holy sh*t. this is f**king insane.
This is a vibe coding post classified by Jev as Skills & agent setups (a workflow), kept by the Vibe Coding Radar because it carries real work, not commentary.
holy sh*t. this is f**king insane. langchain just documented the missing memory layer for agents that are supposed to improve after every run. instead of stuffing everything into one giant prompt, deep agents can keep long-term memory, reusable skills and lessons from previous tasks. [it takes a few minutes to understand the loop] 1/ run the task 2/ save what actually worked 3/ load that lesson into the next run that’s how an agent stops starting from zero every single time.
Posted by Gipp 🦅 (10.7k followers) 11 days ago · 152 likes · 33.5k views · view the original post on X. Kept by the Vibe Coding Radar as Skills & agent setups.
More vibe coding work like this
- Adds small, composable skills to agents for opening apps, browsing the web, and creating… — @tom_doerr
- imo jev has one massive implication for agents - sifting. — @kushbhuwalka
- I was the biggest skeptic of AI video editing. Until recently. — @businessbarista
- Agent skills are spreading across orgs faster than anyone can secure them 🔒 — @chainguard_dev
- obsidian-second-brain provides persistent memory for Claude Code and Grok Bot using an… — @tom_doerr
- Anthropic wrote a 32-page guide to building Claude skills. — @godofprompt
- Generates market research, competitive battle cards, positioning, financial projections,… — @tom_doerr
- Edits video files locally using AI coding agents like Claude Code, Cursor, and Codex… — @tom_doerr
Every post is read and classified by Jev (TypeSafe): what it is, which market it belongs to, and whether the link is a real tool. 1.8k posts from 1.8k X accounts over the last 14 days, 141 tools, 12 markets. Collected every 5 minutes, fully re-ranked every hour — last update 2026-09-19 01:18 UTC. Full method.