Your data, always in sync.
Pull from Notion, GitHub, Slack, Google Drive, OneDrive, and S3. Configure once — your AI agent's context stays fresh automatically without manual copy-pasting.
Your agent's knowledge is always stale.
Manual File Parsing
Extracting clean text from multi-format PDFs, docx, and markdowns manually is tedious and fails to scale.
Scattered Knowledge
Documentation lives in Notion, discussions in Slack, and code changes in GitHub PRs — with no unified memory layer.
Stale Context Window
When requirements change or team docs are revised, AI assistants continue working off obsolete premises.
Set once. Always fresh.
Ingest via API, Webhooks or Upload
Upload files, receive GitHub/Notion webhook payloads, or call our url-ingestion endpoint directly via httpx (HTTP/2 enabled).
Celery Background Queue
Workers process raw content, stripping HTML boilerplate, navigational elements, and scripts to prevent token bloat.
Realtime WebSocket Broadcasts
Once processed, the server broadcasts an update event to instantly refresh all active client MCP servers in under 300ms.
{
"url": "https://docs.example.com/api-architecture",
"tags": [
"kubernetes",
"deployment"
],
"auto_approve": true
}Connect everything your team uses.
Technical specifications of our sync engine.
Memwyre’s data connectors integrate directly into your team's existing workflow. The sync engine monitors third-party APIs (including Notion, Google Drive, Slack, GitHub, and AWS S3) and ingests new updates into your memory vault. For databases like Notion, the connector polls authorized pages and transforms blocks into structured Markdown arrays.
When processing file attachments from Google Drive or local uploads (PDF, Docx, or raw text), the system extracts raw text and passes it to our parsing queue. This Celery-backed ingestion pipeline strips navigation elements, scripts, and null bytes, preventing database errors and eliminating useless token bloat before indexing.
For engineering teams, the GitHub connector maps commits, pull request changes, and issues into relational entities using lightweight webhooks. In team chats like Slack, the bot is invited via /invite @Memwyre and strictly respects privacy by ignoring direct messages and any message marked with sensitive tags such as [private] or [secret].
To ensure secure connectivity, all third-party integrations utilize OAuth 2.0 authorization flows. The tokens are encrypted at rest using AES-256-GCM and stored within an isolated vault environment. The connector orchestrator supports customizable sync schedules (ranging from real-time webhook updates to hourly or daily cron cycles) guaranteeing that background workers stay well within platform rate limits.
Context infrastructure
for AI agents.
Stop importing. Start connecting. Set up your first data stream in minutes.
