text. This update gives the AI stronger product/data rails while keeping GPT-4o/OpenClaw as the conversational layer.
The site already had feed UI, Firecrawl configuration, and DB-aware article detail code, but there was no crawler/writer pipeline that could discover sources, generate original Agent Mag coverage, record ingestion metadata, and publish validated articles. /read and the public machine-readable surfaces were still mostly tied to MDX, so generated articles would not consistently show up where readers, search engines, or AI crawlers expect them.
The workflow also needed a clear operator notification loop. Without a status email, you have to manually inspect GitHub Actions or database documents to know whether scraping, writing, and publishing actually worked.
v0.1.3's headline update: This release completes the Agent Mag PostHog integration on a dedicated branch. It includes 4 merged pull requests with structured public notes, validation, and changelog sync metadata.
PostHog was partially installed, but the app did not have a complete Product OS layer. The missing pieces were reliable early client initialization, stable event naming, server-side route capture, CLI attribution, feature flag/dashboard setup, and proper enrichment support for country/IP analysis. This update turns PostHog into the analytics source for Agent Mag growth, skills/CLI adoption, newsletter conversion, chat usage, revenue intent, web vitals, errors, and replay QA.
The PostHog integration PR was merged after an SEO auto-fix made src/app/skills/[slug]/page.tsx a Client Component while still exporting generateMetadata. Next.js disallows that and CI failed during pnpm build.
Sponsors do not need an admin console. They need a clean workbench for the surfaces they buy and manage: editorial, newsletter, public listings, and boosts. This keeps the sponsor product simple while still using the same Agent Mag app, auth, Cosmos data layer, and Stripe checkout flow.
Agent Mag AI was treating first-party CLI commands like agentmag add as unknown and over-triggering model cards on install-command follow-ups. This gives it concise public Agent Mag product knowledge without dumping raw source code or private implementation internals into OpenClaw.
v0.1.2's headline update: Replaces shadcn Button, Badge, and Input components on the /models page with raw HTML elements matching the editorial style used on /skills and /jobs. It includes 3 merged pull requests with structured public notes, validation, and changelog sync metadata.
The /models page was built with shadcn components (rounded buttons, Badge pills, Input with ring focus) while the rest of the site uses a raw editorial style (sharp borders, mono text, inverted black/white chips). This made /models visually inconsistent with /skills, /jobs, and /read.
Agent Mag AI needed to become an opinionated product guide that can actually help users pick models from the Agent Mag catalog, not just answer generically or show hardcoded cards. The follow-up keeps that intelligence but makes the first visible result much faster by relying on deterministic recommendation cards first and GPT-4o for the chat explanation. This also prevents malformed scraped model docs from appearing in recommendations and makes local development less fragile when OpenClaw gateway settings change.
PostHog was partially installed, but the app did not have a complete Product OS layer. The missing pieces were reliable early client initialization, stable event naming, server-side route capture, CLI attribution, feature flag/dashboard setup, and proper enrichment support for country/IP analysis. This update turns PostHog into the analytics source for Agent Mag growth, skills/CLI adoption, newsletter conversion, chat usage, revenue intent, web vitals, errors, and replay QA.
v0.1.1's headline update: Fixes the individual model detail pages and keeps the model list cards easy to use after adding install command copy controls. It includes 4 merged pull requests with structured public notes, validation, and changelog sync metadata.
Individual model pages could crash because the page was passing title and items into RelatedContent, but that component expects a links object. That broke direct detail URLs like /models/ollama--kimi-k2.6 for users browsing from the models directory.
The row click target also became fragmented after the copy command UI was added, so the list cards needed a cleaner link overlay that still lets the copy button work.
v0.1.0's headline update: When reading an article in focus mode and clicking "Back to Feed", focus mode stayed on — the feed rendered without the sidebar. It includes 26 merged pull requests with structured public notes, validation, and changelog sync metadata.
The app currently presents authentication like a public product, while the actual intention is a private alpha restricted to approved emails. This update makes the alpha posture explicit in the product copy and keeps local development access controlled without changing the broader production direction.
This gives Agent Mag first-party local model install commands from the models directory and makes the npm package useful for local Ollama model adoption.
AgentMag skills need to be canonical, SEO/GEO-ready, and safe to grow. This keeps published skills anchored to GitHub while creating a reviewed path for scaling external skills.sh imports without exposing low-quality or unsafe pages.
Individual model pages could crash because the page was passing title and items into RelatedContent, but that component expects a links object. That broke direct detail URLs like /models/ollama--kimi-k2.6 for users browsing from the models directory.
Agent Mag Skills v0.1.0: Initialized the public Agent Mag skills registry with README, templates, example skill structure, contributing guidance, and MIT license.
The skills registry is one of Agent Mag's strongest ecosystem assets, so registry releases belong in the public website changelog.
Including skills releases helps users and buyers see the growth of the installable skill ecosystem alongside the app itself.
Agent Mag Tools v0.1.0: Initialized the public Agent Mag tools repository with an MIT license, contributing guide, and repo-level documentation.
Agent Mag Tools turns the publication into a practical utility layer for AI agent builders, not just a place to read about releases.
Including tools releases in the public changelog makes the website the single narrative surface for product, CLI, skills, and open-source utility work.