{"id":45,"date":"2026-06-24T11:32:20","date_gmt":"2026-06-24T03:32:20","guid":{"rendered":"http:\/\/wp.rungobag.cn\/index.php\/2026\/06\/24\/show-hn-rlm-based-local-debugger-for-ai-agent-traces\/"},"modified":"2026-06-24T11:32:20","modified_gmt":"2026-06-24T03:32:20","slug":"show-hn-rlm-based-local-debugger-for-ai-agent-traces","status":"publish","type":"post","link":"https:\/\/wp.rungobag.cn\/index.php\/2026\/06\/24\/show-hn-rlm-based-local-debugger-for-ai-agent-traces\/","title":{"rendered":"Show HN: RLM-based local debugger for AI agent traces"},"content":{"rendered":"<p>We built HALO (Hierarchal Agent Loop Optimizer), an open-source tool for debugging and optimizing AI agents using their execution traces.It\u2019s a loop. Run your agent, feed the traces to HALO, get the report, apply the fixes, then re-run your agent.HALO takes in OTEL compliant traces from AI agents using tracing frameworks such as Langfuse, Arize\/OpenInference, or even just plain JSONL. It uses an RLM (Recursive Language Model) to more efficiently break trace analysis into smaller subproblems in o&#8230;<\/p>\n<p><a href=\"https:\/\/github.com\/context-labs\/halo\">\u67e5\u770b\u539f\u6587 \u2192<\/a><\/p>\n<hr>\n<p><small>\u6765\u6e90\uff1aHacker News \u00b7 RSS \u91c7\u96c6<\/small><\/p>\n","protected":false},"excerpt":{"rendered":"<p>We built HALO (Hierarchal Agent Loop Optimizer), an ope [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"ai_generated_summary":"","wpai_meta_description":"","footnotes":""},"categories":[7],"tags":[],"class_list":["post-45","post","type-post","status-publish","format-standard","hentry","category-tech"],"_links":{"self":[{"href":"https:\/\/wp.rungobag.cn\/index.php\/wp-json\/wp\/v2\/posts\/45","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/wp.rungobag.cn\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/wp.rungobag.cn\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/wp.rungobag.cn\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/wp.rungobag.cn\/index.php\/wp-json\/wp\/v2\/comments?post=45"}],"version-history":[{"count":0,"href":"https:\/\/wp.rungobag.cn\/index.php\/wp-json\/wp\/v2\/posts\/45\/revisions"}],"wp:attachment":[{"href":"https:\/\/wp.rungobag.cn\/index.php\/wp-json\/wp\/v2\/media?parent=45"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/wp.rungobag.cn\/index.php\/wp-json\/wp\/v2\/categories?post=45"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/wp.rungobag.cn\/index.php\/wp-json\/wp\/v2\/tags?post=45"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}