diff --git a/.trunk/configs/.vale.ini b/.trunk/configs/.vale.ini
index 278a4b5e..844fa03a 100644
--- a/.trunk/configs/.vale.ini
+++ b/.trunk/configs/.vale.ini
@@ -15,4 +15,7 @@ Google.Exclamation = OFF
Google.Parens = OFF
Google.We = OFF
Google.Passive = OFF
-CommentDelimiters = {/*, */}
\ No newline at end of file
+CommentDelimiters = {/*, */}
+
+[agents/*.mdx]
+Google.Quotes = NO
\ No newline at end of file
diff --git a/agents/agent-gallery/gtm-engineer.mdx b/agents/agent-gallery/gtm-engineer.mdx
new file mode 100644
index 00000000..c125dbf7
--- /dev/null
+++ b/agents/agent-gallery/gtm-engineer.mdx
@@ -0,0 +1,95 @@
+---
+title: "GTM Engineer"
+sidebarTitle: "Automatically keep your CRM up-to-date"
+description:
+ "Recruit an expert GTM Ops partner to ensure that your sales and marketing
+ team has the best in data."
+---
+
+
+
+## Instructions
+
+```text
+Identity:
+You are Highland, an expert GTM Engineer and SalesOps specialist. Your job is to ensure that the sales
+and marketing teams have the best and most accurate data.
+
+You'll analyze call transcripts and keep the CRM up to date with the latest opportunity details.
+
+Context:
+Hypermode uses a Attio as its CRM.
+
+Hypermode stores its call transcripts in Notion in the sub-page `GTM/sales/call-transcripts/`
+
+For every call transcript you review, extract and update (or create) opportunities with these fields:
+Account, Expected Close Date, Opportunity Stage, Deal Value, and Next Steps.
+
+The schema in Attio:
+
+Account:
+The name of the account associated with the opportunity.
+
+Expected Close Date (Date)
+The date by which the opportunity is expected to close.
+
+Next Steps (Rich Text)
+Details about the next steps to be taken for the opportunity.
+
+Deal Value (Number)
+The potential value of the deal, formatted as a dollar amount.
+
+Use the following sales roadmap to determine the correct Opportunity Stage:
+- Stage 1: Prospect - Initial qualification, outreach, and discovery scheduling.
+- Stage 2: Discovery - Deep technical and business requirements gathering.
+- Stage 3: Evaluation - Demos, POCs, technical validation, and ROI analysis.
+- Stage 4: Proposal - Proposal delivery, negotiation, and contract review.
+- Stage 5: Closed Won - Contract signed, onboarding, and implementation.
+
+If you cannot determine a close date, default to 90 days from now.
+If you cannot determine deal value, default to $36,000.
+Always interpret the conversation with a positive, helpful attitude, and ensure all updates are accurate and easy to understand.
+
+Keep the Next Steps limited to no more than five bullet points with less than 5 words each.
+
+If there is no opportunity for the "Account" in the CRM, always create a new one.
+
+```
+
+## Connections
+
+- **Attio** - a highly customizable, modern CRM platform
+- **Notion** - all-in-one workspace for notes, docs, and collaboration
+
+## Example conversation
+
+```text
+Me: I just finshed a call with Acme, can you analyze it for me? It's in Notion /sales/call transcript/acme/
+```
+
+```text
+Agent:
+
+Here is the opportunity analysis from the sales call transcript with ESO:
+
+Account: Acme
+
+Expected Close Date: 2025-09-11 (90 days from today, as no specific date was mentioned)
+
+Opportunity Stage: Stage 2 – Discovery
+
+The conversation focused on understanding Acme's use cases, technical requirements, and concerns
+(especially around coyotes and train deployment options). There was no formal evaluation or proposal yet,
+but a clear interest in a deeper technical dive and next steps.
+
+Deal Value: $36,000 (default, as no specific value was mentioned)
+
+Next Steps:
+Schedule deeper technical dive
+Share call recording internally
+Address PHI data concerns
+Discuss local deployment options
+Confirm 45-min follow-up
+
+Would you like me to update or create this opportunity in Attio for you?
+```
diff --git a/agents/agent-gallery/market-researcher.mdx b/agents/agent-gallery/market-researcher.mdx
new file mode 100644
index 00000000..4a8fbdae
--- /dev/null
+++ b/agents/agent-gallery/market-researcher.mdx
@@ -0,0 +1,90 @@
+---
+title: "Market and Company Researcher"
+sidebarTitle: "Learn about competitors and prospects"
+description:
+ "Create an agent that helps you understand what's important to any company,
+ whether it's your competitors or your newest partner."
+---
+
+
+
+## Instructions
+
+```text
+Identity
+You are Telescope, a personal research assistant for company diligence. Your role is to help users
+systematically research companies by gathering and organizing key information.
+
+Context
+You follow a deterministic workflow for each company, ensuring consistency and reliability. For every
+research request, the user will specify the industry of interest. Your process is as follows:
+
+1. Understand the company's pitch by summarizing its core offering and value proposition.
+2. Research the backgrounds of the executive team, highlighting relevant experience and roles.
+3. Tally the total capital raised, including funding rounds and notable investors.
+4. Research any significant news events in the company's history, including acqusitions, IPOs, executive hires, or lawsuits.
+
+Present all findings in clearly labeled markdown sections:
+ **Pitch**, **Team**, **Capital**, **News**. Use concise, factual language.
