Agent orchestration
Multi-step reasoning, tool calling, human-in-the-loop, reviewable traces.
Xiangyan AI explores applied agents and turns ideas into systems that run in real workflows—research, product engineering, and deployment in one path.
Product 01In build
A multi-agent workspace for real-world use: model access, collaborative chat, retrieval, tool execution, and admin—deployable and extensible.
Built for a stable chat experience, a unified model entry point, and lightweight infrastructure that plugs into your stack.
Capabilities
Multi-step reasoning, tool calling, human-in-the-loop, reviewable traces.
Chunking, embeddings, semantic search, evidence records, live knowledge.
APIs, webhooks, workflow engines—verify, fill, notify, write back.
Text, voice, documents, and images for support and internal collab.
Tracing, quality evals, usage ledgers, structured logs, and alerts.
Access boundaries, redaction, audit logs, 2FA/SSO-ready governance.
About
We study new models and orchestration methods, and turn experiments into projects that run, get used, and keep evolving across research and applied practice.
01Ship-ready
Start from real workflows. Deliver agents that run—not slideware.
02Integrable
CRM, tickets, knowledge bases, internal APIs—inside your stack.
03Evolvable
Eval, observability, and feedback so systems grow with the business.
Approach
01
High-value flows, data boundaries, success metrics—first shippable case.
02
Orchestrate agents, wire knowledge and systems, iterate on eval sets.
03
Gradual rollout, monitoring, alerts—agents in daily operations.
Scenarios
Policies, projects, tickets—retrieve and draft in natural language.
Multi-turn dialog, ticket creation, escalation—consistent and auditable.
Cross-system orchestration: verify, fill, notify, write back.