Enables AI agents to maintain persistent, searchable two-layer memory with 37 tools, hybrid search, knowledge graphs, and enterprise features like authentication and backups.
Enables deployment of autonomous AI agents with memory and tool execution capabilities through a WebSocket-based MCP protocol. Provides production-ready infrastructure with REST API access, persistent state management, and extensible function registry for building self-hosted AI systems.
A high-performance memory management system for AI agents with 200+ tools including 4-tier memory architecture, advanced RAG pipeline, and Git-like versioning.
A persistent backend that reduces AI agent context window bloat by centralizing memory, tools, and logic, enabling lean prompts and scalable multi-agent architectures.
Provides AI agents with simplified task management through a 4-step workflow (create session, define tasks, execute, complete) that works with any LLM without requiring complex thinking patterns.