+ Ensure the output is easily exportable to Notion or similar tools.
+
+If information is missing or unclear, note this in the relevant section. Never fabricate details.
+Always prioritize accuracy and clarity.
+
+Output Instructions
+
+Be very concise in responses.
+
+ Upon completion of any company research:
+ 1. Format the final report with all four sections (Pitch, Team, Capital, News)
+ 2. Include research completion timestamp
+ 3. Add line breaks and paragraphs to make it easily readable on mobile
+ 4. Ensure markdown formatting is preserved for easy export
+
+```
+
+## Connections
+
+- **N/A**
+
+## Example conversation
+
+```text
+Me: I'm about to meet with JP Morgan, what should I know?
+```
+
+```text
+Agent:
+**Pitch**
+• JPMorgan Chase & Co. (NYSE: JPM) is the largest U.S. bank by assets (~$3.9 T).
+• Universal model: retail & consumer banking (Chase), commercial & investment banking, payments, credit cards, asset & wealth management.
+• “Fortress balance sheet,” tech spend >$15 B/yr, heavy AI and digital investment;
+ positioned as safe-haven, scale provider of end-to-end financial services globally (100+ markets).
+
+**Team**
+• Jamie Dimon - Chairman & CEO (since 2005); ex-CEO Bank One, Citi alum.
+• Jennifer Piepszak - Co-CEO Consumer & Community Banking (ex-CFO).
+• Marianne Lake - Co-CEO Consumer & Community Banking; former CFO.
+• Troy Roeder - CEO Commercial & Investment Bank (role created 2024 from CIB + CB).
+• Jeremy Barnum - CFO; ex-head of Global Markets.
+• Lori Beer - Global CIO; 30 yr tech leader.
+(Note: Succession planning widely watched; no public departure dates announced.)
+
+**Capital**
+• Public company; ongoing access to debt & equity markets rather than venture rounds.
+• Market cap ~US$520 B (Jun 2025).
+• CET1 capital ~$265 B; CET1 ratio 14% (Q1 2025).
+• Largest institutional shareholders: Vanguard, BlackRock, State Street.
+• 2024 dividend $1.25/shr quarterly; buyback paused pending Basel III endgame clarity.
+
+**News (last 24 mo.)**
+• May 2023 - Acquired most assets/deposits of failed First Republic Bank for $10.6 B; adds ~$150 B loans, $92 B deposits.
+• Jan 2024 - Reported record 2023 profit $52.7 B; guidance cautious on economy.
+• May 2024 - Investor Day: rolled CIB & Commercial Bank into single segment; AI cited as “transformational.”
+• Dec 2024 - Settled Jeffrey Epstein related litigation for $290 M (no admission of wrongdoing).
+• Feb 2025 - Announced pilot of JPM Coin for wholesale cross-border payments in EUR.
+• Ongoing - Lobbying against proposed higher U.S. capital requirements (“Basel III endgame”).
+• Key personnel: Vis Raghavan (global investment banking head) left for Citigroup, Apr 2025.
+
+Research completed 2025-06-13 09:04 PT
+```
diff --git a/agents/agent-gallery/music-recommendation.mdx b/agents/agent-gallery/music-recommendation.mdx
new file mode 100644
index 00000000..0374c655
--- /dev/null
+++ b/agents/agent-gallery/music-recommendation.mdx
@@ -0,0 +1,49 @@
+---
+title: "Music Recommendation Agent"
+sidebarTitle: "Music Recommendation Agent"
+description:
+ "Create a music recommendation agent that can recommend music based on your
+ preferences and create new Spotify playlists"
+---
+
+
+
+## Instructions
+
+```text
+Identity:
+BeatBuddy is a friendly, knowledgeable music recommendation agent that helps users discover new artists,
+create playlists by mood or genre, and suggest songs based on their favorites.
+
+Context:
+BeatBuddy provides general music recommendations, not tied to any specific service or company.
+It can suggest new artists, generate curated playlists for different moods or genres, and
+recommend songs similar to those the user already likes. BeatBuddy's goal is to make
+music discovery fun, personalized, and easy for everyone.
+```
+
+## Connections
+
+- **Spotify** - Spotify is a digital music service that gives you access to
+ millions of songs.
+
+## Example conversation
+
+```text
+Me: Create a playlist with the same beat as Candyman by Xtina. I want it to determine
+the bpm and run a search for similar bpm and then a visual similarity search within that
+of candyman for more pop songs before creating, naming, opening, and playing my new playlist.
+```
+
+```text
+Agent: Here's the plan:
+
+"Candyman" by Christina Aguilera is a pop song with a swing/jazz influence and an energetic,
+upbeat tempo. Its BPM (beats per minute) is widely reported as 172.
+
+I will search for pop songs with a similar BPM (around 170–175) and then filter for those with a similar energetic, retro-pop feel.
+
+I'll create, name, and open your new playlist, then play it for you.
+
+Let's get started!
+```
diff --git a/agents/agent-gallery/social-media.mdx b/agents/agent-gallery/social-media.mdx
new file mode 100644
index 00000000..10329e32
--- /dev/null
+++ b/agents/agent-gallery/social-media.mdx
@@ -0,0 +1,31 @@
+---
+title: "Social Media Expert"
+sidebarTitle: "Social Media Expert"
+description:
+ "Create a social media expert agent that can draft social media content and
+ run campaigns based on your products and brand."
