Compare
Fine vs MemoryGraph
Focuses on building AI agents rather than providing persistent memory storage.
Side by side
- What it is
- Fine:Build Software with AI Agents.
- MemoryGraph:MemoryGraph provides graph-based persistent memory for AI assistants via the Model Context Protocol.
- Best for
- Fine:General AI agent development
- MemoryGraph:Graph-structured memory for AI agents
- Who it’s for
- Fine:—
- MemoryGraph:Developers building AI coding agents that need long-term, relational memory.
- Pricing
- Fine:Free
- MemoryGraph:Freemium
- Plans
- Fine:—
- MemoryGraph:PRO $5/month per month · ULTRA $50/month per month · TEAM $100/month per month
- Open source
- Fine:—
- MemoryGraph:Yes, 247 GitHub stars
- Works with
- Fine:—
- MemoryGraph:Claude (Desktop/Code), custom GPT implementations, any MCP-compatible assistant
- DevHunt upvotes
- Fine:75
- MemoryGraph:7
- Launched on DevHunt
- Fine:Jan 2023
- MemoryGraph:Dec 2025
MemoryGraph features
- Automatic memory capture. Stores solutions, patterns and decisions automatically as the agent works.
- Graph relationships. Creates typed edges (e.g., SOLVES, DEPENDS_ON) to enable multi-hop, temporal queries.
- Semantic recall. Fuzzy, relevance-based search across stored memories with recall_memories().
- Backend flexibility. Supports SQLite, FalkorDBLite, FalkorDB server, Neo4j, Memgraph and future cloud backend.
- Data portability. Migrate, export to JSON, and rollback memories between backends without lock-in.
- Cloud sync & team workspaces. Managed cloud backend shares memories across devices and teams with SSO support.
Based on each tool's website and DevHunt data. Details may change; check the official sites.