- Add Apache 2.0 license badge to both README.md and README_CN.md
- Add Python 3.12+ version badge with logo
- Add Gitee Sync workflow status badge linking to GitHub Actions
- Improve project visibility with standardized badge indicators
- Replace BROKER_URL and RESULT_BACKEND with REDIS_DB_CELERY_BROKER and REDIS_DB_CELERY_BACKEND in README.md
- Replace BROKER_URL and RESULT_BACKEND with REDIS_DB_CELERY_BROKER and REDIS_DB_CELERY_BACKEND in README_CN.md
- Update api/env.example with new variable names and add deprecation notice
- Add reference to celery-env-bug-report.md documentation explaining why old variable names are avoided
- Prevents environment variable hijacking by Celery CLI when using standard naming conventions
* refactor(celery): optimize task routing and worker configuration
- Simplify Celery queue configuration with single default 'io_tasks' queue
- Implement task routing strategy separating IO-bound and CPU-bound tasks
- Add Flower monitoring support with task event tracking enabled
- Add summary node search optimization to only retrieve summary nodes
- Clean up unused imports and reorganize import statements for consistency
- Update docker-compose configuration to support multi-queue worker setup
* chore(celery): simplify flower configuration and add gevent dependency
* chore(dependencies): add gevent dependency to requirements
- Add gevent==24.11.1 to api/requirements.txt
- Gevent is required for async worker support in Celery
- Complements existing flower and celery configuration
* refactor(celery): simplify async event loop handling and reorganize task queues
- Replace complex nest_asyncio and manual event loop management with asyncio.run() in read_message_task, write_message_task, regenerate_memory_cache, and workspace_reflection_task
- Rename task queues from io_tasks/cpu_tasks to memory_tasks/document_tasks for better semantic clarity
- Update task routing configuration to reflect new queue names for memory agent tasks and document processing tasks
- Remove redundant exception handling comments and simplify error handling logic
- Update README with improved community support section including GitHub Issues, Pull Requests, Discussions, and WeChat community links
- Simplifies event loop management by leveraging asyncio.run() which handles loop creation and cleanup automatically, reducing code complexity and potential race conditions
* [add]修改迁移文件新建空白表结构
* Add installation guide and environment setup
Added installation instructions and environment requirements for MemoryBear.
* [delete]删除api，web的readme.md。只保留唯一readme.md
* Fix database connection example in README
Update database connection configuration example in README.
