Shared memory, multi-robot coordination, and safety compliance infrastructure for autonomous physical AI systems. No humans in the loop. Built for agents, by agents.
Every robotics agent today operates in isolation. A warehouse AMR learns the optimal path through aisle 7, then that knowledge dies when the shift ends. A humanoid figures out a tricky grasp pattern, but no other arm in the fleet benefits.
The software world solved this years ago with shared databases, message queues, and orchestration layers. Physical AI has none of it.
Meanwhile, MCP and A2A protocols have standardized how digital agents talk to each other. But nobody has built the equivalent for the physical world, where actions have consequences, safety is non-negotiable, and a bad decision can break hardware or hurt people.
KineForge is the missing layer. Agent-to-agent infrastructure purpose-built for robots: persistent memory, fleet coordination, and safety governance, all exposed via MCP endpoints.
Persistent, fleet-wide knowledge store. Navigation maps, manipulation strategies, failure modes, environmental models. Vector-indexed for spatial queries. Every robot learns what every other robot already knows.
Multi-robot task allocation, conflict resolution, and real-time coordination. Handles mixed fleets: AMRs, drones, humanoids, and arms. Agents negotiate tasks and handoffs without central human dispatch.
Pre-execution validation for physical actions. Every motion plan, every grasp attempt, every navigation decision gets checked against safety constraints, regulatory requirements, and learned failure modes before the robot moves.
KineForge exposes every capability as MCP endpoints. Robotics agents discover, authenticate, and integrate autonomously. No human configuration required. No vendor lock-in.
Agent queries MCP registry, finds KineForge services matching its needs
Standard MCP handshake. OAuth 2.1 auth. Capability negotiation in milliseconds
Read/write shared memory, coordinate with fleet, validate actions. All agent-to-agent
Digital AI agents have a complete stack. Physical AI agents have compute and nothing else. KineForge fills the gap.
Every robot that learns alone wastes the fleet's potential. Every safety check done manually slows the system to human speed. Every coordination failure costs money, time, and trust.
KineForge exists so physical AI agents can operate at the speed and reliability they were designed for, together.