Backend:
- New /api/v1/agents/{id}/memory endpoints: CRUD for global_knowledge,
knowledge_entities, learning_patterns, vector_memories + import/export
- Fix scope_id column overflow: 3 model columns expanded to hold compound
keys (user_id:agent_id format, 73 chars vs old VARCHAR(36))
- Config: allow unknown env vars (extra="ignore") for optional overrides
Android:
- MemoryManageScreen: 4-tab UI (全局知识/知识实体/学习模式/对话记忆)
with search, delete, and FAB to add new entries
- Import/export via ShareSheet and file picker
- AgentListScreen: long-press dropdown menu → 记忆管理 entry point
- NavGraph: memory_manage/{agentId}/{agentName} route with URL encoding
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Backend:
- Add ChatMessage model + Alembic migration 024
- Add on_message callback to AgentRuntime for persisting messages during SSE streaming
- Plumb session_id from ChatRequest to AgentContext in all 4 chat endpoints
- Add GET /agent-chat/{id}/sessions and /sessions/{sid}/messages with cursor pagination
Android:
- Add DTOs/ApiService/MessageDao for server-side chat history
- ChatRepository: fetchOlderMessages (API + Room cache), offline fallback
- ChatViewModel: loadMoreHistory with isLoadingMore/hasMoreMessages state
- ChatScreen: scroll-to-top detection + top loading indicator
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- Fix delete agent 500: clean up FK records (agent_llm_logs, permissions,
schedules, executions, team_members) and unbind goals/tasks before delete
- Remove hardcoded personality templates in Android, replace with dynamic
system prompt generation from name + description
- Set promptSectionsEnabled=false to bypass PromptComposer for personality
- Add Tencent Cloud Linux deployment guide (Docker Compose)
- Accumulated backend service updates, frontend UI fixes, Android app changes
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- New pages: DigitalEmployeeFactory.vue (goal grid + create dialog), GoalDetail.vue (task tree + progress)
- New store: goal.ts (Pinia store with full Goal/Task API bindings)
- Router: add /digital-employees and /goals/:id routes
- MainLayout: add "数字员工工厂" nav menu item with UserFilled icon
- Schedule model: add schedule_type, goal_id, goal_config for Goal-type cron scheduling
- Schedule service: add _create_execution_for_goal_schedule for periodic Goal creation
- Migration 014: add schedule_type/goal_id/goal_config columns to agent_schedules
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Implement per-app open_id storage via user_feishu_open_ids table with
union_id-based cross-app user identification. WS handlers now auto-capture
open_id+union_id and resolve/associate user accounts. Schedule notifications
route through the correct bot's open_id instead of always falling back to 苹果.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- 4.1 Fallback chain: LLM fallback_llm config in AgentLLMConfig, retry with alternate model on API failure; Agent fallback_agent in DAG nodes
- 4.2 Knowledge sharing: GlobalKnowledge model with embedding-based semantic search, auto-extraction of tool names as tags after execution
- 4.3 Async execution: execute_agent_task fully implemented with AgentRuntime, scheduler dual-path for workflow/non-workflow agents
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- Add enterprise_review tool (35th builtin) for LLM-based quality assessment
- Add evaluator workflow node type for quality gating in DAG
- Add AgentRuntime built-in self-review with auto-correction loop
- Rewrite error_handler node from stub to real retry mechanism
- Add engine-level per-node retry with configurable max_retries/delay/on_exhausted
- Add AgentExtension model for extension tracking
- Enhance validation in agent_create_tool and tool_register_tool
- Update 全能助手 system prompt with self-evolution workflow
- Docs: 缺失能力.md and 解决缺失能力计划.md
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