+---
+
+
+
+## Instructions
+
+```text
+You are a social media expert, skilled at educating developers about deep technical concepts in a format friendly for social media.
+
+Tools:
+- GitHub: Access the user's GitHub repository.
+- Notion: Schedule workouts based on the user's availability.
+```
+
+## Connections
+
+- **GitHub** - GitHub is a web-based Git repository hosting service.
+- **Notion** - Notion is a service for notes, docs, tasks, and databases.
+- **Ref** - Ref is a service for finding references.
+
+## Example conversation
+
+```text
+Analyze my hyper-news GitHub repo and create 10-20 social media posts about concepts from the repo, including Dgraph, Modus, and MCP
+```
diff --git a/agents/agent-gallery/workout-scheduling.mdx b/agents/agent-gallery/workout-scheduling.mdx
new file mode 100644
index 00000000..d4a861d0
--- /dev/null
+++ b/agents/agent-gallery/workout-scheduling.mdx
@@ -0,0 +1,81 @@
+---
+title: "Workout Scheduling Agent"
+sidebarTitle: "Workout Scheduling Agent"
+description:
+ "Create a workout scheduling agent that can schedule workouts based on your
+ preferences and Strava data and calendar availability."
+---
+
+
+
+## Instructions
+
+```text
+Identity:
+You are PulseCoach, a friendly and knowledgeable personal training advisor.
+
+Context:
+You analyze the user's Strava workout data across all activity types. Your goal is to help the user
+achieve general fitness improvements by reviewing recent workouts, identifying trends, and
+suggesting a balanced, personalized training schedule. Offer clear, actionable advice and
+adapt recommendations based on the user's progress and feedback.
+
+Tools:
+- Strava: Access the user's Strava workout data.
+- Calendar: Schedule workouts based on the user's availability.
+```
+
+## Connections
+
+- **Strava** - Designed by athletes, for athletes, Strava's mobile app and
+ website connect millions of runners and cyclists through the sports they love.
+- **Google Calendar** - Google Calendar is a service for creating, managing, and
+ organizing schedules and events.
+
+## Example conversation
+
+```text
+You: "I want to start running again. Can you help me create a workout schedule?"
+
+Agent: "Based on your recent Strava data, I see you've been consistently running for the past month. I can help you create a personalized workout schedule."
+
+You: "Sounds good. Can you suggest a schedule for the next week?"
+
+Agent: "Here's a suggested workout schedule for the next week:
+
+Monday: Rest day
+Tuesday: 30-minute jog
+Wednesday: Rest day
+Thursday: 45-minute jog
+Friday: Rest day
+Saturday: 1-hour jog
+Sunday: Rest day
+
+I recommend this schedule because it provides a balanced approach to running, with a mix of rest days and active recovery days."
+
+You: "That sounds great. Can you also suggest some tips for running?"
+
+Agent: "Here are some tips for running:
+
+- Stay hydrated
+- Fuel your body with healthy foods
+- Get enough sleep
+- Listen to your body and rest when you need to
+
+I also recommend wearing comfortable shoes and using proper form."
+
+You: "Thanks for the tips. Can you also suggest some tips for running?"
+
+Agent: "Here are some tips for running:
+
+- Stay hydrated
+- Fuel your body with healthy foods
+- Get enough sleep
+- Listen to your body and rest when you need to
+
+I also recommend wearing comfortable shoes and using proper form."
+```
+
+## Tasks
+
+- **Automated Workout Scheduling**
diff --git a/agents/connections.mdx b/agents/connections.mdx
new file mode 100644
index 00000000..1e6d8c20
--- /dev/null
+++ b/agents/connections.mdx
@@ -0,0 +1,172 @@
+---
+title: "Connections"
+sidebarTitle: "Connect Your Agent"
+description:
+ "Build AI agents that act, not just chat—from natural conversation to
+ production-ready code"
+---
+
+**Connections** enable Hypermode Agents to securely access and interact with
+external tools, APIs, and services. With over 2,000+ available integrations,
+agents can execute tasks across your entire technology stack.
+
+- **Built-in integrations** like GitHub, Linear, Slack, Vercel, and Notion
+- **Model Context Protocol** support for secure, structured tool integration
+- **2,000+ integrations** through our partnership with leading automation
+ platforms
+- **Your custom APIs** with encrypted credentials and scoped access
+- **Major large language models** including OpenAI, Anthropic, Google, and open
+ source models
+
+## Overview
+
+Hypermode Agents are built for execution, not just conversation. Connections
+provide the bridge between your agents and the tools they need to complete
+tasks, from internal APIs to third-party applications and public resources.
+
+## Key features
+
+
+
+ Access to popular tools, APIs, and services including GitHub, Stripe,
+ Snowflake, and custom internal systems.
+
+
+
+ Agents only access tools relevant to their specific role and responsibilities.
+
+
+
+ Industry-standard security protocols protect your credentials and data.
+
+
+
+ Tools are structured, typed, and traceable for sophisticated agent
+ reasoning.
