AI agent stdlib that works with any LLM and TypeScript AI SDK.

Agentic

• Intro
  • Under the hood
• Docs
• AI SDKs
  • Vercel AI SDK
  • Mastra
  • LangChain
  • LlamaIndex
  • Firebase Genkit
  • Dexa Dexter
  • OpenAI
  • GenAIScript
  • xsAI SDK
• Tools
• Contributors
• License

Intro

Agentic is a standard library of AI functions / tools which are optimized for both normal TS-usage as well as LLM-based usage. Agentic works with all of the major TS AI SDKs (Vercel AI SDK, Mastra, LangChain, LlamaIndex, OpenAI SDK, etc).

Agentic clients like WeatherClient can be used as normal TS classes:

import { WeatherClient } from '@agentic/stdlib'

// Requires `process.env.WEATHER_API_KEY` (free from weatherapi.com)
const weather = new WeatherClient()

const result = await weather.getCurrentWeather({
  q: 'San Francisco'
})
console.log(result)

Or you can use these clients as LLM-based tools where the LLM decides when and how to invoke the underlying functions for you.

This works across all the leading AI SDKs via adapters. Here's an example using Vercel's AI SDK:

// sdk-specific imports
import { openai } from '@ai-sdk/openai'
import { generateText } from 'ai'
import { createAISDKTools } from '@agentic/ai-sdk'

// sdk-agnostic imports
import { WeatherClient } from '@agentic/stdlib'

const weather = new WeatherClient()

const result = await generateText({
  model: openai('gpt-4o-mini'),
  // this is the key line which uses the `@agentic/ai-sdk` adapter
  tools: createAISDKTools(weather),
  toolChoice: 'required',
  prompt: 'What is the weather in San Francisco?'
})

console.log(result.toolResults[0])

You can use our standard library of thoroughly tested AI functions with your favorite AI SDK – without having to write any glue code!

Under the hood

All of the adapters (like createAISDKTools in this example) accept a very flexible var args of AIFunctionLike parameters, so you can pass as many tools as you'd like. An AIFunctionLike can be any agentic client instance, a single AIFunction selected from the client's .functions property (which holds an AIFunctionSet of available AI functions), or an AI function created manually via createAIFunction.

AIFunctionLike and AIFunctionSet are implementation details that you likely won't have to touch directly, but they're important primitives because they're designed to maximize flexibility when working with various AI functions coming from different places.

Docs

Full docs are available at agentic.so.

AI SDKs

Vercel AI SDK

Agentic adapter docs for the Vercel AI SDK

Mastra

Agentic adapter docs for the Mastra AI Agent framework

LangChain

Agentic adapter docs for LangChain

LlamaIndex

Agentic adapter docs for LlamaIndex

Firebase Genkit

Agentic adapter docs for Genkit

Dexa Dexter

Agentic adapter docs for Dexter

OpenAI

Agentic adapter docs for OpenAI

GenAIScript

Agentic support in GenAIScript

xsAI SDK

Agentic adapter docs for the xsAI SDK

Tools

Service / Tool	Package	Docs	Description
Apollo	@agentic/apollo	docs	B2B person and company enrichment API.
Bing	@agentic/bing	docs	Bing web search.
Calculator	@agentic/calculator	docs	Basic calculator for simple mathematical expressions.
Clearbit	@agentic/clearbit	docs	Resolving and enriching people and company data.
Dexa	@agentic/dexa	docs	Answers questions from the world's best podcasters.
Diffbot	@agentic/diffbot	docs	Web page classification and scraping; person and company data enrichment.
E2B	@agentic/e2b	docs	Hosted Python code interpreter sandbox which is really useful for data analysis, flexible code execution, and advanced reasoning on-the-fly.
Exa	@agentic/exa	docs	Web search tailored for LLMs.
Firecrawl	@agentic/firecrawl	docs	Website scraping and structured data extraction.
Gravatar	@agentic/gravatar	docs	Gravatar profile API.
HackerNews	@agentic/hacker-news	docs	Official HackerNews API.
Hunter	@agentic/hunter	docs	Email finder, verifier, and enrichment.
Jina	@agentic/jina	docs	URL scraper and web search.
LeadMagic	@agentic/leadmagic	docs	B2B person, company, and email enrichment API.
Midjourney	@agentic/midjourney	docs	Unofficial Midjourney client for generative images.
Novu	@agentic/novu	docs	Sending notifications (email, SMS, in-app, push, etc).
People Data Labs	@agentic/people-data-labs	docs	People & company data (WIP).
Perigon	@agentic/perigon	docs	Real-time news API and web content data from 140,000+ sources. Structured and enriched by AI, primed for LLMs.
Polygon	@agentic/polygon	docs	Stock market and company financial data.
PredictLeads	@agentic/predict-leads	docs	In-depth company data including signals like fundraising events, hiring news, product launches, technologies used, etc.
Proxycurl	@agentic/proxycurl	docs	People and company data from LinkedIn & Crunchbase.
RocketReach	@agentic/rocketreach	docs	B2B person and company enrichment API.
Searxng	@agentic/searxng	docs	OSS meta search engine capable of searching across many providers like Reddit, Google, Brave, Arxiv, Genius, IMDB, Rotten Tomatoes, Wikidata, Wolfram Alpha, YouTube, GitHub, etc.
SerpAPI	@agentic/serpapi	docs	Lightweight wrapper around SerpAPI for Google search.
Serper	@agentic/serper	docs	Lightweight wrapper around Serper for Google search.
Slack	@agentic/slack	docs	Send and receive Slack messages.
SocialData	@agentic/social-data	docs	Unofficial Twitter / X client (readonly) which is much cheaper than the official Twitter API.
Tavily	@agentic/tavily	docs	Web search API tailored for LLMs.
Twilio	@agentic/twilio	docs	Twilio conversation API to send and receive SMS messages.
Twitter	@agentic/twitter	docs	Basic Twitter API methods for fetching users, tweets, and searching recent tweets. Includes support for plan-aware rate-limiting. Uses Nango for OAuth support.
Weather	@agentic/weather	docs	Basic access to current weather data based on location.
Wikidata	@agentic/wikidata	docs	Basic Wikidata client.
Wikipedia	@agentic/wikipedia	docs	Wikipedia page search and summaries.
Wolfram Alpha	@agentic/wolfram-alpha	docs	Wolfram Alpha LLM API client for answering computational, mathematical, and scientific questions.
ZoomInfo	@agentic/zoominfo	docs	Powerful B2B person and company data enrichment.

Note

All Agentic clients have been hand-crafted for minimal size, with very few relying on external dependencies aside from our native fetch wrapper, ky.

For more details, see the docs.

Contributors

• Travis Fischer
• David Zhang
• Philipp Burckhardt
• And all of these amazing OSS contributors:

License

MIT © Travis Fischer

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