WeKnora
A self-hosted AI knowledge platform combines cited document Q&A, agent tasks and linked wiki pages, with Ollama inference and offline deployment support.
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WeKnora is a self-hosted AI knowledge platform for teams that want to query documents, carry out tasks using them and organize them into a wiki. These functions share the same knowledge bases.
- Answers with citations Combine keyword and semantic search to answer questions with links to source material, using PDFs, Office files, images or content synced from Confluence, GitLab, Notion and Feishu.
- Agent tasks Search knowledge bases and the web, call MCP tools, run skills and create files in a sandbox, with an interactive terminal and graphical desktop for inspection or manual takeover.
- Linked wiki pages Generate pages and a knowledge graph from documents, then edit pages, compare revisions and restore earlier versions.
- Browser and AI access BrowserSkill lets the agent operate your Chrome or Edge and hand control back for logins and CAPTCHAs; a built-in MCP server makes knowledge bases accessible to Claude and Cursor.
- Team controls Manage workspace permissions and scoped API access, connect OIDC identity services and review workspace audit logs.
WeKnora supports Docker, Kubernetes, a single-machine edition and a desktop app, with offline and private-cloud deployments. Ollama provides local inference, and model, database and storage backends are replaceable. Local deployments can keep data in your environment; optional cloud models and external services receive the requests sent to them.
A separate hosted service provides knowledge Q&A for WeChat Official Accounts and Mini Programs.