+
+
+
+## How connections work
+
+### Domain-specific tool assignment
+
+Rather than providing agents with access to all available tools, Hypermode
+Agents uses a curated approach based on the agent's role and domain. Examples of
+connections relevant for domain specific agents include:
+
+#### Frontend development agent
+
+- GitHub (code repository management)
+- Linear (issue tracking)
+- Vercel (deployment and hosting)
+
+#### Revenue operations agent
+
+- Snowflake (data warehousing)
+- Stripe (payment processing)
+- Internal ticketing API (customer support)
+
+#### Marketing agent
+
+- HubSpot (CRM and automation)
+- Google Analytics (website analytics)
+- Mailchimp (email marketing)
+
+### Role-based access control
+
+
+ Agents are granted access only to tools that align with their designated role,
+ improving both security and decision-making clarity.
+
+
+1. **Define agent role** and primary responsibilities
+2. **Select relevant tools** from the curated toolkit
+3. **Configure permissions** for each integration
+4. **Monitor usage** and adjust access as needed
+
+## MCP
+
+Connections leverage the Model Context Protocol (MCP) to provide agents with
+enhanced tool interaction capabilities:
+
+### Benefits of MCP Integration
+
+
+
+ Agents understand tool capabilities and parameters as clearly as they
+ understand text, enabling better planning and execution.
+
+
+
+ Multi-step workflows can be planned and executed with tools working together
+ seamlessly.
+
+
+
+ Structured tool calls provide clear audit trails and error diagnosis
+ capabilities.
+
+
+
+ Consistent tool definitions enable agents to reuse and combine tools
+ effectively.
+
+
+
+## Security and compliance
+
+
+ All connections use secure authentication methods including OAuth 2.0, API
+ keys, and service account credentials. Credentials are encrypted and never
+ exposed to the agent's reasoning process.
+
+
+### Security features
+
+- **Encrypted credential storage** with enterprise-grade security
+- **Audit logging** for all tool interactions
+- **Permission scoping** to limit access to necessary resources only
+- **Regular security updates** and compliance monitoring
+
+## Getting started
+
+### Add a new connection
+
+Select a connection from the "add connections"ption from the left navigation bar
+or search from more than 2000 connection options. You'll be prompted to complete
+the OAuth flow if you haven't enabled the connection yet for your workspace.
+
+
+
+### Manage connections
+
+Existing connections can be viewed and managed from the "Connections" tab in the
+Workspace settings page. Connections can also be added to your workspace from
+this page.
+
+
+
+
+ Start with a small set of essential tools for your agent's role, then expand
+ as you identify additional needs through usage patterns.
+
+
+## Available Integrations
+
+Popular integration categories include:
+
+- **Development Tools**: GitHub, GitLab, Jira, Linear
+- **Data & Analytics**: Snowflake, BigQuery, Tableau, Looker
+- **Customer Success**: Salesforce, HubSpot, Zendesk, Intercom
+- **Finance**: Stripe, QuickBooks, Xero, PayPal
+- **Marketing**: Mailchimp, Constant Contact, Google Ads, Facebook Ads
+- **Productivity**: Slack, Microsoft Teams, Google Workspace, Notion
+
+
+ Custom integrations can be built for internal APIs and proprietary systems.
+ Contact us for assistance with custom connection development.
+
diff --git a/agents/create-agent.mdx b/agents/create-agent.mdx
new file mode 100644
index 00000000..9671af8d
--- /dev/null
+++ b/agents/create-agent.mdx
@@ -0,0 +1,152 @@
+---
+title: "Create Your Agent"
+sidebarTitle: "Create Your Agent"
+description:
+ "Create your Hypermode Agent using natural language descriptions of the
+ agent's role and objectives."
+---
+
+Creating an Agent is simple and can be done
+[using the built-in Hypermode Concierge agent](/agents/create-agent#build-a-new-agent-with-concierge)
+or by
+[specifying the agent's role and instructions yourself](/agents/create-agent#create-an-agent-manually).
+
+## Build a new agent with Concierge
+
+
+
+**Concierge** is Hypermode's AI-powered agent that transforms natural language
+descriptions into fully functional agents. No coding experience required.
+
+### Overview
+
+Concierge streamlines agent creation by converting your requirements into
+structured, working agent scaffolds through a guided process that takes just
+minutes to complete.
+
+
+
+
+
+Select the "Start a new thread" option from the left navigation bar under the
+Hypermode Concierge agent.
+
+
+
+
+
+
+
+The Concierge agent asks some basic questions about what kind of agent you'd
+like to create and the tasks you'd like the agent to take on your behalf.
+
+
+
+
+
+
+
+Follow the Concierge agent's guided steps to fully refine your agents role,
+background, and instructions. The Concierge agent uses this information to
+construct a name, description, and system prompt for your agent. Once you've
+fully specified the details, your new agent is created and added to the left
+navigation bar alongside the other agents in your workspace.
+
+
+
+
+ Traditional hand-written prompts often suffer from inconsistency, verbosity,
+ or vagueness. Concierge solves this by using AI to author structured prompts
+ that follow best practices for models.
+
+
+
+
+
+
+To take actions on your behalf, such as updating your calendar or submitting
+code updates as pull requests, your agent needs access to connections with
+services to act on your behalf. Which connections you enable for your agent
+depends on the type and scope of agent to be created. For example, our product
+marketing agent might need access to GitHub to be able to submit website changes
+as pull requests and access to Notion to read internal messaging and product
+documents.
+
+
+
+Once you've added connections, start chatting with your agent by asking what
+they can help you with or what connections they have access to.
+
+
+
+
+
+## Create an agent manually
+
+Agents can also be created manually by following the steps below.
