Red Arch Knowledge Manager vs Slite

Red Arch Knowledge Manager is an open-source, self-hostable platform combining organizational knowledge, AI chat, content management, workflows, customer integration, and learning management. Its AI search answers questions from organizational content using semantic and keyword search with passage-level citations. Folders and spaces can have document and folder permissions that also govern search and AI chat. A visual no-code BPMN builder supports form, schedule, event, and inbound-webhook triggers, plus AI steps, approvals, branching, and notifications. Users can create courses from documents, run server-graded quizzes and AI-graded scenarios, issue certificates, and view learner progress dashboards. A versioned REST API, organization-scoped keys, and HMAC-signed webhooks connect other systems. An MCP server lets assistants such as Claude and Cursor build entities, forms, views, reports, and workflows while respecting permissions. Docker and Compose support deployment. The Apache License 2.0 permits commercial use, modification, and redistribution. The listed plan costs nothing with no per-seat pricing.

Slite is an AI knowledge base for teams, with tools for keeping shared information accurate and verified. Its Knowledge Management Panel surfaces documents that need attention and supports bulk actions; verification helps teams identify relevant information. Slite Agent searches connected tools, detects knowledge drift, drafts document changes, and routes them to a reviewer. Integrations include Google Drive, Slack, Linear, GitHub, Jira, Notion, Airtable, and BigQuery, with Figma and Loom embeds. The Basic plan includes MCP and API access; Slite describes using verified knowledge with tools such as Claude, ChatGPT, and Cursor. Basic costs $10.00 per user per month billed yearly, and Pro costs $20.00 per user per month billed yearly. Signup starts a 14-day trial of Basic and Pro features without a credit card; a subscription is required afterward, and there is no free plan. Slite says production data is hosted in the EU, protected with TLS in transit, and encrypted at rest. It does not currently offer end-to-end encryption. The company says customer data used for AI features is not used to train external models.