Security Enhancement:
- Remove external port exposure for PostgreSQL and Neo4j databases
- Replace 'ports' with 'expose' for internal-only database access
- Maintain full internal connectivity while eliminating external attack vectors
- Follow container security best practices
Benchmarking Framework:
- Add agent1.md: Professional Manager persona testing protocol
- Add agent2.md: Creative Researcher persona testing protocol
- Add benchmark1.md: Baseline test results and analysis
Benchmark Results Summary:
- Core engine quality: 4.9/5 average across both agent personas
- Memory intelligence: Exceptional context retention and relationship inference
- Automatic relationship generation: 50+ meaningful connections from minimal inputs
- Multi-project context management: Seamless switching with persistent context
- Cross-domain synthesis: AI-native capabilities for knowledge work enhancement
Key Findings:
- Core memory technology provides strong competitive moat
- Memory-enhanced conversations unique in market
- Ready for frontend wrapper development
- Establishes quality baseline for future model comparisons
Future Use: Framework enables systematic comparison across different
LLM endpoints, models, and configurations using identical test protocols.
