MCP Servers

@git-fabric/aiana

A composable semantic memory layer that provides cross-project recall and session context using Qdrant and OpenAI embeddings. It enables users to securely store, search, and manage persistent memories with built-in secret scrubbing for privacy.

README

@git-fabric/aiana

Aiana memory fabric app — semantic memory, session context, and cross-project recall as a composable MCP layer.

Part of the git-fabric ecosystem.

Tools

Tool	Description
`aiana_memory_search`	Semantic search over stored memories
`aiana_memory_add`	Store a new memory (auto-scrubbed for secrets)
`aiana_memory_recall`	Recall top-N relevant memories for a project
`aiana_memory_delete`	Permanently delete a memory by ID
`aiana_memory_export`	Export all memories as a JSONL-compatible array
`aiana_memory_import`	Import memories from an exported array
`aiana_session_list`	List sessions grouped by project
`aiana_preference_add`	Store a user preference (type=preference memory)
`aiana_memory_feedback`	Record helpfulness feedback on a recalled memory
`aiana_status`	Collection stats: count, by-project breakdown, model
`aiana_health`	Ping Qdrant Cloud, return latency

Architecture

Follows the git-fabric layered pattern:

Detection / Query  →  layers/memories.ts (searchMemories, recallProjectContext)
Action             →  layers/memories.ts (addMemory, deleteMemory, import/export)
Sessions           →  layers/sessions.ts (read-only, derived from memory sessionIds)
Scrubbing          →  layers/scrub.ts (PII/secret redaction before embed+store)
Adapter            →  adapters/env.ts (Qdrant REST + OpenAI embeddings)
Surface            →  app.ts (FabricApp factory with 11 inline tools)

Zero footprint: no local state, no SQLite, no Redis. Qdrant Cloud is the only store.

Qdrant collection

Property	Value
Collection	`aiana_fabric__memories__v1`
Dimensions	1536
Distance	Cosine
Embedding model	`text-embedding-3-small`

Usage

Via gateway (recommended)

# gateway.yaml
apps:
  - name: "@git-fabric/aiana"
    enabled: true

Standalone MCP server

QDRANT_URL=https://xxx.qdrant.io:6333 \
QDRANT_API_KEY=your-key \
OPENAI_API_KEY=sk-... \
npx @git-fabric/aiana

Programmatic

import { createApp } from "@git-fabric/aiana";

const app = createApp();
// app.tools, app.health(), etc.

Environment Variables

Variable	Required	Description
`QDRANT_URL`	Yes	Qdrant Cloud base URL (e.g. `https://xxx.us-west-1-0.aws.cloud.qdrant.io:6333`)
`QDRANT_API_KEY`	Yes	Qdrant Cloud API key
`OPENAI_API_KEY`	Yes	OpenAI API key for `text-embedding-3-small` embeddings

Secret scrubbing

All content is scrubbed before embedding and storage. Redacted patterns:

GitHub tokens (ghp_, ghs_, github_pat_)
OpenAI keys (sk-...)
Bearer tokens in headers
JWT tokens (3-part base64)
Password patterns

License

MIT

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