AI Agent Platform

Agents that run stable & lean

Built for multi-agent orchestration and high-concurrency workflows — long-session memory, tool-call acceleration, elastic scaling and full observability.

Core strengths

Compute built for Agents

Solves the unique engineering pain of agents.

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Long-session memory

Persistent cross-turn context cuts recompute.

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Tool-call acceleration

Low-latency, cached function/API execution.

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Elastic scaling

Scales with agent concurrency, to zero when idle.

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Full observability

Call chains, latency and cost at a glance.

Workflow

Four steps to run

A standardized path from request to result.

1

Ingest

API/SDK receives user and system triggers.

2

Orchestrate

Allocates compute and tools by policy.

3

Execute & remember

Calls models and tools, writes long-term memory.

4

Return & observe

Streams results and records metrics.

Match dedicated compute to your agents

From support to R&D to ops agents, all run stably.

FAQ

FAQ

Which frameworks are supported?

Compatible with mainstream agent frameworks and custom orchestration.

How to control agent cost?

Billed per call and compute; auto-scale-down when idle.

Do you support multi-agent collaboration?

Yes, with unified scheduling and shared memory.

Private deployment?

Yes, in-region and designated-region.

Run AI Agents more stable and lean

Share your scenario for an agent compute plan and demo.