Add embedding_provider config knob with native support for
openai / dashscope / doubao / zhipu / linkai, plus an in-chat
/memory status and /memory rebuild-index workflow for switching
vendors safely.
- Unified flush + context injection into a single async LLM call
(flush_from_messages accepts context_summary_callback)
- Fixed response parsing bug: handle generator returns and Claude-format
dicts from bot.call_with_tools, which previously caused all LLM
summaries to silently fail (falling back to rule-based extraction)
- Removed standalone context summary prompts and methods; reuse the
existing [DAILY]/[MEMORY] summarization pipeline
- Updated docs (zh/en/ja) to reflect the new injection behavior
- Add knowledge/ directory structure and knowledge-wiki skill for structured knowledge accumulation
- Auto-inject MEMORY.md into system prompt with truncation (last 200 lines)
- Light Dream: extend flush_memory to extract long-term memories into MEMORY.md with date stamps
- Add mandatory knowledge auto-write rules in system prompt (no user confirmation needed)
- Expand MemoryManager.sync() to index knowledge/ files for vector search
- Update RULE.md template with workspace conventions and knowledge guidelines
- Use LLM to summarize discarded context into concise daily memory entries
- Batch trim to half when exceeding max_turns/max_tokens, reducing flush frequency
- Run summarization asynchronously in background thread, no blocking on replies
- Add daily scheduled flush (23:55) as fallback for low-activity days
- Sync trimmed messages back to agent to keep context state consistent
