Contexthub — AI skill for Claude Code

ContextHub

An open-source, MCP-accessible context layer for AI agents and LLMs.

ContextHub gives every agent you use — Claude Code, Cursor, your own scripts — a single, self-updating memory drawn from the apps you actually live in. You decide, per-call, what each agent is allowed to see.

It is built around three ideas:

1. One store, many agents. Connectors pull from your sources into a single local SQLite database. Every MCP client talks to the same memory.
2. Ship lines, not documents. A line-level scorer assembles only the spans that answer the query, instead of dumping whole chunks into the prompt.
3. Permissions are part of retrieval. Scope policies filter the candidate set before scoring, so blocked content never reaches the model.

Status: working MVP. Local-only, no auth. Ships with an interactive web console, a CLI, an MCP server, four example connectors (incl. paste-to-ingest), hybrid FTS5 retrieval, and a full unit-test suite. Use it as a starting point — not a hosted product.

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Architecture

┌──────────────┐    ┌──────────────────┐    ┌──────────────┐
│  Connectors  │ →  │ Ingestion + tag- │ →  │  SQLite db   │
│ (gh, md, …)  │    │ ger + segmenter  │    │ items, lines │
└──────────────┘    └──────────────────┘    └──────┬───────┘
                                                   │
                                ┌──────────────────┴──────────────────┐
                                │     Permission policy (scopes)      │
                                └──────────────────┬──────────────────┘
                                                   │
                                ┌──────────────────┴──────────────────┐
                                │   Line-level retrieval scorer       │
                                └──────────────────┬──────────────────┘
                                                   │
                                ┌──────────────────┴──────────────────┐