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2.0.20 still truncates internal queries at 500 rows: countPolicies/countEpisodes/countSkills/countWorldModels report 500, and no-limit call sites lose rows (#1954 only changed the ceiling)
area:pluginOpenClaw & HermesOpenClaw & Hermesstatus:readyReady for implementation; waiting for assignee or AI dispatch | 可进入实现，等待认领或派发Ready for implementation; waiting for assignee or AI dispatch | 可进入实现，等待认领或派发types:bugSomething isn't working | 功能异常Something isn't working | 功能异常Status: Open.#2401 In MemTensor/MemOS;[Bug] bridge.mts never passes initLogging - the packaged ESM entry writes no log files
area:pluginOpenClaw & HermesOpenClaw & Hermesstatus:needs-triageNeeds initial triage | 需要初步判断 & 问题复现Needs initial triage | 需要初步判断 & 问题复现Status: Open.#2399 In MemTensor/MemOS;fix: PrefEval classifier counts failed or lowercase judge answers as "Personalized Response"
area:coreMOS 编排层 / 框架底座 / 跨模块问题MOS 编排层 / 框架底座 / 跨模块问题status:needs-triageNeeds initial triage | 需要初步判断 & 问题复现Needs initial triage | 需要初步判断 & 问题复现Status: Open.#2396 In MemTensor/MemOS;GeneralTextMemory reverses Euclidean relevance order from Qdrant
ai:failedAI task failed | AI 任务失败AI task failed | AI 任务失败area:memory记忆存储、检索、更新、召回逻辑记忆存储、检索、更新、召回逻辑status:in-progressSomeone or AI is working on it | 人工或 AI 正在处理Someone or AI is working on it | 人工或 AI 正在处理types:bugSomething isn't working | 功能异常Something isn't working | 功能异常Status: Open.#2387 In MemTensor/MemOS;[Bug] memos-local-plugin 2.0.19: before_prompt_build cold-start hook always times out (15s); orphan-episode replay emits capture_failed 'recovered replay did not match any persisted trace rows'
area:pluginOpenClaw & HermesOpenClaw & Hermesstatus:needs-designNeeds design discussion before implementation | 开发前需要方案设计Needs design discussion before implementation | 开发前需要方案设计types:bugSomething isn't working | 功能异常Something isn't working | 功能异常Status: Open.#2382 In MemTensor/MemOS;[Bug] Overview/health model slots misreport "Not called yet" once the slot's newest api_logs row falls >500 below the head (fixed top-N scan, role filtered after the limit)
ai:taskDispatched to AI coding agent | 已派发给 AI 编码任务Dispatched to AI coding agent | 已派发给 AI 编码任务ai:testingAI agent is running tests | AI 正在运行测试AI agent is running tests | AI 正在运行测试area:pluginOpenClaw & HermesOpenClaw & Hermesstatus:in-progressSomeone or AI is working on it | 人工或 AI 正在处理Someone or AI is working on it | 人工或 AI 正在处理types:bugSomething isn't working | 功能异常Something isn't working | 功能异常Status: Open.#2380 In MemTensor/MemOS;memos-local-plugin daemon log grows unbounded (no rotation); most of its volume is unretried http.exception errors
area:pluginOpenClaw & HermesOpenClaw & Hermesstatus:needs-triageNeeds initial triage | 需要初步判断 & 问题复现Needs initial triage | 需要初步判断 & 问题复现Status: Open.#2379 In MemTensor/MemOS;[Bug] MemOS 2.0.19 untagged cluster
_|_enters L3 abstraction pipeline and causes 100%llm_faileddue to missingtitleai:taskDispatched to AI coding agent | 已派发给 AI 编码任务Dispatched to AI coding agent | 已派发给 AI 编码任务ai:testingAI agent is running tests | AI 正在运行测试AI agent is running tests | AI 正在运行测试area:coreMOS 编排层 / 框架底座 / 跨模块问题MOS 编排层 / 框架底座 / 跨模块问题status:in-progressSomeone or AI is working on it | 人工或 AI 正在处理Someone or AI is working on it | 人工或 AI 正在处理Status: Open.#2374 In MemTensor/MemOS;[Bug] meta.rewardDirty is re-set on episode reopen and never cleared when the episode later reaches a terminal state
ai:taskDispatched to AI coding agent | 已派发给 AI 编码任务Dispatched to AI coding agent | 已派发给 AI 编码任务ai:testingAI agent is running tests | AI 正在运行测试AI agent is running tests | AI 正在运行测试area:pluginOpenClaw & HermesOpenClaw & Hermesstatus:in-progressSomeone or AI is working on it | 人工或 AI 正在处理Someone or AI is working on it | 人工或 AI 正在处理types:bugSomething isn't working | 功能异常Something isn't working | 功能异常Status: Open.#2370 In MemTensor/MemOS;[Bug] Memory extraction hallucinates local time as UTC time (UTC+8 offset)
area:pluginOpenClaw & HermesOpenClaw & Hermesstatus:needs-triageNeeds initial triage | 需要初步判断 & 问题复现Needs initial triage | 需要初步判断 & 问题复现Status: Open.#2369 In MemTensor/MemOS;[Bug] Turn-start skill retrieval bypasses getSkill() entirely — recordUse/recordTrial (and candidate graduation) never fire for the primary skill-consumption path
area:coreMOS 编排层 / 框架底座 / 跨模块问题MOS 编排层 / 框架底座 / 跨模块问题status:needs-product-reviewRequires product owner confirmation before deciding public repo, transfer, or internal backlog.Requires product owner confirmation before deciding public repo, transfer, or internal backlog.types:bugSomething isn't working | 功能异常Something isn't working | 功能异常Status: Open.#2366 In MemTensor/MemOS;[Bug] MIN_ADAPTIVE_BASELINE floor untuned for v2.0.7 normalized backprop reward scale — policy/skill promotion gain capped near-permanently
ai:pr-readyAI-created PR is ready for review | AI 生成的 PR 已等待评审AI-created PR is ready for review | AI 生成的 PR 已等待评审area:coreMOS 编排层 / 框架底座 / 跨模块问题MOS 编排层 / 框架底座 / 跨模块问题status:in-progressSomeone or AI is working on it | 人工或 AI 正在处理Someone or AI is working on it | 人工或 AI 正在处理types:bugSomething isn't working | 功能异常Something isn't working | 功能异常Status: Open.#2364 In MemTensor/MemOS;