New releasesImprovements
Calendar booking cards
Agents can now complete booking flows inside chat:- Availability checks -
calendar_check_availabilityreturns real open slots for a duration, date range, and timezone - Interactive booking card -
calendar_request_bookingrenders selectable slots and waits for the visitor to choose a time - Calendar event creation -
calendar_create_eventcreates the event after a slot is selected - Confirmation email - attendees receive a booking email with an
.icsfile and calendar links when an email address is available - Timezone-safe display - event responses include
display_timeso final answers do not recalculate UTC timestamps incorrectly
Deploy channel states
The Deploy page now focuses on launch readiness and channel state:- Launch readiness - hosted page, widget, CRM, calendar, workflow, workspace, and connector checks
- Channel states - enabled, setup required, plan-gated, and coming soon
- Agent email state - address, auto-reply, and notification status
- Workspace publishing - published workspace URLs and custom domain status are surfaced alongside other deployment channels
- Router SDK channels - Slack, Discord, Telegram, WhatsApp, and Crisp are grouped as advanced deploy channels
Boost platform tools
The dashboard assistant, Boost, can now use internal platform tools to inspect and configure agents:- list manageable agents and projects
- check setup readiness
- check plan limits
- update agent feature switches
- apply CRM and workflow templates
- configure calendar, widget, email, connectors, and workspace publishing
- prepare test conversations and export sanitized
.boostgpttemplates
New releasesImprovements
Workflow automations
Agents now include bot-level workflow automation for turning lead and subscriber events into follow-up:- Business workflow editor — build trigger -> condition -> action workflows from the Automations tab
- Event triggers — run workflows from CRM contact/deal/task events, subscriber lifecycle events, billing events, and incoming webhooks
- Scheduled workflows — run workflows on a recurring minute interval
- Action blocks — notify owners, send webhooks, create/update CRM contacts, deals, tasks, notes, and run connector tools
- Template mapping — map event payload data into actions using
{{field}},{{payload.field}}, and{{steps.step_id.result}} - Run logs — inspect recent workflow runs, status, failures, and execution output
CRM workspace
BoostGPT agents now include a lightweight CRM for turning conversations into managed leads and sales follow-up:- Lead inbox — capture contacts from agent conversations with customizable intake fields
- Contact management — edit, archive, search, and review contact details, notes, custom fields, and activity
- Deals and pipelines — create deals, move them across Kanban stages, edit stage names/status, reorder stages, and delete deals or stages safely
- Tasks and reminders — create follow-up tasks with due dates, priorities, reminder status, snoozing, and background reminder delivery
- CRM webhooks — subscribe to CRM contact, deal, pipeline, custom field, task, note, and reminder events from the Webhooks integration
- Reporting — view basic CRM totals for contacts, deals, pipeline value, and tasks
- Agent tools — agents can create/update CRM contacts, notes, deals, and follow-up tasks during conversations
Tool access controls
Connector and built-in tools now support role-aware access:- Public-safe tools — lead capture, booking, workspace/sandbox tools, scoped scheduling, and scoped notifications can run in public agent chats
- Staff-only tools — private CRM search, deal lists, reports, task lists, and any connector tool marked
staff_onlyare limited to owners, admins, and moderators - Scoped CRM writes — public users can only update CRM records connected to their current chat
- Safer notifications — public users cannot force arbitrary notification recipients
- Custom connector metadata — connector builders can mark tools with
access,tool_access,boostgptAccess, orboostgpt_access
New releases
Agent templates
Export any agent as a portable.boostgpt file and import it to create a new agent or update an existing one:- Full config export — captures instruction, model, capabilities (memory, sandbox, heartbeat, etc.), branding, tool connections, artifact settings, and upload rules
- One-click import — import when creating a new agent or apply to an existing agent from Settings → Agent Template
- Predefined connector auto-provisioning — tools like HubSpot, Slack, and Twitter are automatically wired up during import; connect your credentials in the Tools tab
- Credential-safe — API keys and OAuth tokens are never included in exported files
- Plain JSON —
.boostgptfiles are human-readable and can be version-controlled alongside your code
New releases
Chat widget
Embed any agent on any website as a floating chat bubble — one script tag:- Full agent experience — workspace, tools, file uploads, and custom interfaces all work inside the widget
- Branding — bubble inherits your accent color, avatar, and greeting messages. 16 built-in SVG icons or use your bot avatar
- Greeting bubbles — stacked message cards from your branding settings appear above the floating button
- New chat button — accent-colored header with bot name, reload icon, and close button
- Chat persistence — conversations persist across page refreshes via localStorage
- Mobile responsive — full-screen overlay on small viewports
- Auto-open — optionally open the widget after a configurable delay
- Programmatic API —
open(),close(),toggle(),hide(),show(),destroy(), and event listeners - Framework support — setup guides for HTML, Next.js, Nuxt.js, React, Vue, and SvelteKit
New releases
Widget SSO
Auto-identify users in the chat widget without requiring them to log in again:- JWT-based — your backend signs a token with the bot’s SSO secret. The widget verifies it server-side.
