
AgentKit by Inngest
TypeScript framework for building and orchestrating AI agents with tools and workflows.
概要
主な機能
- Agent and network primitives
- Tool calling with structured inputs
- Stateful multi-agent routing
- Multiple LLM provider support
- Durable workflow execution via Inngest
- Observability and step-level retries
ユースケース
Build multi-agent research systems
Compose networks of specialized agents that route tasks between each other to research topics, summarize findings, and produce structured outputs with maintained state across steps.
Production-grade AI workflows
Use Inngest's durable execution to run long-running agent workflows with automatic retries, observability, and step-level recovery for reliable production deployments.
Tool-augmented LLM applications
Equip agents with structured tool calls to external APIs, enabling them to query databases, trigger actions, or fetch live data within TypeScript applications.
Multi-provider LLM orchestration
Build agent systems that leverage multiple LLM providers, routing tasks to the most suitable model and composing single-model calls or complex multi-agent collaborations.
メリット & デメリット
メリット
- Open source and TypeScript-native
- Supports multi-agent orchestration and routing
- Integrates with Inngest for durable execution
- Flexible tool and model provider support
デメリット
- Limited to TypeScript/JavaScript ecosystem
- Requires coding knowledge, no visual builder
- Best features tied to Inngest platform
レビュー
4件の評価の平均。
レビューを投稿するにはログインしてください。
Tariq Aziz
Does the job
Pretty happy overall. Observability and step-level retries just works and open source and TypeScript-native. but no dealbreakers — I'd recommend it to a friend without hesitating.
Beatriz Costa
Skeptical, then convinced
I went in skeptical — most tools in this space overpromise. It actually delivers on agent and network primitives, and flexible tool and model provider support caught me off guard. Best features tied to Inngest platform is why this isn't a perfect score, still, I'd recommend giving it a real trial.
Aisha Khan
Skeptical, then convinced
I went in skeptical — most tools in this space overpromise. It actually delivers on multiple LLM provider support, and supports multi-agent orchestration and routing caught me off guard. Limited to TypeScript/JavaScript ecosystem is why this isn't a perfect score, still, I'd recommend giving it a real trial.
Liam O’Connor
Skeptical, then convinced
I went in skeptical — most tools in this space overpromise. It actually delivers on multiple LLM provider support, and integrates with Inngest for durable execution caught me off guard. Best features tied to Inngest platform is why this isn't a perfect score, still, I'd recommend giving it a real trial.
Q&A
まだ質問はありません — 最初の質問者になりましょう。
質問する
Code Assistantsの代替

GenFuse AI
Code Assistants
No-code platform for building multi-step AI agents that automate repetitive business tasks.

ReleasePad
Code Assistants
AI-generated release notes for fast-moving product teams

AlphaCode
Code Assistants
An AI system by DeepMind that generates code for competitive programming challenges.

MicroGPT
Code Assistants
An AI-powered coding assistant enhancing developer productivity with real-time code suggestions.

bumpgen
Code Assistants
An AI agent that automates the upgrading of npm packages and resolves associated breaking changes in TypeScript projects.

Form Data
Code Assistants
Turn plain-text prompts into working, spam-protected forms in seconds.

Cursor
Code Assistants
AI-native code editor with smart autocomplete and chat-driven coding

Fleek
Code Assistants
Developer platform for building and deploying AI agents and modern web apps







