An open-source memory layer specifically designed for coding agents, compatible with Cursor, Claude Code, Windsurf, and other IDEs through MCP integration, enabling auto-generated AI coding memories that scale with your codebase.
One-Minute Overview#
Byterover Cipher is an open-source memory layer designed for coding agents that enables AI assistants to remember your codebase and interaction history. Whether you work with different coding tools, Cipher provides persistent learning capabilities, allowing seamless context switching between IDEs and sharing programming memories with your team.
Core Value: Provides persistent memory capabilities for AI coding assistants, improving coding efficiency and facilitating team collaboration.
Quick Start#
Installation Difficulty: Low - Simple global NPM installation available, production deployment requires vector database setup
# Install globally (recommended for most users)
npm install -g @byterover/cipher
# Or install locally in your project
npm install @byterover/cipher
Is this suitable for my scenario?
- ✅ Individual Developers: Want your AI assistant to remember your coding habits and project structure
- ✅ Team Collaboration: Need to share coding knowledge and best practices
- ✅ Multi-environment Work: Switch between different IDEs while maintaining context continuity
- ❌ Simple Script Projects: Might be overkill for small, one-off projects
Core Capabilities#
1. Dual Memory Layer - Solving AI Assistant Forgetting Issues#
- Captures both "System 1" (programming concepts, business logic, past interactions) and "System 2" (reasoning steps of the model)
- Provides context-aware coding suggestions and solutions Actual Value: AI assistants remember your project architecture and decision logic, no longer repeating the same questions
2. Deep MCP Integration - Solving Cross-platform Compatibility Issues#
- Supports 11+ mainstream coding tools including Cursor, Claude Code, Windsurf, VS Code
- Seamless integration through MCP protocol with zero configuration required Actual Value: Consistent enhanced AI experience regardless of your preferred tools
3. Team Workspace Memory - Solving Knowledge Silos#
- Real-time sharing of coding memories and solutions
- Team knowledge graph construction and maintenance Actual Value: New team members get up to speed quickly, teams avoid reinventing the wheel
4. Intelligent Knowledge Extraction - Solving Information Organization Issues#
- Automatic identification and extraction of important code patterns
- Semantic search and reasoning pattern analysis Actual Value: Quickly locate relevant code and solutions, improving problem-solving efficiency
Technical Stack & Integration#
Development Languages: TypeScript, JavaScript Key Dependencies: Node.js, LLM providers (OpenAI, Anthropic, etc.), Vector databases (Qdrant, Milvus) Integration Methods: MCP server, CLI tool, Web UI
Maintenance Status#
- Development Activity: Actively developed with regular updates
- Recent Updates: Recent version releases with feature iterations
- Community Response: Active Discord community with regular user support
Commercial & Licensing#
License: Elastic License 2.0
- ✅ Commercial Use: Allowed with license compliance
- ✅ Modification: Source code modification allowed
- ⚠️ Restrictions: Elastic License 2.0 has specific usage restrictions, not OSI-approved open source
Documentation & Learning Resources#
- Documentation Quality: Comprehensive
- Official Documentation: https://github.com/campfirein/cipher/blob/main/docs
- Example Code: Complete examples and video tutorials available
- Learning Resources: YouTube video tutorials and detailed configuration guides