- Auto-provisioning — if the user doesn’t exist, BoostGPT creates their account and subscriber record automatically
- Chat history — identified users get persistent conversations and user memory across sessions
- Skip login gates — SSO users bypass
require_loginsettings - Secure — tokens expire (1h), are signed (HS256), and the secret is never exposed client-side
New releases
Agent marketplace
Bot owners can now submit their agents to a public marketplace:- App-store model — agents go through
draft → pending_review → approvedstatus flow with staff review - Ratings & reviews — users rate agents 1–5 stars with optional written reviews. Cached aggregates for fast display.
- Public browse — search by name, category, or featured status. Sorted by rating and views.
- Creator dashboard — view all your listings, update metadata, resubmit rejected listings, or withdraw
- Admin review — staff can approve, reject (with notes), or suspend listings
New releases
Pluggable agent interfaces
Agents can now build custom HTML interfaces and activate them as the chat UI — replacing the default message view with a fully interactive app:set_interfacetool — agents call this built-in tool to activate any workspace HTML file as the chat interface- Bridge SDK — auto-injected JavaScript SDK (
window.BoostGPT) that lets custom interfaces communicate with the chat system via postMessage - Bidirectional API — interfaces can send messages (
chat.sendMessage), read files (workspace.readFile), listen for responses (chat.onResponse), approve tools, and more - Per-chat or default — set an interface for a single conversation or as the bot’s default interface for all new chats
- Real-time updates —
workspace.onFileChange()auto-refreshes the interface when the agent updates data files - Dashboard controls — “Set as Chat Interface” and “Set as Default Interface” context menu actions in the workspace file explorer
chat, workspace, tools, schedule, bot, ui — full programmatic access to the agent’s capabilities from within custom HTML.This enables agents that deliver full applications — fitness trackers, dashboards, interactive tutorials, data visualizations — not just text responses.Improvements
Workspace scope
Bot owners can now choose how workspaces are scoped for authenticated users:- Per Account (default) — one workspace shared across all conversations. Files persist between chats.
- Per Chat — each conversation gets its own isolated workspace. Ideal for tutoring, code reviews, and sandbox experiments.
New releases
Code sandbox
Agents can now run code in isolated Microsandbox microVMs — not simulated, actually executed:commandbuilt-in tool — agents write and execute shell commands, Python scripts, or Node.js code in a secure sandbox- Isolated microVMs — each execution runs in its own container with 512MB–2GB RAM, 1–2 CPUs, and 30–180s timeout (varies by plan)
- File sync — workspace files are pushed to the sandbox before execution, results synced back
- Runtime auto-detection — automatically selects Python or Node.js based on file extensions in the workspace
- Output capture — stdout, stderr, and exit codes returned to the agent. Non-zero exit codes flagged with warnings.
