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We got so fed up with AI forgetting everything that we built a (free, open source) solution, and it actually works!
r/SideProject
7/8/2025
Content Summary
Developers created Basic Memory, a free open-source solution addressing AI's context retention problem. The tool integrates with Claude AI and Obsidian notes, creating a shared editable memory system stored locally. It preserves conversation context across sessions, enables collaborative editing between user and AI, and has gained traction with 1100+ GitHub stars and active Discord community.
Opinion Analysis
Mainstream opinions praise the solution's effectiveness in solving AI memory limitations. Users appreciate:\n1. Local storage addressing privacy concerns\n2. Obsidian integration enhancing workflow\n3. Open source nature building trust\n\nKey debates focus on:\n- Scalability of local storage approach\n- Potential enterprise features for IP protection\n- Long-term maintenance of open source project\n\nControversial aspects:\n- Some question if this addresses core LLM limitations\n- Concerns about manual note management overhead
SAAS TOOLS
| SaaS | URL | Category | Features/Notes |
|---|---|---|---|
| Basic Memory | https://basicmemory.com | AI Memory Management | - Open source\n- Local storage\n- Two-way editing\n- Integration with Obsidian & Claude\n- Conversation history tracking |
| Obsidian | https://obsidian.md | Note-taking | - Markdown support\n- Local file storage\n- Customizable workflows |
| Claude Desktop | N/A | AI Assistant | - LLM with memory limitations\n- Requires external memory solutions |
USER NEEDS
Pain Points:
- AI assistants forget conversation context between sessions
- Existing memory implementations feel arbitrary and limited
- Privacy concerns with cloud-based memory storage
- Difficulty maintaining continuity in long-term projects
Problems to Solve:
- Preserving conversation context across multiple AI interactions
- Creating shared editable memory between users and AI
- Protecting intellectual property in AI-assisted workflows
- Building cumulative knowledge for research projects
Potential Solutions:
- Local storage of conversation memories
- Two-way editable memory system
- Integration with existing note-taking tools
- Open source implementation for transparency
GROWTH FACTORS
Effective Strategies:
- Solving core user frustrations with existing solutions
- Leveraging open source model for community trust
Marketing & Acquisition:
- Showcasing practical use cases through demo videos
- Building Discord community for user engagement
- GitHub presence with 1100+ stars for visibility
Monetization & Product:
- Free open source model builds user base
- Potential for premium features or enterprise support
- Strong product-market fit in AI productivity space
User Engagement:
- Active Discord community for support and feedback
- GitHub repository for transparent development
- User-generated workflow innovations