GitHub Trends · Oct 15: Saving Tokens for Agents

A few new faces just stormed onto GitHub Trending today. And I noticed one really obvious common thread — they're all about cutting costs and boosting efficiency for agents. You're not wrong, Xiaoyu. Today's whole batch comes down to three words: save tokens. Yesterday we talked about agents stepping out of the chat box and taking over real operations. Today's batch is basically bolting money-saving gadgets onto those agents. Let's start with the funniest one — caveman. Right, JuliusBrussee/caveman. It's a Claude Code skill, and the whole idea is one sentence: talk like a caveman. What do you mean, talk like a caveman? It makes the model compress its output into the most primitive phrasing, stripping out all the pleasantries and fluff. They claim it cuts tokens by 65%. That's literally what I tell my team every day — don't write an essay. If one sentence does it, don't write three. Same thing essentially. The gap it fills is that people realized a huge chunk of token cost is just the model rambling, not useful information. Over 81,000 stars, gaining 900+ in a single day. That's kind of insane. Because it hits a real pain point. If you code with Claude Code all day, that token bill actually hurts. So how does it relate to that karpathy-skills CLAUDE.md from before? They complement each other. That one teaches the model how to work, caveman makes it stop rambling. One handles quality, the other handles cost. So the takeaway is, cost-saving has moved from just buying cheaper APIs down to changing how the model talks. Number two, superpowers. This one's even more massive. obra/superpowers, over 244,000 stars. It calls itself an agentic skills framework plus a software development methodology. Methodology? Sounds less like a tool and more like laying down rules. It is laying down rules. It organizes skills into a reusable development workflow, so the agent follows a fixed playbook instead of improvising every time. I get that. The scariest thing in product work is when it gives you a different answer every single time. Exactly. The point isn't capability, it's predictability. 244,000 stars says people are truly fed up with agent behavior drift. And then there's ECC. The name sounds like error-correcting code for memory. affaan-m/ECC, over 225,000 stars. It calls itself a performance optimization system for agent harnesses. It bundles skills, instincts, memory, security, and a research-first development paradigm. Wait, it handles security too? It does. And it explicitly works with Claude Code, Codex, Opencode, Cursor — that whole lineup. Its ambition is to be the universal layer. See, caveman does a single point, superpowers does the workflow, ECC goes straight for the whole harness. Today's projects are escalating layer by layer. That's the common thread I was talking about. Everyone's fighting for the same spot — the scheduling layer between the agent and the model. Okay, number three. This one's different — it doesn't save words, it saves retrieval. xerj-org/xerj, written in Rust, over 4,700 stars, gained 700+ in one day. Growth is aggressive. What problem does it actually solve? When an agent wants the model to know your data, the traditional approach is grep and sed to dig through it, and all that raw output gets dumped into context. xerj built autoindex. One command indexes your code, docs, logs, PDFs — they claim it uses 40x fewer tokens than grep. 40x? I'd put a question mark on that number. Fair skepticism. But one key design choice is really smart — Elasticsearch compatibility, so existing clients work out of the box. That connects right back to what we talked about before — maybe only 2% of context is actually useful, and the noise is where the cost really lives. Exactly the same problem. Before, you relied on people to trim it. Now, indexing cuts the flow at the source. They also say it handles RAG, security auditing, agent memory. That's a pretty greedy scope. Greedy, but the direction is right. Build the index once, and search, RAG, memory all reuse it. That's an infrastructure play. Then there's tokenspeed. The name alone is bold. lightseekorg/tokenspeed. It calls itself a lightspeed LLM inference engine. Over 2,200 stars, didn't gain much today. Small, but I think its position is really key. Yeah, the earlier ones all save input and cut fluff. This one goes straight at inference engine speed. It's a different leg. Faster inference means token prices come down naturally. Exactly. It's on the same track as BitNet, AirLLM — all squeezing efficiency out of the lower layers. Next up, ruflo. I think I've seen a similar name before. ruvnet/ruflo. Over 68,000 stars. It calls itself the original agent meta-harness, built around multi-player swarms. Swarms — multi-agent clusters. Right. It can deploy multiple agents working together, with adaptive memory and self-learning, compatible with Claude Code and Codex. So it takes the tokens you saved and spends them on spinning up more agents. That's a very accurate summary. Only when costs come down do you dare run token-hungry plays like multi-agent. Last one — the official side jumped in. claude-plugins-official. anthropics/claude-plugins-official, over 33,000 stars. It's Anthropic's official curated directory of high-quality Claude Code plugins. That's a signal. Before, it was all community projects popping up on their own. Now the official side is starting to absorb them. Exactly the point. When an ecosystem gets hot enough, the official player inevitably steps in to build a directory and set standards. So will caveman and superpowers and the rest eventually get pulled in? Very likely. Once an official directory exists, the logic of curation and distribution changes. It's not just about features — it's about whether you make the whitelist. So let me lay out today's common thread: save tokens, save retrieval, boost speed, and the official side sets the standards. To sum up, competition among agents has shifted from can it do the job to how much does each job cost. Once costs get pushed down, agent products will truly roll out at scale. My must-see picks today: caveman and xerj. One saves words, one saves retrieval — both strike right at cost. I'll add claude-plugins-official. If you want to see where the ecosystem is heading, watch the official directory — that's the most reliable gauge. Alright, that's it for today. See you on tomorrow's list.