Context-Aware Agents
AI agents are evolving from simple chatbots to autonomous systems that can reason across complex workflows, make decisions, and take actions. But autonomy without context is dangerous, agents need deep, accurate, real-time understanding of their operating environment.
Mantle is the infrastructure that makes autonomous agents trustworthy at enterprise scale. Each query returns quality-scored, provenance-tracked context from across your data estate, so agents act on complete information, not assumptions.
Agent Identity & Memory
In a multi-agent system you need to know which agent did what. Mantle makes each agent a first-class identity: bind an API key to an agent, and every fact it writes, correction it makes, and action it takes is attributed to it, the foundation for audit and governance across a fleet of agents.
Each agent also gets its own episodic memory. An agent can call my_history to recall what it has already done, and what_changed to catch up on everything that moved since it last looked, so long-running and recurring agents resume where they left off instead of starting cold.
Framework Compatibility
mantle works with any MCP-compatible agent framework. Our native MCP implementation means zero adapter code, just point your agent at mantle and start querying.