Botpress is an open source low-code chatbot construction platform that integrates NLU, large model conversation flow and visual editor, and supports multi-channel publishing.

Botpress

Botpress’s core parameters and statistics

Botpress is officially positioned as "the ultimate platform for building the next generation of chatbots". In 2026, it has evolved into a comprehensive conversational AI platform that integrates AI Agent to build AI-Native Helpdesk (Botpress Desk) and low-code conversation orchestration. Its core parameters are as follows:

Projects	Public Information
Official Positioning	AI Agent Building Platform + AI-Native Helpdesk
Core Competencies	Visualization Agent Studio, Autonomous Engine, Knowledge Bases, Botpress Desk
Deployment form	Botpress Cloud (SaaS) / Self-hosted (v12 Community Edition)
License	AGPL-3.0 (v12 Community Edition) / MIT (Cloud SDK and Tool Library) / Proprietary (Cloud Platform)
GitHub Stars	14.8k (botpress/botpress repository)
GitHub Forks	2.3k
Community scale	750k+ AI Agents, 1M+ users, 180+ countries, 31k+ Discord community
Plug-in/Integration Ecosystem	Botpress Hub (three categories: Integrations, Channels, and LLMs)
Latest version	Botpress v12 (last released in 2023-06) / Botpress Cloud (continuous iteration SaaS)
Support Platform	Web, API, Desktop (CLI)
Security Certification	SOC II, GDPR Compliance KPMG Penetration Testing

Differences in deployment forms: Botpress Cloud is the current main product, providing a fully managed SaaS experience, including Botpress Desk (AI work order system), Botpress Studio (visual Agent builder) and Autonomous Engine (autonomous inference engine). The v12 community version is an old open source project and can still be deployed on your own servers, but mainline updates have been stopped. New users should select the Cloud edition by default.

Ecological Density: Botpress Hub aggregates official and community-contributed Integrations (such as Zendesk, Intercom, Salesforce), Channels (Webchat, WhatsApp, Slack, Discord, Telegram, Instagram, Facebook Messenger, Email, Voice) and LLMs (supports mixed use of multiple models), allowing the Agent's capability boundaries to continue to expand through the plug-in mechanism.

Community activity: The GitHub repository shows 231 contributors and continuous submission records (the latest submission was 10 hours ago), indicating that Botpress has not abandoned the open source ecosystem due to cloudization, and developer tools such as CLI, SDK, and Client remain MIT open source.

Botpress’ users and market recognition

Enterprise customer coverage: The customer logos disclosed on the official website include American Express, Polestar, VML, Hainan Airlines and other cross-industry brands, indicating that its products have proven cases in customer service scenarios in finance, aviation, marketing and other fields.

Customer success data: The case page of the official website disclosed three sets of verifiable results - HOSTIFAI achieved a 75% automatic resolution rate, WAIVER GROUP achieved a 9-fold increase in visitor interaction, and EXTENDLY reduced call volume by 30%. These data show that Botpress can improve the automatic resolution rate of AI customer service to a high level in real production situations, and has the ability to adapt to different industries.

G2 Rating: The G2 platform shows a 4.5-star rating. User feedback focuses on the three key dimensions of "deployment speed (online within a few days)", "pricing transparency (billing by conversation rather than agent)" and "strong ability to handle complex work orders".

Community Ecosystem: Discord community has 31k+ members, GitHub 14.8k Stars and 2.3k Forks, indicating that external developers continue to be interested in Botpress’ plug-in development and integration contributions. The official CLI and SDK are provided, and third-party developers can build their own Integration and publish it to the Hub to form a positive loop.

Market Positioning Difference: Compared with competing products such as Zendesk AI and Intercom Fin, Botpress's differentiation lies in its "unlimited number of seats" pricing strategy and the ability of its "autonomous reasoning engine" to process complex work orders - it is not just an AI chat plug-in, but a complete AI-Native Helpdesk alternative.

Cost Advantages of Botpress

The core logic of Botpress's cost structure is "billing based on the volume of conversations, not the number of seats", which has obvious cost advantages for support teams with larger seat sizes. The following is expanded into three levels:

C client/individual user

• Free Plan: $0/month, including 100 conversations/month, 3 agents, 3 AI Agents, Botpress Desk + Studio full functionality, and community support. Suitable for individual developers or personal projects to test the waters.
• Plus plan: $150/month (annual payment), includes 250 conversations/month, 3 agents, unlimited AI Agents, WhatsApp channels, white label Webchat, custom domain name Help Center, and technical online support. Excessive conversations are automatically renewed at $65/100 times ($0.65/time).
• Hidden Cost: AI usage (LLM inference Embedding, Web Search) has been packaged into the conversation quota and is not billed separately. This is an important benefit for individual users - no need to worry about exploding API bills.

