Governed shared memory platform for AI agents and agent fleets. Provides persistent memory, cross-agent knowledge sharing, permissions, audit trails, and multi-tenant isolation through a Model Context Protocol (MCP) server.
An MCP-native agentic platform orchestrating planner/executor/critic agents over hybrid RAG with three-tier memory, budget enforcement, safety guardrails, and full observability. It exposes all capabilities as MCP tools, enabling natural-language control of document ingestion, retrieval-augmented generation, and multi-step AI workflows.
Enables AI agents to maintain and query project memory independently of the underlying model, with versioned, auditable storage and multi-stage retrieval through a single MCP gateway.
Provides AI agents with operational customer context, including typed revenue objects, persistent state, scoped tools, and human-in-the-loop handoffs through MCP, REST, and CLI.
Enterprise-grade AI memory infrastructure with multi-agent support, providing 122 MCP tools for memory management, agent coordination, and cross-language SDKs.
An auditable memory, lifecycle, and governance server for AI agents, providing durable memories with provenance, lifecycle management, and guarded workflows through the Model Context Protocol.
