8 commits

Author	SHA1	Message	Date
jinli.yl	4e5ba45eaf	feat(agent): implement asynchronous tool execution for React agent	2025-11-21 15:09:56 +08:00
jinli.yl	dc1ebec174	feat(agent): integrate batch file writing with context offload	2025-11-21 14:59:12 +08:00
jinli.yl	396f9c7e6b	refactor(agent): convert build methods to async	2025-11-20 17:40:28 +08:00
jinli.yl	2ff75fd580	feat(agent): add agentic retrieve operator with RAG-friendly tools	2025-11-20 17:01:29 +08:00
jinli.yl	73668f051e	feat(core): add pre-commit hooks and improve module documentation	2025-11-07 14:14:11 +08:00
jinli.yl	12f0b7d124	feat(agent): implement mock search tools and tool memory benchmark ... - Added LLMMockSearchOp for simulating search operations with configurable complexity- Created SearchToolA, SearchToolB, and SearchToolC with distinct performance profiles- Implemented UseMockSearchOp for intelligent tool selection based on query analysis - Added test scripts and query datasets for evaluating tool memory effectiveness - Integrated tool memory service for storing and retrieving tool performance data - Created documentation for tool memory benchmark testing methodology - Refactored agent module structure and imports - Increased summary tool memory recent call count from20 to 30	2025-10-16 23:31:50 +08:00
jinli.yl	8600015632	refactor(reme_ai): rename and restructure modules for better organization ... - Rename `worker` to `op` for operation classes - Remove `memoryscope` package - Create `constants` package with common constants - Update module imports and class names accordingly	2025-08-27 17:05:40 +08:00
jinli.yl	9fb7aa4e78	feat(agent): add agent module and update related components ... - Add agent module to reme_ai package - Update retrieve module to include agent-related functionality - Modify summary module to use new agent features - Update configuration to support agent operations	2025-08-27 11:37:14 +08:00