# Grover Research

Research documents exploring the landscape of virtual file systems, database-backed storage, and AI agent frameworks — with a focus on identifying expansion opportunities for Grover.

## Documents

| Document | Contents |
|----------|----------|
| [landscape-overview.md](landscape-overview.md) | Executive summary: competitive positioning, market landscape, and prioritized expansion opportunities |
| [deepagents-analysis.md](deepagents-analysis.md) | Deep dive into the deepagents package (v0.4.1) — architecture, backends, middleware, integration points |
| [ai-agent-filesystems.md](ai-agent-filesystems.md) | How AI agent frameworks, code agents, and MCP handle file systems and storage |
| [database-vfs-patterns.md](database-vfs-patterns.md) | Database-native file systems, version-controlled storage, CAS, CoW, multi-tenancy patterns |
| [agent-memory-context.md](agent-memory-context.md) | AI agent memory systems, context engineering, sandboxed execution environments |
| [grover-baseline.md](grover-baseline.md) | Complete inventory of Grover's current feature set, API surface, and known limitations |
| [expansion-opportunities.md](expansion-opportunities.md) | Detailed writeup of each expansion opportunity with rationale, effort estimates, and dependencies |

## Date

Research conducted: 2026-02-17
