> For the complete documentation index, see [llms.txt](https://docs.dctx.ai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.dctx.ai/key-components/agent-context-interface-aci.md).

# Agent Context Interface (ACI)

### What is ACI?

The **Agent Context Interface (ACI)** is a standardized interface within Decontext that allows **AI agents** to **read, reason, and react** based on composable, on-chain context. It acts as a bridge between decentralized context models (DMCP + Context Graph) and intelligent agents operating in Web3.

> ACI enables agents to plug directly into the decentralized brain of Web3 — understanding context just like humans do.

### 🧠 Why It Matters

In traditional systems, AI agents rely on centralized APIs or proprietary databases for context. That’s:

* Insecure
* Non-verifiable
* Opaque

With ACI, agents can:

* Access verifiable context on-chain
* Subscribe to real-time changes
* Perform context-driven decision-making
* Achieve autonomous interaction with dApps and smart contracts