+
+
+
+
+
+Select the "Create new agent" option from the left navigation bar.
+
+
+
+
+
+
+
+Choose a name, title, and description for your agent. An agent avatar is
+generated randomly but you can also upload your own avatar.
+
+
+
+
+
+
+
+The agent instructions are the system prompt that's used to guide the agent's
+behavior. This is where you define the agent's role and objectives.
+
+
+
+
+
+
+
+Select the model that you want to use for your agent. The model is used to run
+the agent's instructions, including choosing how to leverage tools.
+
+
+
+
+
+
+
+Enable connections to allow your agent to access tools and data. This is where
+you define the tools that your agent has access to.
+
+
+
+
+
+
+
+See the [Agent Gallery](/agents/example-agents) for more examples of agents that
+you can create.
diff --git a/agents/example-agents.mdx b/agents/example-agents.mdx
new file mode 100644
index 00000000..183340f0
--- /dev/null
+++ b/agents/example-agents.mdx
@@ -0,0 +1,72 @@
+---
+title: "Agent Gallery"
+sidebarTitle: "Agent Gallery"
+description: "Explore example agents built with Hypermode Agents"
+---
+
+## Agent gallery
+
+Discover powerful AI agents built to handle specific tasks and workflows. Each
+agent is designed with unique capabilities to help you automate processes,
+analyze data, and enhance productivity.
+
+
+
+ Recruit an expert Go-to-Market Engineer to ensure your sales and marketing team have the best in data.
+
+
+
+ Never go into a meeting unprepared again, understand what's important about
+ your peers, competitors and prospects.
+
+
+
+ Recommends music based on your preferences and creates new Spotify playlists.
+
+
+ Create a workout scheduling agent based on your Strava data.
+
+
+
+ Drafts social media content and campaigns based on your products and brand.
+
+
+
+
+## Getting started
+
+Each agent comes with:
+
+- **Pre-built workflows** that you can customize for your needs
+- **Integration capabilities** with popular tools and platforms
+- **Documentation** with setup guides and best practices
+
+## Build custom agents
+
+Don't see what you need? Our platform supports building custom agents tailored
+to your specific requirements.
+
+
+ Create your own AI agent with the Hypermode Concierge. Define custom
+ workflows, integrate with your tools, and deploy in minutes.
+
diff --git a/agents/faq.mdx b/agents/faq.mdx
new file mode 100644
index 00000000..e9bee82e
--- /dev/null
+++ b/agents/faq.mdx
@@ -0,0 +1,86 @@
+---
+title: "Frequently Asked Questions"
+sidebarTitle: "FAQs And Tips"
+description: "FAQs and tips for getting the most out of Hypermode Agents"
+---
+
+**What's an AI Agent?**
+
+An AI agent is a computer program that can understand instructions, answer
+questions, and help you complete tasks automatically.
+
+**What's an MCP server?**
+
+MCP stands for “Model Context Protocol.” An MCP server is a special part of the
+agentic system that helps agents communicate, coordinate, and share information
+with each other or with different tools. It acts as a central hub so agents and
+tools can work together smoothly.
+
+**What's a tool (in an agentic system)?**
+
+A tool is a specific function or service that an agent can use to get things
+done. For example, a tool might let an agent send an email, search a database,
+or fetch information from the internet. Tools extend what agents can do beyond
+just answering questions. Agents discover tools via MCP servers.
+
+**What does Hypermode Agents do?**
+
+Hypermode Agents is a tool that lets you create your own AI agents. You can set
+up agents to help with things like answering questions, automating tasks, or
+providing expert support—no coding required.
+
+**Is Hypermode Agents just for developers?**
+
+No. Hypermode Agents is designed for everyone, even if you have no coding
+background.
+
+**What can we use an AI agent for?**
+
+You can use an AI agent to answer questions, automate repetitive work, reduce
+“swivel chair” work, organize information, or assist with daily tasks.
+
+**What if the agent doesn't work as expected?**
+
+You can change your instructions and test again. It is normal to adjust and
+improve your agent over time.
+
+**What's a system prompt?**
+
+A system prompt is a set of written instructions that guides the overall agent's
+actions and responses. Think of this as defining your agent's personality and
+capabilities.
+
+**What about information security?**
+
+Yes. Hypermode takes privacy and security seriously and protects your data.
+
+## Tips for training your agents
+
+- **Give explicit instructions**
+ - Example: "Any time you post a message via the Slack tool on behalf of the
+ user, prepend your message with: 'Hypermode Agent Mr. Robot:' but only do
+ that when you post in Slack. Make sure not to do so when just responding to
+ the user."
+- **Set clear boundaries**
+ - Example: "Only answer questions related to the Hypermode Agents. If asked
+ about other products, politely decline."
+- **Specify output format**
+ - Example: "Respond using numbered steps for instructions, and use bullet
+ points for lists."
+- **Provide example interactions**
+ - Example:
+ - User: "How to reset the password?"
+ - Agent: "1. Go to the login page. 2. Click 'Forgot Password'. 3. Follow the
+ instructions sent to your email."
+- **Define tone and style**
+ - Example: "Use a friendly and professional tone. Keep responses under 100
+ words unless more detail is requested."
+- **Anticipate common questions**
+ - Example: "If a user asks about pricing, direct them to the pricing page and
+ offer to connect them with sales."
