AgentWiki is a centralized, enterprise-grade knowledge management platform designed to serve both human team members and AI agents as a single source of truth. By breaking down data silos between various storage platforms, it provides a unified workspace where documentation, files, and intelligence can coexist, preventing the fragmentation often found when relying on disjointed services. It addresses the common challenge of 'AI blindness,' where coding assistants and agents struggle to access internal organizational knowledge, by providing a structured, indexed, and queryable repository that is natively accessible to automated systems. The platform emphasizes deep integration and high-performance search, ensuring that knowledge is not just stored, but active and usable by the entire technical stack.

Functionality centers on providing a dual-access repository that allows humans to manage information through a block-based editor and AI agents to access that same information via robust APIs and CLI tools. It employs advanced indexing techniques to ensure that all data, including vectorized media files, is instantly discoverable, while a dynamic knowledge graph maps relationships between concepts to surface previously hidden connections.

Some of the key features are:

• Hybrid Search: Combines traditional keyword matching with AI-powered semantic search to ensure relevant document retrieval regardless of precise terminology.
• API & CLI Access: Offers a comprehensive REST API with 20+ endpoints and dedicated command-line tools for seamless terminal-based workflows.
• Smart Storage: Features automatic vectorization for images, PDFs, and documents, allowing AI models to extract and search through non-textual data.
• Knowledge Graph: Automatically maps relationships between documents to build a neural network of linked ideas and hidden patterns.
• Enterprise Security: Provides multi-tenant isolation, RBAC roles, audit logging, and OAuth SSO to maintain strict compliance standards.
• Rich Block Editor: Includes a modern editor with real-time collaboration, version history, and support for wikilinks between documents.

Operationally, AgentWiki acts as a central repository where teams consolidate information that was previously scattered. Users can interact with the system via a web interface or integrate it directly into their existing AI-driven development environment. Because the platform supports programmatic access, AI agents can be configured to query the knowledge base in real-time, effectively eliminating hallucinations by providing accurate, up-to-date documentation context during automated tasks or development processes.

Some common use cases include:

• AI Coding Assistance: Integrating with tools like Cursor or Claude Code to provide LLMs with context-aware access to internal project documentation and architectural guidelines.
• Centralized Documentation: Replacing fragmented wikis with a single source of truth that is easily navigable by both team members and software processes.
• Automated Research: Using the API to feed internal company knowledge into autonomous agents for report generation, issue triage, or technical support assistance.
• Visual Asset Management: Utilizing AI-powered image vectorization to search through large media libraries using natural language queries rather than manual tags.