graphjin vs mirage
Go compiler + runtime exposing databases, warehouses, files and code as one governed GraphQL + MCP graph for agents — catalog-first discovery, allow-lists, built-in agent, standing watches. — versus — Unified virtual filesystem for AI agents — mounts S3, Slack, Gmail, Postgres and ~50 backends as one tree so any bash-speaking LLM can grep and pipe across services. Snapshotable, embeddable.
Both unify many backends (Postgres, S3, SaaS) into one surface an agent can explore; Mirage mounts them as a filesystem for bash, GraphJin as a typed, permissioned GraphQL graph.
| graphjin | mirage | |
|---|---|---|
| Stars | 3.2k | 3.8k |
| Forks | 207 | 279 |
| Language | Go | TypeScript |
| License | Apache-2.0 | Apache-2.0 |
| Last activity | 5 days ago | yesterday |
| Topics | data | agents, coding |
| Curated connections | 4 | 8 |
graphjin — the curator's take
Use it when agents need to query real company data across Postgres/MySQL/Mongo/Snowflake/S3 without raw credentials: discovery-before-action, read-only boundaries, allow-listed queries and audit come built in, and the same binary serves your apps as a GraphQL/REST API. Skip it if you only need one DB behind a single text-to-SQL tool, or want curated metric definitions — a semantic layer fits better; the surface area here is large and opinionated.
mirage — the curator's take
One interface instead of N SDKs and M MCP servers: mount S3, Slack, Gmail, GitHub, Postgres, Redis (~50 backends) side-by-side as one filesystem, and any LLM that already knows bash can cat, grep and pipe across all of them with zero new tool vocabulary — plus per-resource command overrides (cat a Parquet as JSON rows), snapshotable/portable workspaces, and in-process Python/TS SDKs with OpenAI Agents/LangChain/Pydantic AI adapters and a CLI+daemon for Claude Code/Codex. Reach for it when your agent touches many external systems and tool-schema sprawl is eating your context window. NOT for a single data source (just use its SDK), heavy binary/streaming workloads, or Windows — FUSE mounts need macOS/Linux.