Skill Detail

Build deterministic multi-agent networks with Inngest AgentKit

Use Inngest AgentKit to build TypeScript agent networks with deterministic routing, shared state, MCP tools, and local tracing.

Templates & WorkflowsMulti-Framework
Templates & Workflows Multi-Framework Published
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COPY SKILL INSTRUCTIONS (OPTIONAL)
npx skills add agentskillexchange/skills --skill build-deterministic-multi-agent-networks-with-inngest-agentkit Copy
Uses the third-party skills CLI, not an ASE-owned installer. Check your agent’s compatibility. This copies instructions; complete the upstream tool setup below separately.
At a glance
Tools required
Node.js, npm or pnpm, TypeScript, @inngest/agent-kit, inngest, model provider credentials, optional MCP servers
Install & setup
Install the TypeScript packages with npm i @inngest/agent-kit inngest, then follow the AgentKit documentation to define agents, tools, routers, networks, and local tracing.
Author
Inngest Inc.
Publisher
Organization
Last updated
May 29, 2026
Quick brief

Use this workflow when an operator needs an agent system that can route work across multiple specialized agents, keep typed shared state, and expose MCP tools inside a TypeScript runtime. The agent/operator builds an AgentKit network, defines agents with model providers and tools, adds routers for deterministic or LLM-based handoff, then runs the workflow through the Inngest dev server or deployed orchestration environment so traces and failures are reviewable. Invoke this instead of using a chat product manually when the work needs repeatable routing, durable execution, local debugging, and auditable tool use across several agents. The scope boundary is multi-agent workflow orchestration with AgentKit primitives such as agents, networks, routers, state, tools, and MCP servers. Keep inputs, router decisions, tool outputs, and final handoff state inspectable in traces before promoting the network. It is not a broad Inngest platform listing or a generic TypeScript SDK entry; publish it only as a concrete operator workflow for designing, testing, and running multi-agent networks.