Devlog
Provides a persistent memory system to combat AI memory loss in large-scale coding projects.
About
Devlog is a comprehensive development logging system designed to overcome the critical problem of AI memory loss during extended development sessions. It acts as persistent, structured memory for AI assistants, maintaining context across sessions and enabling them to work effectively on large codebases. By tracking tasks, decisions, and progress through structured logs, Devlog ensures AI assistants can recall past work, prevent duplication, and maintain project understanding, enhancing productivity and consistency in AI-assisted development.
Key Features
- Data Integrity & Reliability through deterministic IDs and multiple storage backends
- Comprehensive Task Management including work type, status, and priority tracking
- Enterprise Integration with platforms like Jira, GitHub, and Azure DevOps
- Persistent AI Memory with cross-session continuity and context reconstruction
- 2 GitHub stars
- Advanced Search & Discovery with semantic search and multi-dimensional filtering
Use Cases
- Synchronizing development logs with existing enterprise project management platforms
- Managing and tracking tasks, decisions, and progress for human and AI developers on large codebases
- Enabling AI assistants to maintain project context and continuity across development sessions