CloddsBot doesn't sleep, and that's the whole pitch. It's an open-source trading agent scanning Polymarket, Kalshi, Binance, Hyperliquid, Solana DEXs and five EVM chains for edge, then executing without you at the keyboard. I'm not here to tell you to trade with it. I'm here because the pattern underneath it, an agent that watches a surface humans can't watch continuously and acts inside a window humans can't hit, is the same pattern worth stealing for whatever market you're actually in.
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The Drops
RepoCloddsBot
1,536 stars · alsk1992/CloddsBot
An open-source trading agent that runs unattended across eight-plus markets and chains at once.
Here is the real problem it solves. Most "trading bots" are single-exchange toys. This one scans Polymarket, Kalshi, Binance, Hyperliquid, Solana DEXs, and five EVM chains for edge, then executes without a human clicking confirm.
Quick start: clone it, read the strategy config before you touch a wallet key, run it against paper trades first.
Catch: autonomous execution across that many venues means your risk config is the whole product. Get it wrong quietly and it stays wrong quietly.
AffiliateDify
If watching an agent execute across a dozen venues at once makes you want that same always-on discipline for your own stack, the missing piece is usually the workflow layer that ties your models, data, and agents together in one place instead of five. Dify, an open-source platform for building LLM apps: visual workflows, RAG pipelines, agents, and observability in one place. Self-host it or run the cloud, and take a prototype to production without stitching a framework together yourself.
Use it for: self-hosting visual agent workflows with RAG and observability in one stack.
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Repoaider
48.9k stars · Aider-AI/aider
The terminal AI pair programmer that edits multiple files and understands your git history.
Use it for: architect mode, where it plans a multi-file change before touching code, catches the "fix one thing, break three" failure mode Claude Code alone won't flag.
Catch: it wants a clean git tree. Uncommitted chaos in your working directory makes its diffs harder to trust.
RepoFinceptTerminal
31.3k stars · Fincept-Corporation/FinceptTerminal
A terminal finance app for market analytics, investment research, and economic data, built like a Bloomberg terminal you can actually afford.
Use it for: wiring your own data feeds into a research workflow instead of paying for a locked-down dashboard.
Catch: it's a research surface, not an execution layer. Pair it with something like CloddsBot above if you want the loop closed.
MCPbankmcp
177 stars · noskillish/bankmcp
A self-hosted, read-only MCP server that lets your agent read your own bank accounts through open banking.
Use it for: giving Claude or Ollama real financial context (actual balances, actual transactions) instead of guessing from what you type into a prompt.
Catch: read-only is the right default. Confirm that before you point anything at it and forget you did.
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Start Here
Know when to start a new chat instead of dragging the old one along.
1. Watch for the slowdown. If the AI starts repeating itself, forgetting something you said three messages ago, or giving answers that feel a little off from where the conversation started, that's your signal.
2. Understand why it happens. Every conversation has a limited amount of "working memory." The longer a chat runs, the more of that memory gets used up by old messages, and the AI starts losing track of the details that matter most.
3. Start fresh for a new task. Don't just keep scrolling up in the same chat when you switch topics. Open a new one. It gives the AI a clean slate and usually sharper answers.
4. Carry forward only what matters. Before you start the new chat, copy the two or three key facts or decisions from the old one into your first message. You lose the clutter, not the substance.
5. Treat long chats as disposable, not sacred. You're not losing progress by starting over. You're removing noise that was making the AI worse at helping you.
TRY THIS: Open your longest-running AI chat right now. If it's more than 20 messages deep, start a new one, paste in just the last decision you made, and ask your next question there.
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Recommended
Once you are in the habit of starting a clean chat instead of dragging the old one along, the next lever is making the first message in that chat count, and that is easier with a prompt that already works. HubSpot's 100+ ChatGPT Prompts guide is a free download of working prompts for writing, research, and daily tasks, organized so you can lift what you need and go. We may earn a commission. |

Frontier Signals
A researcher is using Codex and ChatGPT to hunt for new antimicrobial molecules in living and extinct genomes. This is agents doing real scientific search, not chat, the kind of narrow-domain autonomous scanning that CloddsBot's trading loop and this lab work both point toward. (OpenAI Blog)
Meta's Muse just became the No. 2 app in the US, and it's still off to a slower start than Meta's other launches. Worth watching for what "slow" means when the baseline is a company that can force distribution through its own apps. (TechCrunch AI)
Vercel Sandbox doubled default storage to 64 GB, no price change mentioned. A quiet infrastructure bump, but if you're running agent workloads that write intermediate files, that headroom is the difference between a job finishing and a job dying at 90%. (Vercel Blog)
Four separate threat groups were caught using the identical Chrome and Windows exploit kit. Researchers point to AI-accelerated vulnerability discovery as a likely contributor to the shared toolkit. If AI is compressing offense this fast, your patch cadence needs to compress too. (Ars Technica AI)
A demo called WeWorm claims to be the first zero-click worm spreading through WeChat calls on iOS and Android, no answer or interaction required from the victim. Zero-click is the ceiling of what a compromised device looks like, and it's showing up on mobile call infrastructure now, not just browsers. (Simon Willison)
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Before You Go
Reply and tell me what market or workflow you'd point an always-on agent at if you trusted the risk config enough. I read every one.
See you Monday.
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