- Large file support — files over 60KB are chunked to avoid system limits
New releases
Agent email
Every agent now gets its own email address:- Unique address — each agent receives an email like
youragent@boostgpt.page - AI-powered replies — users email your agent and receive AI responses based on the agent’s instruction and training data
- Dashboard integration — email conversations appear alongside chat conversations in your dashboard
- Subscriber capture — email senders are automatically added as subscribers
- Custom email templates — customize verification, welcome, password reset, subscription, and credit notification emails with your branding
New releases
Built-in agent tools
Agents inagent reasoning mode now have access to 22 built-in tools across 8 categories — no configuration required:- Knowledge —
search_memoryfor vector search through training data,screenshotfor capturing web pages,web_fetchfor extracting page content as markdown - User Memory —
remember,recall,list_memories,forgetfor managing per-user long-term memory - Files —
write,read,edit,grep,deletefor sandbox workspace operations - Planning —
create_plan,update_plan,read_plan,accept_planfor structured multi-step workflows - Communication —
ask_userfor structured questions with selectable options,notify_userfor proactive notifications,message_agentfor cross-agent messaging - Execution —
commandfor running code and shell commands in an isolated sandbox - Automation —
schedule_taskfor recurring scheduled tasks - Utility —
thinkfor internal reasoning without user-visible output
New releases
Workspaces
Agents now have a sandbox file system — isolated workspaces where they can create, read, edit, search, and delete files:- Built-in tools —
write,read,edit,grep, anddeletetools available to agents inagentreasoning mode - Per-user isolation — authenticated users get their own workspace per agent, anonymous users get a chat-scoped workspace
- File explorer — built-in file tree UI with syntax-highlighted code viewer
- Real-time sync — files created or edited by the agent appear instantly in the workspace explorer
- REST API — full workspace and file management via the API for programmatic access
Breaking changes
Agent reasoning mode
The reasoning system has been simplified to three modes:auto— automatically selects the best approach for each requeststandard— quick, single-pass answers (1x credit)agent— autonomous multi-step reasoning with tool use (up to 10x credit)
agent mode replaces the previous interactive, stepwise, and react modes with a unified autonomous agent loop that can read files, search, edit code, execute tools, and plan multi-step workflows.Deprecated: interactive, stepwise, and react reasoning modes are no longer supported. Use agent instead.New releases
Plan chat mode
Conversational “plan-then-execute” workflow for multi-step tasks:- Plan mode (
chat_mode: 'plan') — AI proposes a step-by-step plan before executing any tools - Approve / Modify / New — approve to execute, reply with changes to revise, or start a fresh plan
- Tool-aware plans — the AI considers all available tools (built-in and connected integrations) when generating plans
- Direct answers — if no tools are needed, bypasses planning and responds directly
New releases
Edit chat mode
Agent-powered code editing through the agent reasoning pipeline:- Edit mode (
chat_mode: 'edit') — routes your request through the agent, which uses the built-inedittool for targeted file changes - Toggle switch — Chat/Edit/Plan toggle next to the send button
- Edit button — per-message “Edit” action on system messages with code blocks
- Smart editing — the agent analyzes your request, locates the right file, and applies precise string replacements
- Multi-step edits — the agent can chain multiple edits across files in a single turn
New releases
Heartbeat scheduling
Transform agents from passive chatbots into proactive autonomous assistants:- Autonomous execution — agents wake up on a timer, execute a prompt, use connected tools, and report back
- Flexible scheduling — configurable intervals, active hours, active days, and timezone support
- notify_user — agents can send notifications (email, in-app) to subscribers during execution
- schedule_task — agents can create their own recurring tasks for follow-up actions
- message_agent — agent-to-agent async communication for multi-agent workflows
Safety controls
- Circuit breaker — auto-pause after consecutive failures (configurable threshold)
- Credit budgets — per-heartbeat spending limits that reset monthly
- Plan-tier caps — maximum heartbeats per agent and minimum intervals enforced per plan
- Bot-level toggle — per-agent heartbeat enable/disable in Settings → Features & Options
Execution dashboard
- Logs — every execution with status, duration, tokens, and credits charged
- Activity chart — daily visualization of execution volume
- Stats — success rate, type breakdowns, and time-series data
API access
Full heartbeat management via the external API (/v1/bot/heartbeat/*) — create, list, enable, disable, trigger, delete, view logs, and get stats programmatically.See the Heartbeat guide for no-code setup or the Heartbeat API for programmatic access.New releases
User memory
Agents now remember user preferences, facts, and context across conversations:- Automatic memory — agents learn and store important details (names, preferences, decisions) from natural conversation