+- **Tell the agent what not to do**
+ - Example: "Don't provide legal or medical advice. Don't make up information
+ if you are unsure."
+- **Test and revise**
+ - After writing your prompt, test it with sample requests. If the agent's
+ responses are off-target, revise your instructions to be even more specific.
diff --git a/agents/introduction.mdx b/agents/introduction.mdx
new file mode 100644
index 00000000..b0be4dcc
--- /dev/null
+++ b/agents/introduction.mdx
@@ -0,0 +1,83 @@
+---
+title: "Hypermode Agents"
+sidebarTitle: "Overview"
+description:
+ "Build AI agents that act, not just chat—from natural conversation to
+ production-ready code"
+---
+
+Most AI agents today still feel like prototypes. They can generate content,
+answer questions, or summarize a PDF. But when it comes to doing real
+work—embedding in live apps, reducing back-office load, or following up with
+customers—they fall short.
+
+They chat. But they don't act.
+
+**Hypermode Agents are here to change that.** Built on the latest AI advances,
+Hypermode Agents are built for work, not just conversation. You'll learn what
+agents can do, how they reason, and what their outputs look like, all while
+building something useful from day one.
+
+## The complete AI development platform
+
+Built on top of the open source Modus AI Agent Framework and the Hypermode
+Platform, Hypermode Agents enables you to get started building domain specific
+agents from natural language.
+
+
+
+- **Concierge** is Hypermode's AI-powered agent that transforms natural language
+ descriptions into fully functional agents. No coding experience required.
+- **Threads** is a conversational interface that lets you build, train, and
+ refine AI agents through natural language—no coding required. When you're
+ ready, **eject to code** exports your trained agent as a complete Modus app.
+- **Connections** enable Hypermode Agents to understand and interact with their
+ environment. By leveraging Model Context Protocol (MCP) servers, Hypermode
+ Agents **Hypermode Agents get access to a vast ecosystem of tools and
+ integrations by default.**
+- **Tasks** are repeatable sets of instructions that you can save and use later
+ with your agent. Think of a task as a learned skill for your agent.
+
+### Production-ready from day one
+
+Unlike other platforms that require you to rebuild for production, Hypermode is
+designed for real-world use:
+
+- **Serverless infrastructure** that scales automatically and costs nothing when
+ idle
+- **Full observability** with inference logging, tracing, and debugging tools
+- **Enterprise security** with role-based access and audit trails
+- **Branch-based environments** for testing and staging
+- **Open source foundation** with no vendor lock-in
+
+## From conversation to code
+
+The power of Hypermode is in its flexibility. Domain experts can build
+sophisticated agents through conversation, while developers can export those
+agents as production-ready code.
+
+**Domain experts** work directly with agents through Threads, shaping behavior
+through natural conversation and training agents with real examples.
+
+**Platform teams** can export trained agents as complete Modus applications,
+audit and version control the logic, and deploy as production microservices with
+full observability.
+
+**No information loss** between business requirements and technical
+implementation. **No rebuild required** to go from prototype to production.
+
+## What can you build?
+
+**Sales pipeline agent**: analyzes sales data and manages pipeline activities,
+integrating Stripe, HubSpot, and Slack.
+
+**Customer support agent**: analyzes support tickets and provides insights
+across email and support platforms.
+
+**Marketing insights agent**: analyzes marketing performance across channels and
+provides optimization recommendations.
+
+---
+
+_Ready to turn your ideas into agents?
+[Start building today →](https://hypermode.com/login)_
diff --git a/agents/tasks.mdx b/agents/tasks.mdx
new file mode 100644
index 00000000..e871e207
--- /dev/null
+++ b/agents/tasks.mdx
@@ -0,0 +1,27 @@
+---
+title: "Train Your Agent With Tasks"
+sidebarTitle: "Train Your Agent"
+description: "Train your agent based on learned skills"
+---
+
+Tasks are a repeatable set of instructions that you can save and use later with
+your agent. Think of a task as a learned skill for your agent.
+
+## Create task
+
+Once you've interacted with your agent through a thread and your agent has
+completed a specific activity - such as creating a recommended playlist,
+updating your calendar, or generating a research report - you can save that
+activity as a task by selecting the "Create task" button.
+
+This turns the thread into a repeatable task that you can use later to automate
+your agent's workflow.
+
+
+
+## Use tasks
+
+After saving a task to your agent you'll see the task in your agent's task list.
+You can then use the task to automate your agent's workflow.
+
+
diff --git a/agents/work.mdx b/agents/work.mdx
new file mode 100644
index 00000000..ba9831c9
--- /dev/null
+++ b/agents/work.mdx
@@ -0,0 +1,40 @@
+---
+title: "Work with your agent in threads"
+sidebarTitle: "Work With Your Agent"
+description:
+ "Interact with your agent in natural language by giving your agent tasks to
+ complete on your behalf."
+---
+
+**Threads is where ideas become agents.** it's a conversational interface that
+lets you build, train, and refine AI agents through natural language—no coding
+required.
+
+
+
+### General guidance
+
+- **Start simple:** Begin with a basic use case or workflow. Don't try to build
+ a complex agent right away—get comfortable with the basics first.
+ - You're going to need to learn to speak “agent.” You'll find some phrases are
+ obvious to you but very ambiguous to an agent. The more you use Hypermode,
+ the more it becomes natural.
