<?xml version="1.0" encoding="UTF-8"?><rss version="2.0"><channel><title>Custom agent · Agentic Feats</title><description>What people got done with Custom agent.</description><link>https://agenticfeats.com/</link><language>en</language><item><title>Persistent-identity Claude Code agent</title><link>https://agenticfeats.com/c/persistent-identity-claude-code-agent/</link><guid isPermaLink="true">https://agenticfeats.com/c/persistent-identity-claude-code-agent/</guid><description>The author built Instar, a framework giving Claude Code persistent memory, identity and safety gates, so the agent runs jobs and email on its own. Result: Four months in, the agent remembers over 470 people and 51 agents across 13 platforms, and collaborated on an open source project unnoticed. Evidence: Shown. Source: https://dev.to/jkheadley/i-built-a-claude-code-agent-that-doesnt-need-me-anymore-dfm</description><pubDate>Tue, 13 Oct 2026 15:29:03 GMT</pubDate><category>Claude Code</category><category>Custom agent</category><category>Setup and Meta</category></item><item><title>Daily planning agent across work tools</title><link>https://agenticfeats.com/c/daily-planning-agent-across-work-tools-custom-agent/</link><guid isPermaLink="true">https://agenticfeats.com/c/daily-planning-agent-across-work-tools-custom-agent/</guid><description>The author built Plan My Today, a read-only agent and MCP server that pulls tasks from many work tools and prioritizes them for the day. Result: A dashboard and chatbot that merge tasks from calendar, mail, Linear, GitHub, Slack and meeting notes into one scored, prioritized view the author uses daily. Evidence: Shown. Source: https://dev.to/kimmaida/i-built-a-secure-planning-agent-with-mcp-and-keycard-324a</description><pubDate>Tue, 13 Oct 2026 15:29:03 GMT</pubDate><category>Custom agent</category><category>Ops and IT</category></item><item><title>Agent researches its own competitors</title><link>https://agenticfeats.com/c/agent-researches-its-own-competitors-custom-agent/</link><guid isPermaLink="true">https://agenticfeats.com/c/agent-researches-its-own-competitors-custom-agent/</guid><description>Daemora, a self-hosted agent, searched Reddit, HN, Twitter and review sites unprompted and wrote a competitor analysis and go-to-market plan from one task. Result: It wrote a 3,000 word document with competitor pain points, 40 named target users, and an outbound playbook. Evidence: Numbers. Source: https://dev.to/dream_twister_4d65a3a36a4/i-asked-my-ai-agent-to-research-its-own-competitors-heres-what-it-found-4epd</description><pubDate>Tue, 13 Oct 2026 15:29:03 GMT</pubDate><category>Custom agent</category><category>Research</category></item><item><title>Internal sales AI for Cursor reps</title><link>https://agenticfeats.com/c/internal-sales-ai-for-cursor-reps-custom-agent/</link><guid isPermaLink="true">https://agenticfeats.com/c/internal-sales-ai-for-cursor-reps-custom-agent/</guid><description>Cursor&apos;s Head of Enterprise Growth built ChatGTM, an internal chat tool that pulls CRM, call, and web data to draft outreach and research accounts. Result: Used across Cursor&apos;s 400+ person sales org, it reportedly helps SDRs book 3x more qualified meetings and cuts AE ramp time by over 50%. Evidence: Numbers. Source: https://thesignal.club/p/chatgtm</description><pubDate>Tue, 13 Oct 2026 15:29:03 GMT</pubDate><category>Custom agent</category><category>Sales</category></item><item><title>Slack issue triage to Codex fix</title><link>https://agenticfeats.com/c/slack-issue-triage-to-codex-fix/</link><guid isPermaLink="true">https://agenticfeats.com/c/slack-issue-triage-to-codex-fix/</guid><description>An internal ops agent triaged a Slack issue, passed it to a Codex agent, and then verified the fix back in Slack. Result: The Codex agent resolved the issue in 40 minutes, and the ops agent confirmed the fix in Slack. Evidence: Numbers. Source: https://x.com/wesleymagness/status/2080314934601433570</description><pubDate>Tue, 13 Oct 2026 15:29:03 GMT</pubDate><category>Codex</category><category>Custom agent</category><category>Ops and IT</category></item><item><title>Pre-deploy release gatekeeper agent</title><link>https://agenticfeats.com/c/pre-deploy-release-gatekeeper-agent-custom-agent/</link><guid isPermaLink="true">https://agenticfeats.com/c/pre-deploy-release-gatekeeper-agent-custom-agent/</guid><description>The author built SHIPCHECK, a ReAct agent that queries a Sanity Content Lake over MCP to check whether a service upgrade is safe before deploy. Result: On a payment service v2 to v4 test, it caught an outdated SDK, returned DO NOT SHIP YET, then SAFE TO SHIP in simulation. Evidence: Shown. Source: https://dev.to/rajan_mishra_a9f78ad216b4/shipcheck-an-autonomous-react-agent-that-stops-cloud-outages-before-they-happen-5ag1</description><pubDate>Tue, 