- Per-user isolation — each user has their own private memory store, separate from agent training data
- Memory bootstrap — relevant memories are automatically injected into context at the start of each conversation
- Vector-powered recall — memories are semantically searchable, so the most relevant context surfaces automatically
- Memory management — view and delete per-user memories from the Subscribers page in the dashboard
Context compaction
Long conversations no longer hit context window limits:- Automatic compaction — when conversation context reaches 70% of the model’s limit, older messages are summarized
- Memory-safe — important facts are extracted and saved to user memory before compaction
- Model-aware — compaction threshold adapts to each model’s actual context window size
- Transparent — recent messages are preserved intact, only older history is summarized
New releases
Proactive trigger system
Transform your agents from passive chatbots into proactive assistants that reach out at the right moment:- Smart triggers: Fire events based on user behavior (errors, cart abandonment, page visits)
- Multiple UI types: Button, toast notification, banner, or inline embed
- Customizable appearance: Colors, text, positioning, animations
- Delayed triggers: Show help after a configurable delay
Screenshot capture
Capture visual context when triggers fire to give your agent full situational awareness:- Automatic screenshots: Capture the page when users click the trigger
- Quality control: Configurable JPEG quality and max dimensions
- Privacy-first: Opt-in only, users must enable per-trigger
- Requires html2canvas: Lightweight dependency (~40KB gzipped)
Multi-bot routing
Route different events to specialized agents on the same page:- Per-trigger botId: Override the default agent for specific triggers
- Specialized agents: Sales bot for pricing, support bot for errors, billing bot for invoices
- No re-initialization: Switch between bots without calling init() again
Rich context passing
Provide your agents with full situational context:- Source URL: Agents know which page the user is on
- Custom context: Pass any data (cart value, error codes, user info)
- User identification: Associate triggers with logged-in users
- Prompt templates: Use
{{context.field}}in agent instructions
New releases
Reasoning models support
- OpenAI O-Series: O1, O1 Mini, O3 Mini with extended thinking
- Claude 3 Opus: Extended thinking capabilities
- Google Gemini: 2.0 Flash Thinking mode
- xAI Grok: Grok 3 Reasoning
- DeepSeek R1: Cost-effective reasoning model
- Multiple reasoning modes:
auto,standard,agent
Expanded model catalog
- 50+ models across 9 AI providers
- GPT-5 series: GPT-5, GPT-5.1, GPT-5-mini, GPT-5-nano
- GPT-4.1 series: GPT-4.1, GPT-4.1-mini
- Claude 4.5 series: claude-sonnet-4-5, claude-haiku-4-5
- Gemini: Gemini 3, Gemini 2.5 Pro, Gemini 2.5 Flash Lite
- Grok: Grok 4.1, Grok 4, Grok 3 variants
New provider support
- xAI integration
- DeepSeek integration
- Existing: OpenAI, Google, Anthropic, Mistral, Cohere, Groq, Ollama
New releases
No-code agent creation
- Visual dashboard interface: Create agents without writing any code
- Quick setup: Get started in under 5 minutes
- Custom branding: Fully branded agent pages with custom domains
- Multiple deployment options: Embed widgets, standalone pages, or custom URLs
Training made simple
- File uploads: Drag-and-drop PDF, Word, and text files
- URL-based training: Add website content with one click
- Direct text input: Paste content directly into the builder
- Memory management tab: Simplified interface for managing training data
Lead capture & monetization
- Email gating: Built-in lead capture forms
- 94%+ conversion rates: Optimized for maximum subscriber growth
- Lead analytics: Track and export subscriber data
- Integration ready: Connect with your existing CRM and marketing tools
Custom branding & design
- White-label experience: Remove BoostGPT branding
- Custom themes: Choose colors, logos, and styling
- Conversation starters: Pre-configured example questions
- Custom greetings: Personalized welcome messages
New releases
MCP server generation
- Auto-generate from OpenAPI specs: Convert any OpenAPI specification to MCP server
- Postman collection import: Transform Postman collections into MCP servers
- Managed hosting: Custom MCP URLs at
https://mcp.your-server-id.boostgpt.co - External compatibility: Use with Claude Desktop, ChatGPT, and other MCP-compatible agents
Pre-built connector library
45+ ready-to-use connectors including:- Calendar: Calendly, Google Calendar, Cal.com, Outlook
- Email: Gmail, Outlook, SendGrid, Mailchimp, Twilio
- CRM: HubSpot, Salesforce, Pipedrive, Zoho
- Productivity: Notion, Asana, Jira, Linear, Trello, ClickUp, Monday.com
- Storage: Google Drive, Dropbox, OneDrive
- Development: GitHub, Vercel, Netlify
- Analytics: Google Analytics, Mixpanel, Datadog, Sentry
- AI & Media: Stability AI, Runway, Kling AI, Luma Labs, Unsplash, Pexels
- E-Commerce: Shopify, WooCommerce, Stripe
- Communication: Discord, Slack
New releases
Multi-platform support
- Discord: Full Discord bot integration
- Telegram: Telegram bot adapter
- Slack: Slack workspace integration
- WhatsApp: WhatsApp Business API support