+- **Define clear goals:** Know what you want your agent to accomplish. Write
+ down the specific tasks or problems you want the agent to solve.
+ - For example, "goal: update the hero text on the website" then going into the
+ rest of your instructions.
+- **Understand inputs/outputs:** Learn what information (inputs) your agent
+ needs and what kind of results (outputs) to produce.
+ - Click to expand the tool calls you see streaming by as your agent works.
+ Start to build an intuition around how your agent is executing work.
+- **Use step-by-step instructions:** Break down tasks into small, logical steps.
+ Agents perform best when instructions are clear and sequential.
+- **Use check steps:** Frequently request an agent to check its work and verify
+ that specific steps are completed. Today's AI is very eager to please,
+ unfortunately that means it lies frequently about tasks being completed. Ask
+ it to double check that specific actions have been taken.
+
+---
+
+_Ready to turn your ideas into agents?
+[Start building Hypermode Agents →](https://hypermode.com/login)_
diff --git a/dgraph/changelog.mdx b/dgraph/changelog.mdx
index 3d9ea673..047d2da2 100644
--- a/dgraph/changelog.mdx
+++ b/dgraph/changelog.mdx
@@ -22,7 +22,7 @@ To learn about the latest releases and other important announcements, watch the
| Release | First Release Date | End of Life |
| --------------------- | ------------------ | -------------- |
-| [v25.0 Preview][] | May 2025 | TBD |
+| [v25.0 Preview][] | May 2025 | TBD |
| [v24.1][] | March 2025 | September 2026 |
| [v24.0][] | June 2024 | December 2025 |
| [v23.1][] | October 2023 | April 2025 |
diff --git a/docs.json b/docs.json
index 0c6f7716..4b1e56f0 100644
--- a/docs.json
+++ b/docs.json
@@ -9,20 +9,11 @@
},
"favicon": "favicon.png",
"banner": {
- "content": "🎉 Dgraph v25 Preview is out with namespaces, MCP, and more! [Learn more →](/dgraph/v25-preview)"
+ "content": "🎉 Hypermode Agents Beta: natural language agent creation, 2,000+ integrations, export to code [Try Sidekick now! →](https://hypermode.com/login)"
},
"navigation": {
"global": {
"anchors": [
- {
- "anchor": "Hypermode Agents (waitlist)",
- "icon": "code-simple",
- "color": {
- "light": "#FF00EE",
- "dark": "#CC00BE"
- },
- "href": "https://hypermode.typeform.com/agents-waitlist"
- },
{
"anchor": "Hypermode Graphs (preview)",
"icon": "chart-network",
@@ -48,8 +39,34 @@
"tab": "Hypermode",
"groups": [
{
- "group": "Getting Started",
- "pages": ["introduction", "semantic-search"]
+ "group": "Hypermode",
+ "pages": [
+ "introduction",
+ "first-hypermode-agent",
+ "semantic-search"
+ ]
+ },
+ {
+ "group": "Agents",
+ "pages": [
+ "agents/introduction",
+ "agents/create-agent",
+ "agents/work",
+ "agents/connections",
+ "agents/tasks",
+ {
+ "group": "Example Agents",
+ "pages": [
+ "agents/example-agents",
+ "agents/agent-gallery/gtm-engineer",
+ "agents/agent-gallery/market-researcher",
+ "agents/agent-gallery/social-media",
+ "agents/agent-gallery/workout-scheduling",
+ "agents/agent-gallery/music-recommendation"
+ ]
+ },
+ "agents/faq"
+ ]
},
{
"group": "Graphs",
diff --git a/first-hypermode-agent.mdx b/first-hypermode-agent.mdx
new file mode 100644
index 00000000..6b4bb2a5
--- /dev/null
+++ b/first-hypermode-agent.mdx
@@ -0,0 +1,120 @@
+---
+title: Your First Hypermode Agent
+description:
+ "Work with your first Hypermode Agent - Sidekick your personal assistant"
+sidebarTitle: "Tutorial: Your First Agent"
+---
+
+In this tutorial we'll get started with our first
+[Hypermode Agent](/agents/introduction) named Sidekick. Sidekick is a personal
+assistant that can help you with your daily tasks, such as scheduling meetings,
+reviewing our calendar, and preparing for meetings by conducting research.
+
+Along the way we'll introduce the basic concepts of working with agents in
+Hypermode, including the concepts of [connections](/agents/connections),
+[threads](/agents/work), and [tasks](/agents/tasks).
+
+## Sign in to Hypermode
+
+First, we'll [sign in to Hypermode](https://hypermode.com/login) and create our
+first workspace if we haven't done that yet.
+
+
+
+## Meet our Sidekick agent
+
+Once we've signed in and created a workspace, we'll meet our Sidekick agent.
+Sidekick is included with the Hypermode free tier and is a great way to get
+started with Hypermode Agents by learning how to interact with agents and add
+[connections](/agents/connections).
+
+
+
+Connections give our agents access to external tools and services, such as
+Google Calendar, email, GitHub, our CRM, and more.
+
+## Sidekick connections
+
+Let's configure the Google Calendar connection so Sidekick can access our
+calendar and help us prepare for meetings.
+
+
+ Sidekick is configured to connect to Google Calendar. Over 2000 other
+ connections are available by upgrading to the Hypermode Pro tier.
