Open Source Radar — August 26: The agent shelf is stocking up
After yesterday's Karpathy-driven flood, today's board thins out — and what's left standing is telling. The projects still climbing aren't new agent loops; they're the layers that stock and distribute the stack: a warehouse of ready-to-run agent apps, Anthropic's own storefront for Claude Code extensions, and a hundred-thousand-star trading framework that refuses to leave the daily list.
Awesome LLM Apps (Python, ~134k stars) — Sitting second on today's daily board is a catalog of more than 100 complete agent applications, skills, and RAG recipes, all Apache-licensed and built to be cloned, modified, even sold. Unlike a typical awesome list of links, every entry is working code: blog-to-podcast converters, VC due-diligence agent teams, always-on Hacker News briefers, self-correcting RAG pipelines, fine-tuning notebooks. Everything is model-agnostic across Claude, Gemini, GPT, DeepSeek, Llama, and Qwen, and the newer agent skills pass an automated security-and-eval gate before they're accepted. Reach for it the way you'd reach for a cookbook when someone wants an agent by Friday — find the closest working recipe, then make it yours.
Claude Code Plugins Directory (Python, ~34k stars) — Anthropic now runs its own curated marketplace for Claude Code extensions, and the repo landed on daily trending this week. First-party plugins sit alongside third-party submissions that have to clear quality and security review before listing, and each follows a standard layout so a single plugin can bundle MCP servers, custom commands, subagents, and skills together. Installation happens inside Claude Code itself — browse the directory, pick what you need, no hand-wiring of servers required. The interesting part isn't any single entry; it's that the extension economy around coding agents now has an official storefront with vetting, which is how platforms signal they plan to keep developers inside them.
TradingAgents (Python, ~100k stars) — Eighteen days after we last checked in, the multi-agent trading framework is back on the daily board and has crossed the hundred-thousand-star mark. It models a trading firm as an org chart: fundamental, sentiment, news, and technical analysts feed bull-and-bear researchers who argue over the thesis, then a trader and a risk team turn the debate into positions. The recent v0.3 releases added run resumption for long backtests, a persistent record of every decision, data vendors including FRED and Polymarket, and support for a much wider range of model providers. It remains the most-starred example of domain-specific multi-agent design on GitHub — worth studying for the orchestration alone, with the repo's own reminder that it's research, not investment advice.
Worth watching this week: the center of gravity is sliding from building agents to distributing them — catalogs, marketplaces, and vetted directories are becoming the real estate everyone fights over.
Would you rather pull agent extensions from an official store or roll your own from raw repos? Tell us in the comments.
Sources: Awesome LLM Apps (GitHub) · Claude Code Plugins Directory (GitHub) · TradingAgents (GitHub) · TradingAgents paper