- Crisp: Live chat integration
- Custom adapters: Build your own platform adapters
Custom adapter framework
- Standardized adapter interface
- Example Twitter adapter provided
- Event-driven architecture
- Message routing and context management
New releases
Event subscriptions
connector.created- Connector creation eventsconnector.updated- Connector configuration changesconnector.deleted- Connector deletion eventssubscriber.joined- New subscriber capturememory.created- Memory source additions
Security features
- HMAC SHA-256 signature verification
x-boostgpt-signatureheader validation- Secure event delivery
- Webhook testing with ngrok support
Improvements
Advanced chat parameters
- reasoning_mode: Choose from
auto,standard,agent - temperature: Control model creativity (0-1 range)
- model override: Change models per request
- provider_host: Self-hosted Ollama support
- provider_key: Bring Your Own Key (BYOK) for any provider
- source_ids: Target specific training sources
- memory control: Toggle agent memory per request
Response customization
- Real-time streaming with
streamparameter - Token limit control with
max_reply_tokens - Instruction override per request
- Conversation context with
chat_id
Improvements
Training capabilities
- Multiple source types: Text, websites, files, multiple URLs
- Status tracking: Monitor processing status (
processing,success,failed) - Token usage: Track tokens per training item
- Source management: Update and delete training data
- Website crawling: Train on entire domains
Supported formats
- PDF documents
- Word documents (DOCX)
- Text files
- Markdown files
- CSV files
- PowerPoint presentations
Improvements
File upload functionality
- Added file upload capability to chatbot builder source management
- Users can now upload files directly within the source management feature
- Train your AI bot with local documents more efficiently
Chat UI improvements
- Updated chat interface to display messages in bubbles
- Redesigned for more engaging and intuitive user experience
- Enhanced aesthetics and readability of chat feature
Message retry functionality
- Implemented “failed to send. Retry” feature for chat messages
- Informative prompts when network issues prevent message delivery
- Option to retry sending failed messages
- Improved message delivery status visibility
Network connectivity handling
- Event stream automatically stops when network connection is lost
- Prevents unnecessary data requests and reduces potential errors
- Smoother user experience during network interruptions
- Prevents data inconsistencies
New releases
Build your own AI Assistant
- Create fully personalized AI Assistants
- Customize and configure according to specific requirements
- Enhanced flexibility and versatility
Zapier integration
- Automate chatbot workflows with Zapier integration
- Seamless data exchange between chatbot and other applications
- Streamlined processes and improved productivity
Subscriber list growth
- Leverage AI Assistant to grow subscriber lists
- Facilitate seamless interaction and engagement
- Enhanced subscription management capabilities
New releases
bot/subscriber/readall endpoint
- New API endpoint to fetch all subscribers associated with a bot
- Retrieve comprehensive list of subscribers in a single request
- Streamlined method for accessing subscriber data
- Simplified subscriber information retrieval for analysis, management, and reporting
New releases
bot/chat/readall endpoint
- Introducing chats pulling functionality for chatbots
- Effortlessly retrieve all chats in a bot
- Access valuable insights and information
- Enhance analysis and improve customer support
- Drive data-driven decisions
New releases
bot/chat/read endpoint
- Chat history pulling functionality for specific static chat_id
- Effortlessly retrieve chat history
- Access past conversations for enhanced analysis
- Improve customer support with conversation insights
- Drive data-driven decisions
New releases
bot/chat/delete endpoint
- Enable chat history deletion for specific static chat_id
- Users can reset conversations with the bot
- Enhanced user control over chat history
- Promotes fresh starts with the bot
Improvements
Response streaming control
- Added “stream” parameter to bot/chat endpoint
- Customize response delivery behavior
- Choose between partial progress updates or complete response
- Set stream to
truefor real-time updates orfalseto wait for complete response
Improvements
Conversational chat support
- Introduced chat_id parameter to bot/chat endpoint
- Engage with AI bot in conversational manner
- Maintain context across multiple messages
- Enhanced user experience with continuous conversations
Improvements
Multiple file link support
- Added support for multiple file links in bot training
- Updated source/create and source/update endpoints
- Train bots using wider variety of file sources
- Improved accuracy and effectiveness with diverse training data
Supported file types
- CSV files
- PowerPoint presentations (PPT)
- Word documents (DOC)
- PDF documents
- Markdown files (MD)
- Text files (TXT)
Improvements
Multiple webpage link support
- Added support for multiple webpage links when training bots
- Updated source/create and source/update endpoints
- Enhanced training capabilities with multiple web sources
- Improved bot accuracy and response quality