[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"project-83094":3},{"id":4,"name":5,"fullName":6,"owner":7,"repo":5,"description":8,"homepage":9,"htmlUrl":10,"language":11,"languages":10,"totalLinesOfCode":10,"stars":12,"forks":13,"watchers":14,"openIssues":13,"contributorsCount":13,"subscribersCount":13,"size":13,"stars1d":13,"stars7d":15,"stars30d":15,"stars90d":13,"forks30d":13,"starsTrendScore":13,"compositeScore":16,"rankGlobal":10,"rankLanguage":10,"license":17,"archived":18,"fork":18,"defaultBranch":19,"hasWiki":18,"hasPages":18,"topics":20,"createdAt":10,"pushedAt":10,"updatedAt":21,"readmeContent":22,"aiSummary":23,"trendingCount":13,"starSnapshotCount":13,"syncStatus":24,"lastSyncTime":25,"discoverSource":26},83094,"isplay","combined-ai\u002Fisplay","combined-ai","Understand your agent's decisions","https:\u002F\u002Fisplay.dev",null,"TypeScript",137,0,107,35,61,"MIT License",false,"main",[],"2026-06-12 04:01:40","\u003Cp align=\"center\">\n  \u003Cpicture>\n    \u003Csource media=\"(prefers-color-scheme: dark)\" srcset=\".\u002Fresources\u002Fbrand\u002Fisplay-logo.svg\">\n    \u003Cimg src=\".\u002Fresources\u002Fbrand\u002Fisplay-readme-logo.svg\" alt=\"isplay\" width=\"180\">\n  \u003C\u002Fpicture>\n\u003C\u002Fp>\n\n\u003Ch3 align=\"center\">Replayable evidence for AI agents.\u003C\u002Fh3>\n\n\u003Cp align=\"center\">\n  Capture runs, replay hypotheses, and explain agent behavior with diffs, metrics, and validity labels.\n\u003C\u002Fp>\n\n\u003Cp align=\"center\">\n  \u003Ca href=\"https:\u002F\u002Fwww.npmjs.com\u002Fpackage\u002Fisplay\">\u003Cimg alt=\"npm version\" src=\"https:\u002F\u002Fimg.shields.io\u002Fnpm\u002Fv\u002Fisplay?color=0f766e\">\u003C\u002Fa>\n  \u003Ca href=\"https:\u002F\u002Fwww.npmjs.com\u002Fpackage\u002Fisplay\">\u003Cimg alt=\"npm downloads\" src=\"https:\u002F\u002Fimg.shields.io\u002Fnpm\u002Fdm\u002Fisplay?color=0f766e\">\u003C\u002Fa>\n  \u003Ca href=\"https:\u002F\u002Fgithub.com\u002Fcombined-ai\u002Fisplay\u002Factions\u002Fworkflows\u002Fci.yml\">\u003Cimg alt=\"CI\" src=\"https:\u002F\u002Fgithub.com\u002Fcombined-ai\u002Fisplay\u002Factions\u002Fworkflows\u002Fci.yml\u002Fbadge.svg\">\u003C\u002Fa>\n  \u003Ca href=\"https:\u002F\u002Fgithub.com\u002Fcombined-ai\u002Fisplay\u002Fstargazers\">\u003Cimg alt=\"GitHub stars\" src=\"https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002Fcombined-ai\u002Fisplay?style=flat&logo=github\">\u003C\u002Fa>\n  \u003Ca href=\".\u002FLICENSE\">\u003Cimg alt=\"MIT license\" src=\"https:\u002F\u002Fimg.shields.io\u002Fbadge\u002Flicense-MIT-0f766e\">\u003C\u002Fa>\n\u003C\u002Fp>\n\n\u003Cp align=\"center\">\n  \u003Ca href=\"https:\u002F\u002Fisplay.dev\">Website\u003C\u002Fa>\n  ·\n  \u003Ca href=\"https:\u002F\u002Fisplay.dev\u002Fdocs\">Docs\u003C\u002Fa>\n  ·\n  \u003Ca href=\"https:\u002F\u002Fgithub.com\u002Fcombined-ai\u002Fisplay\">GitHub\u003C\u002Fa>\n\u003C\u002Fp>\n\n## Why isplay\n\nisplay is infrastructure for debugging agent decisions. It captures the evidence behind every turn: context, prompts, model and tool calls, artifacts, checkpoints, branches, replays, experiments, effects, and validity labels.\n\nUse it when agent debugging needs to move past logs and vibes into replayable, testable decision forensics.\n\n## Quick Start\n\nRequires Node `>=22.22.0`. `start` uses Docker for the default local Postgres.\n\n```bash\nnpm install isplay @isplay\u002Fsdk\nnpx isplay start\n```\n\nIn another terminal:\n\n```bash\nexport ISPLAY_API_URL=http:\u002F\u002F127.0.0.1:7373\nnpx isplay health\nnpx isplay projects create --name \"Agent Lab\"\n```\n\n## Surface Area\n\n- [`isplay`](.\u002Fpackages\u002Fapps\u002Fcli): local stack, CLI, replay, jobs, and analysis.\n- [`@isplay\u002Fsdk`](.\u002Fpackages\u002Fsdk): capture client and API convenience surface.\n- [`@isplay\u002Fadapter-*`](.\u002Fpackages\u002Fadapters): AI SDK, Mastra, LangGraph, Codex, Claude Code, OpenClaw, and adapter kit packages.\n- [`@isplay\u002Fserver`](.\u002Fpackages\u002Fapps\u002Fserver), [`@isplay\u002Freplay`](.\u002Fpackages\u002Freplay), [`@isplay\u002Fanalysis`](.\u002Fpackages\u002Fanalysis): API, replay engine, and evidence-bounded analysis.\n\nFor the full package map, CLI reference, and integration guides, use the [docs](https:\u002F\u002Fisplay.dev\u002Fdocs).\n\n## License\n\nMIT\n","isplay 是一个用于理解和调试AI代理决策的工具。它通过捕获运行、重放假设以及使用差异、指标和有效性标签来解释代理行为，为用户提供可回放的证据。项目采用TypeScript编写，支持多种AI平台适配器，并提供CLI和SDK方便集成与使用。适合需要对AI代理的行为进行深入分析和验证的场景，特别是当传统的日志记录方式不足以满足需求时，可通过该工具实现更精细的决策追踪与测试。",2,"2026-06-11 04:10:06","CREATED_QUERY"]