ReMe/reme/memory
jinli.yl fa249a3e38 feat(components): add Anthropic LLM support and enhance component architecture
- Integrate AnthropicChatModel with new AnthropicAsLLM component
- Add component formatters for OpenAI and Anthropic chat models
- Implement token counter component with estimated token counting
- Create base client component for ReMe service communication
- Refactor BaseComponent to remove app_context parameter from _start/_close
- Update embedding model base class to remove retry logic and use npz cache
- Add job component for sequential step execution with BaseJob
- Implement step component base class for LLM workflow execution
- Enhance application context with proper type annotations
- Update component initialization to pass app_context automatically
- Remove asyncio dependency from embedding model cache operations
2026-04-23 14:18:57 +08:00
..
file_based feat(compactor): add extra instruction support and improve error handing (#190) 2026-03-31 16:22:39 +08:00
vector_based feat(components): add Anthropic LLM support and enhance component architecture 2026-04-23 14:18:57 +08:00
vector_tools feat(memory): add ContextChecker component for context size management (#144) 2026-03-06 23:43:42 +08:00
__init__.py feat(memory): add ContextChecker component for context size management (#144) 2026-03-06 23:43:42 +08:00