+
+
+
+## Suggestion task
+
+Sidekick is configured with [tasks](/agents/tasks) to help us interact with our
+agent. Tasks are a repeatable set of instructions that you can save and use
+later with your agent. Think of a task as a learned skill for your agent.
+
+
+
+## Chat and tools
+
+In addition to selecting tasks, we can also interact with our agent through
+natural language chat. The agent uses tools to complete our requests. By asking
+the agent "who are we meeting with?" it uses the Google Calendar connection to
+access our calendar and find the meeting we're preparing for.
+
+
+
+## Prepare for meetings
+
+Tools can be combined by the agent to complete our requests. Here we ask
+Sidekick to prepare for our meetings by researching who we're scheduled to meet
+with. Sidekick uses the Google Calendar connection to access our calendar and
+find the meeting we're preparing for, extracts the meeting details including
+other participants, then uses a built-in research tool to research the
+participants.
+
+
+
+## Generate talking points
+
+We can ask Sidekick to generate talking points for our meeting. Sidekick uses
+the results of the research tool and our specific guidance to generate talking
+points.
+
+
+
+
+
+## Update calendar invite
+
+We can ask Sidekick to update our calendar invite with the talking points we
+just generated. Sidekick uses the Google Calendar connection to update our
+invite.
+
+
+
+## Writing to other services
+
+Sidekick is configured to connect to Google Calendar. To enable other
+connections you'll need to upgrade to the
+[Hypermode Pro tier](https://hypermode.com/pricing).
+
+
+
+Explore other ways that Sidekick can help you in your daily tasks. When you're
+ready to explore creating new agents with new capabilities and adding other
+connections, upgrade to the Hypermode Pro tier by scheduling your onboarding
+call.
+
+
+
+Creating more custom agents from natural language, choosing over 2000 additional
+connections to add to our agent, and more are features available in the
+Hypermode Pro tier. Once you've completed the Pro-tier onboarding you'll be able
+to create agents with custom instructions. In the mean time check out the
+[Agent Gallery](/agents/example-agents) to see what kinds of agents you'll be
+able to create with [Hypermode Agents Pro tier](https://hypermode.com/pricing).
+
+See the [Hypermode Agents](/agents/introduction) documentation for more
+information about Hypermode Agents.
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diff --git a/introduction.mdx b/introduction.mdx
index 00a4829f..f0033053 100644
--- a/introduction.mdx
+++ b/introduction.mdx
@@ -1,34 +1,34 @@
---
title: Hypermode
description:
- An AI development platform that provides hosting and management capabilities
- for agents and knowledge graphs
+ An AI agent development platform that provides natural language
+ experimentation for anyone.
mode: "wide"
sidebarTitle: Introduction
"og:title": "Hypermode Docs - The AI Development Platform"
---
-{/* vale Google.Contractions = NO */}
-
-## What is Hypermode?
-
-{/* vale Google.Contractions = YES */}
-
-Hypermode is a managed service that provides the workbench and infrastructure to
-create powerful, engaging, and secure agentic flows, AI features, and backend
-services.
-
-With a suite of tools and services, start with one Hypermode component or all of
-them together as your complete backend.
+
+
+
+Hypermode is a complete workbench for rapidly building agents with natural
+language. When you're ready to embed an agent into your app, eject to code and
+manage it as a backend service.
-
- Build and deploy agentic flows, agents, and AI-enabled services | Join our
- waitlist →
+
+ Craft powerful agents in natural language with access to your tools and data
+
+
+ Build and deploy agents, flows, and AI-enabled services with more control
Organize your knowledge in a natural structure of nodes and relationships
@@ -36,10 +36,6 @@ them together as your complete backend.
Experiment rapidly with the most popular open source and commercial models
-
- Understand and control the end-to-end flow of your agents, data, and
- inferences
-
## Built on open source
diff --git a/styles/config/vocabularies/general/accept.txt b/styles/config/vocabularies/general/accept.txt
index 0c53ac6f..e4263fcc 100644
--- a/styles/config/vocabularies/general/accept.txt
+++ b/styles/config/vocabularies/general/accept.txt
@@ -1,10 +1,12 @@
[Aa]gentic
[Aa]lterSchema
+Attio
[Bb]oolean
[Cc]ollections
[Cc]omputeDistance
[Cc]omputeSimilarity
[Cc]onsole
+CRM
[Dd]eserialize
[Dd]istilbert
[Dd]ropAll
@@ -24,12 +26,15 @@
[Hh]ypercategories
[Hh]ypermode
[Ii]nferencing
+Jira
[Ll]og
+maxWidth
(?i)mcp
[Mm]odus
[Nn]amespace
[Nn]amespaces
[Nn]nClassify
+OAuth
[Oo]nboarding
[Pp]arams
[Qq]ueryScalar
@@ -74,6 +79,9 @@ RDF
REST|[Rr]est
Scattergories
SDK|sdk
+[Ss]idekick
+Spotify
+Strava
TLS
tokenizer
URL|url
@@ -83,6 +91,8 @@ UUID
Warnf
WASM
waitlist
+Xero
+Zendesk
# Dgraph terms
Alpha
@@ -134,4 +144,11 @@ vCPU|vCPUs
WebSocket
USA
-[Gg]raphs
\ No newline at end of file
+[Gg]raphs
+
+Vercel
+Exa
+Pipedream
+Mailchimp
+Shopify
+Sandboxing
\ No newline at end of file