Hast Overview

Hast is an AI agent launch platform for communities and teams. You can create Hermes or OpenClaw agents in the dashboard, choose a model, connect Telegram, and keep an agent online to answer questions, summarize information, and help with concrete tasks.

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What Hast is

Hast is not just a chat window. It is a dashboard for creating, deploying, and managing AI agents. It is built for communities that need long-running context and always-on support, with agents responding in real channels and usage managed through the product.

Create an agent

Choose Hermes or OpenClaw in the dashboard, configure name, model, Agent ID, and runtime options, then start deployment.

Learn creation

Connect Telegram

Start with a real Telegram channel: add a bot token, register the webhook, and pair the agent with a pairing code.

View setup

Manage usage

Use Usage and Billing to understand plan credits, AI usage, mail, bandwidth, account balance, and renewal state.

Review usage

Core capabilities

Hast brings deployable agents, channel setup, status, and usage management into one product flow instead of only offering one-off AI answers.

Deployable runtimes

Agent creation supports Hermes and OpenClaw. Runtime availability and quantity are controlled by plan capabilities and limits.

Community context

Agents can serve around community language, recurring questions, working style, and history so members repeat less background.

Always-on presence

After deployment, agents can keep responding in connected channels instead of only working when you open an app.

Multilingual communication

Hast fits communities and teams that naturally switch between English and Chinese, with attention to meaning rather than literal translation.

Task assistance

Agents can use runtime capabilities to help summarize information, answer questions, draft content, and assist with executable work.

Boundaries and usage

Hast manages capability boundaries through plans, runtime limits, Agent ID, model keys, and usage reporting.

Use cases

Hast fits high-context, high-activity communities that need continuity and always-on support. The examples below are typical directions; concrete behavior depends on the dashboard settings and live integrations.

1Community Q&A: let an agent answer repeated questions, explain project rules, summarize discussions, and reduce repeated manual replies in Telegram.
2Crypto communities: support alerts, summaries, and Q&A around wallets, on-chain activity, contract addresses, mint timing, gas estimates, and market information.
3Cross-language teams: support English-Chinese switching, overnight summaries, member communication, and explanations of recurring operational tasks.
4Business support: use the agent as an entry point for team knowledge and customer questions, starting from live channels such as Telegram before expanding integrations.

How Hast differs

Generic AI is useful for temporary conversations. Hast focuses on creating a deployable, manageable, channel-connected agent that works inside a persistent product workflow.

Hast vs. generic AI

1. Entry point: generic AI usually starts from a chat window; Hast starts from creating and deploying an agent.
2. Context: generic AI often needs repeated background; Hast is better suited to long-running community and team context.
3. Availability: generic AI usually responds when a user opens an app; Hast is built for connected-channel presence.
4. Management: Hast includes status, plan, usage, and balance management, not only model conversation.
5. Integration: Hast lets you start with a real channel such as Telegram to validate value first.
6. Boundaries: Hast behavior depends on runtime, plan, model key, Agent ID, and channel configuration.

Getting started

Read the 3-minute quickstart to complete sign-in, plan checks, model setup, and first agent creation.

Read Create an agent to understand Hermes / OpenClaw, Agent ID, model keys, quota, and common failures.

Read Connect Telegram to put the agent into a real channel with webhook and pairing-code setup.

Read Usage and billing to understand plan credits, AI usage, mail, bandwidth, balance, and renewal logic.