13 Oct 2026 15:29:03 GMT</pubDate><category>Custom agent</category><category>Ops and IT</category></item><item><title>Rule-citing AI dungeon master game</title><link>https://agenticfeats.com/c/rule-citing-ai-dungeon-master-game-custom-agent/</link><guid isPermaLink="true">https://agenticfeats.com/c/rule-citing-ai-dungeon-master-game-custom-agent/</guid><description>The author built a browser D&amp;D 5e dungeon crawl whose AI Dungeon Master answers rules questions by looking up and citing rules stored in Sanity. Result: A live game with 87 rules, 33 conditions, 14 spells and 15 monsters in two editions, answering rules questions in about 1.3 to 2.2 seconds. Evidence: Shown. Source: https://dev.to/prime_299792/the-goblin-warren-an-ai-dungeon-master-that-never-invents-a-rule-4d66</description><pubDate>Tue, 13 Oct 2026 15:29:03 GMT</pubDate><category>Custom agent</category><category>Coding</category></item><item><title>Agent-orchestrated AI video</title><link>https://agenticfeats.com/c/agent-orchestrated-ai-video-custom-agent/</link><guid isPermaLink="true">https://agenticfeats.com/c/agent-orchestrated-ai-video-custom-agent/</guid><description>The author&apos;s custom agent dimul used Grok through the CLI as an orchestrator, generating clips with Imagine and assembling them into a finished video. Result: The orchestrator produced a complete video with clips, music, and effects, shown in a linked video. Evidence: Shown. Source: https://x.com/xfreeze/status/2107878966510158087</description><pubDate>Tue, 13 Oct 2026 15:29:03 GMT</pubDate><category>Custom agent</category><category>Grok Bot</category><category>Creative</category></item><item><title>Self-hosted Matrix agent assistant</title><link>https://agenticfeats.com/c/self-hosted-matrix-agent-assistant-custom-agent/</link><guid isPermaLink="true">https://agenticfeats.com/c/self-hosted-matrix-agent-assistant-custom-agent/</guid><description>The author had Kimi set up a local Matrix server and write a small custom agent loop with sandboxed tools. Result: A working personal agent the author reaches by Matrix from phone, home web app, or CLI agents. Evidence: Claim. Source: https://news.ycombinator.com/item?id=50003674</description><pubDate>Tue, 13 Oct 2026 15:29:03 GMT</pubDate><category>Custom agent</category><category>Setup and Meta</category></item><item><title>Hospital-style agent pipeline ships Db2 support</title><link>https://agenticfeats.com/c/hospital-style-agent-pipeline-ships-db2-support-custom-agent/</link><guid isPermaLink="true">https://agenticfeats.com/c/hospital-style-agent-pipeline-ships-db2-support-custom-agent/</guid><description>Cockroach Labs ran a multi-role coding agent pipeline modeled on a teaching hospital to add Db2 support to its MOLT migration tool. Result: Db2 support shipped in under two days for a $4172 token bill, versus 9 months and about $160K for Oracle; 27 PRs merged. Evidence: Shown. Source: https://cockroachlabs.com/blog/experiment-running-hospital-code</description><pubDate>Tue, 13 Oct 2026 15:29:03 GMT</pubDate><category>Custom agent</category><category>Coding</category></item><item><title>Multi-agent stock analysis pipeline</title><link>https://agenticfeats.com/c/multi-agent-stock-analysis-pipeline-cursor/</link><guid isPermaLink="true">https://agenticfeats.com/c/multi-agent-stock-analysis-pipeline-cursor/</guid><description>The author built a LangGraph system where valuation, sentiment and fundamental agents plus a coordinator rate four stocks and backtest the resulting portfolio. Result: A working pipeline that outputs picks, performance metrics and a chart, with a 63-day backtest against an equal-weight benchmark and a test suite. Evidence: Shown. Source: https://github.com/phanhpp/Multi-Agent-Stock-Analysis-System</description><pubDate>Tue, 13 Oct 2026 15:29:03 GMT</pubDate><category>ChatGPT agent</category><category>Cursor</category><category>Custom agent</category><category>Finance and Admin</category></item><item><title>AI chat app on Nokia 110</title><link>https://agenticfeats.com/c/ai-chat-app-on-nokia-110-codex/</link><guid isPermaLink="true">https://agenticfeats.com/c/ai-chat-app-on-nokia-110-codex/</guid><description>Codex helped the author reverse-engineer a Nokia 110 4G&apos;s firmware and build a native AI chat app with a custom agent. Result: A working prototype runs on the handset over mobile data: typed chat via DeepSeek, battery check, torch, calls and alarms, tested on the phone. Evidence: Shown. Source: https://github.com/anupray95/AI-Agent-on-a-NOKIA</description><pubDate>Tue, 13 Oct 2026 15:29:03 GMT</pubDate><category>Codex</category><category>Custom agent</category><category>Coding</category></item></channel></rss>