Quick Review

Your AI coding agent is getting expensive. Not because you’re using it more — because it’s re-sending the same files on every turn. Same context, same tokens, same bill. But tokdiet fixes that. tokdiet is a local streaming reverse proxy that sits between your AI agent (Claude Code, Cursor, Codex) and the model API. It meters every token, compresses bloated context, and — here’s the kicker — runs a shadow evaluation to prove quality didn’t drop. Cut your input tokens by ~71% with 95–97% quality parity. And it’s MIT open source, 68 stars on GitHub as of writing. ...

Ever needed a thorough research brief on a topic — competitive analysis, literature review, tech stack comparison — and ended up chain-opening 30 browser tabs, copy-pasting scraps into a doc that never gets written? Yeah, me too. That’s exactly the pain GPT Researcher solves. GPT Researcher is an open-source autonomous research agent that crawls multiple sources, aggregates findings, and generates structured reports with citations — all without human babysitting. 15K GitHub stars, active development, MIT licensed. And the kicker? You can run it on a $6/mo VPS instead of paying $200/mo for OpenAI Deep Research. ...

Ever tried building an AI agent from scratch? I spent a weekend with LangChain once, and by the end I had a lot of respect for anyone shipping a CrewAI pipeline to production. The code complexity is real. Dify and n8n simplify things with drag-and-drop — but sometimes you don’t want to wire boxes and arrows either. You just want to describe what you need and have it built. So when I found Nexent — a zero-code platform that generates agents from plain English — I had to test it. 5,100 GitHub stars, MIT license, and v2.0 just dropped with a feature most agent builders don’t have: A2A protocol for agent-to-agent collaboration. ...