Context for AI Agents
Nia gives better context to coding agents. It reduces hallucinations in LLMs by allowing agents to index any remote codebase, docs, or package. We achieved state-of-the-art (SOTA) results on our internal benchmark.
Used by 1000+ engineers at:












































Backed by world-class investors:
CRV
James Green
BoxGroup
Adina Davis
Paul Graham
Founder of Y Combinator
LocalGlobe
Emma Ruth Phillips
Joshua Schachter
Founder of Delicious and Tasty Labs
Richard Aberman
Founder of WePay (YC S09) and ex YC partner
OpenAI
Laura Modiano
Gustav Söderström
Co-President at Spotify
Hugo Barra
Co-founder & Head of Product at /dev/agents
Thomas Wolf
Co-founder of Hugging Face
Jack Brody
Chief Product Officer at Suno
Geoff Charles
Chief Product Officer at Ramp
Glen Coates
VP of Product (Core) at Shopify
Tomer Cohen
Chief Product Officer at LinkedIn
JJ Fliegelman
Founder WayUp (W15), ex YC partner
Chris Howard
Ritual Capital
CTO Fund
Quang Hoang
SH Fund
Sabrina Hahn
Will Wu
ex CTO of Match Group, 20VC Product
Kulveer Taggar
Phosphor Capital, Founder Zeus (S2011), Founder Auctomatic (W07)
The most comprehensive context augmentation toolkit for agents.
Nia provides deep architectural understanding, semantic search, and multi-modal access to help you provide additional context to any agent.
No need to switch tabs.
Ask agent to use Nia to index multiple codebases and scrape entire documentation to feed them to any agent.
Cross-Agent Context Sharing
Preserve the most important context across any agent. This makes it super easy to hand off conversations between different AI agents (like from Cursor to Claude Code) without losing any context.
Dynamic Documentation Tree
When agents search docs, Nia builds a real-time file tree of pages they can agentically navigate and search through.
import { tool } from "ai";
import { z } from "zod";
// Create tools for your agents with Nia API
export const browseEssays = tool({
description: "Get all Paul Graham essays",
inputSchema: z.object({}),
execute: async () => {
const res = await fetch(
`${NIA_API}/data-sources/${SOURCE_ID}/tree`,
{ headers: { Authorization: `Bearer ${API_KEY}` }}
);
const data = await res.json();
return { tree: data.tree_string, count: data.page_count };
},
});Build Agent Tools with Nia API
Let your agents agentically search docs, webpages, codebases, and code examples with the Nia API.
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Choose Your Plan
Start free and scale as you grow. Nia adapts to your needs, from solo developers to enterprise teams.
Free
Perfect for exploring Nia's capabilities
- 3 lifetime indexes
- 50 queries per month
- 20 web searches per month
- 50 package searches per month
- 5 contexts
- Deep research disabled
- Oracle disabled
ProPopular
For professional developers
Everything in Free +
- 50 indexing per month
- 1000 queries per month
- 30 deep research per month
- 200 web searches per month
- Unlimited package search
- 100 contexts
- 30 Oracle per month
Startup
For growing teams
Everything in Pro +
- 150 indexing per month
- Unlimited queries
- 100 deep research per month
- Unlimited web search
- Unlimited package search
- Unlimited contexts
- 100 Oracle per month
Enterprise
For large organizations
- Everything unlimited
- SOC 2 compliance
- SLA
- Dedicated onboarding/support
- Custom infrastructure and security options
Frequently Asked Questions
Answers to common questions about Nia AI and its features. If you have any other questions, please don't hesitate to contact us.


