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- Telegram/multi-account default routing clarity: warn only for ambiguous (2+) account setups without an explicit default, add `openclaw doctor` warnings for missing/invalid multi-account defaults across channels, and document explicit-default guidance for channel routing and Telegram config. (#32544) thanks @Sid-Qin.
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- Telegram/plugin outbound hook parity: run `message_sending` + `message_sent` in Telegram reply delivery, include reply-path hook metadata (`mediaUrls`, `threadId`), and report `message_sent.success=false` when hooks blank text and no outbound message is delivered. (#32649) Thanks @KimGLee.
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- Agents/Skills runtime loading: propagate run config into embedded attempt and compaction skill-entry loading so explicitly enabled bundled companion skills are discovered consistently when skill snapshots do not already provide resolved entries. Thanks @gumadeiras.
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- Agents/Session startup date grounding: substitute `YYYY-MM-DD` placeholders in startup/post-compaction AGENTS context and append runtime current-time lines for `/new` and `/reset` prompts so daily-memory references resolve correctly. (#32381) Thanks @chengzhichao-xydt.
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- Agents/Compaction continuity: expand staged-summary merge instructions to preserve active task status, batch progress, latest user request, and follow-up commitments so compaction handoffs retain in-flight work context. (#8903) thanks @joetomasone.
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- Gateway/status self version reporting: make Gateway self version in `openclaw status` prefer runtime `VERSION` (while preserving explicit `OPENCLAW_VERSION` override), preventing stale post-upgrade app version output. (#32655) thanks @liuxiaopai-ai.
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- Memory/QMD index isolation: set `QMD_CONFIG_DIR` alongside `XDG_CONFIG_HOME` so QMD config state stays per-agent despite upstream XDG handling bugs, preventing cross-agent collection indexing and excess disk/CPU usage. (#27028) thanks @HenryLoenwind.
"A new session was started via /new or /reset. Execute your Session Startup sequence now - read the required files before responding to the user. Then greet the user in your configured persona, if one is provided. Be yourself - use your defined voice, mannerisms, and mood. Keep it to 1-3 sentences and ask what they want to do. If the runtime model differs from default_model in the system prompt, mention the default model. Do not mention internal steps, files, tools, or reasoning.";
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/**
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* Build the bare session reset prompt, appending the current date/time so agents
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* know which daily memory files to read during their Session Startup sequence.
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* Without this, agents on /new or /reset guess the date from their training cutoff.
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