{"type":"rich","version":"1.0","provider_name":"Transistor","provider_url":"https://transistor.fm","author_name":"AI News Today | Julian Goldie Podcast","title":"NEW Hermes Agent Web UI is INSANE 🤯 (FREE!)","html":"<iframe width=\"100%\" height=\"180\" frameborder=\"no\" scrolling=\"no\" seamless src=\"https://share.transistor.fm/e/b1dcb7a6\"></iframe>","width":"100%","height":180,"duration":631,"description":"Headroom: Free Open-Source Tool to Cut AI Agent Token Use by 60–95%\nThis episode introduces Headroom, a free open-source project trending on GitHub that compresses what AI agents read to reduce token usage by 60–95% without losing meaning. It’s described as a “zip file” for agent context—files, tools, search results, logs, and conversation history—helping agents run faster, cost less (especially via APIs), and forget less due to context-window limits. The script claims Headroom can plug into many agents and tools (including Claude Code, Codex, Cursor, OpenClaude, and Hermes) and offers proof examples such as 92% token savings and compressing 10,144 words to 1,260 while finding the same log error. It outlines a three-step approach: crush, keep (shared reversible memory), and compound (learn from failures).\n00:00 Token Saving Breakthrough\n01:07 Why Agents Burn Tokens\n03:00 Headroom Zip Compression\n03:03 Quick Install Demo\n03:27 Three Key Benefits\n03:39 Goldie Framework Steps\n04:31 Proof and Benchmarks\n05:31 Common Objections Answered\n06:03 Recap and Next Steps\n06:45 Boardroom Offer and Outro","thumbnail_url":"https://img.transistorcdn.com/Tp0JSUlyiAe2ran44b13cjk4ImQYS1QEMKCAa9Q7go0/rs:fill:0:0:1/w:400/h:400/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS9lNTYz/NGQxMTU2ZTM1MzU5/MDNiYjcwZjJmYTY5/ODJmOS5qcGc.webp","thumbnail_width":300,"thumbnail_height":300}