Releases: QoderAI/changelog
Bug fixes
Qoder Community Edition Officially Released
Qoder Free Edition has been upgraded to Community Edition. The Community Edition will continue to provide Qoder's core capabilities, including code completion, Agentic Chat, Quest mode, RepoWiki, and more, helping developers efficiently complete daily development and collaboration tasks. Meanwhile, the Community Edition has opened BYOK (Bring Your Own Key), supporting users to connect their own model services for more flexible configuration and usage.
Features
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Support for custom model integration (BYOK): The Community Edition now supports configuring and using custom models in the client, meeting more flexible model selection and integration requirements.
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Support for mainstream domestic MaaS vendors: Currently supports integration with multiple mainstream domestic MaaS services, including: Alibaba Cloud Baillan, Kimi, DeepSeek, Z.ai, MiniMax.
Improvements
- Optimized Chat performance
Ultimate Model Upgrade, Comprehensive Capability Enhancement
Features
- Ultimate Model Grading Fully Evolved: Equipped with the latest top-tier models, achieving comprehensive improvements in complex task reasoning, instruction understanding, and visual performance, with limited-time half-price event launched simultaneously.
Improvements
- Enhanced ultra-long session experience, improving fluency and usability in extended conversation scenarios.
- Linux environment compatibility with lower version glibc, expanding the range of supported runtime environments.
- Maximum MCP service connection limit removed, supporting more flexible access and management.
Improvements
- Minor Agent improvements.
Improvements
- Improved resilience under unstable network conditions.
Chat Revert Experience Optimization and Retrieval Efficiency Improvement
Features
- Clearer chat revert operation: Optimized interactive feedback after Revert trigger to help users more intuitively understand the rollback scope and current status.
Improvements
- Optimized model traffic distribution strategy for search-related Agents to improve stability and response effectiveness for retrieval tasks.
Behavior Recommendation Card Launch and Multiple Stability Optimizations
Features
- New Behavior Recommendation Card: Intelligently provides next-step behavior recommendations based on current usage scenarios, improving operational efficiency and user experience.
Improvements
- Added Agent execution loop detection to reduce interruptions and resource consumption caused by abnormal repeated executions
- Search Agent adds Wiki tool, supporting access to more knowledge retrieval sources during task processes
- Optimized processing strategies for ultra-long thinking scenarios, supporting automatic retry and guidance for continued execution in extreme cases to improve task continuity
- Reduced package size, enhancing download, installation, and update decompression speeds;