Developer/API Integration

• CLI and SDK: @botpress/cli, @botpress/client, @botpress/sdk are all MIT open source and free to use.
• Integration development: Developers can use bp init to create an Integration locally and use bp deploy to deploy it to the workspace; private deployment is free, and there is no charge for publishing to a public Hub.
• Botpress Cloud API: Manage Knowledge Bases, Tables, and Agent configurations through the API, and calls are counted toward the conversation quota of the workspace.
• Hidden Cost: Developer time cost is the main investment - the writing, debugging and testing of Integration still require a certain amount of TypeScript development experience, and low-code visualization cannot cover all customization needs.

Enterprise/Privatization

• Team plan: $750/month (annual payment), includes 1,500 conversations/month, unlimited agents Teams & RBAC, route distribution, team analysis panel, real-time collaboration. Excessive conversations are automatically renewed at $50/100 times ($0.50/time).
• Enterprise Plan: Customized conversation volume and pricing, including exclusive support SLA & security review, customized storage Voice channel. Need to contact sales for confirmation.
• Botpress for Good: Nonprofits, educational institutions, and open source projects can apply for discounted pricing.
• Self-hosted (v12 Community Edition): Free, no limit on conversation volume, but lacks the Cloud version's hosting infrastructure, auto-scaling Botpress Desk, and the latest AI Agent capabilities, and mainline updates have been stopped. Suitable for teams that have extreme requirements for data sovereignty and can afford operation and maintenance costs.

Cost comparison with competing products (official data deduction)

Cost dimension	Botpress Plus	Zendesk (equivalent seat)	Intercom (equivalent seat)
Monthly fee (25 agents, 1,200 conversations)	~$9,000/year	~$71,100/year	~$39,756/year
Seat unit price	$0 (unlimited seats)	~$165/agent/month	~$114/agent/month
AI usage billing	Packaged in conversation	Billed by Token alone	Billed by Resolution alone
Overage fee	$50-$65/100 conversation	Upgrade and expand by seat	Tiered pricing by Resolution

Derivation conclusion: When the number of team agents exceeds 10 and the conversation volume is within a reasonable range, the annual cost of Botpress is approximately 23%-35% of the traditional Helpdesk solution. But for micro teams with extremely low conversation volume (<100/month), the Free plan is enough without paying.

Main functions of Botpress

Botpress's capability system has transcended the scope of the traditional "chatbot platform" and evolved into a complete AI-Native customer service infrastructure. The following five functional modules constitute its core competitiveness:

• Botpress Studio (Visual Agent Builder): Drag-and-drop canvas design Agent logic, supporting conditional branching, looping, sub-processes and Autonomous Node. Non-technical teams can generate complete conversation flows through natural language descriptions, and development teams can write custom TypeScript logic in Code nodes. The built-in dialogue simulator can test and debug Agent behavior before release to avoid surprises after going online.
• Autonomous Engine: This is the core capability that distinguishes Botpress from most chatbots - the Agent does not follow a fixed script, but the LLM reasons "what should be done next" in real time. The engine makes autonomous decisions based on the conversation context, available toolset, and constraint rules: whether to call the knowledge base to answer, trigger an external API to perform operations (such as refunds, audits), or escalate to manual work. Developers can set "Guardrails" (guardrail rules) to limit the Agent's autonomy on irreversible operations.
• Knowledge Bases: Supports whole-site crawling (URL import), document upload (PDF/Word/TXT/MD, single file limit 100MB), tabular data (CSV/Spreadsheet) and rich text entry. The content is automatically vectorized, and the agent provides answers with references based on Retrieval Augmentation Generation (RAG) when answering. The API interface can programmatically manage knowledge base content and is suitable for dynamic update scenarios (such as product inventory, policy changes).
• Botpress Desk (AI-Native Helpdesk): Built-in complete work order system, deeply integrated with Botpress Agent. Supports work order routing (automatic allocation based on capacity/busy/working time), custom status/label/field, merge/suspend/threaded reply, and Macros (quick reply + automatic action). Tickets that cannot be resolved by the Agent are "hot handed over" to humans - complete with complete conversation history, account context and attempted troubleshooting steps to avoid cold handover.
• Botpress Tables (Structured Data Engine): Enables cross-session data storage and retrieval in conversations. Available for product catalog

, user records, lookup tables and other scenarios, supporting millions of rows without performance degradation. The bottom layer supports two-way data synchronization - Agent can query, create or update Table records in the conversation, and implement transaction-level operations such as refunds and order modifications.

Expert View: There is an obvious synergy between these five functions - the Agent built by Studio calls Knowledge Bases and Tables through the Autonomous Engine to obtain context, forming a complete "AI processing → human intervention → system learning" system in the Desk. Compared with the traditional "chatbot + Helpdesk" solution, Botpress is more integrated and avoids the problems of cross-system switching and context breakage. But the synergy also means that once there is a problem in one section (such as Knowledge Base index quality), it will have a chain impact on the entire work order processing link.

Botpress model and version evolution

The version pedigree of Botpress can be divided into two stages: the open source era of v11/v12, and the SaaS era of Botpress Cloud.

Open source era (v11 - v12)

Version	Date	Core Changes
Botpress v11	~2021-2022	Lay the foundation for the visual Flow editor and NLU engine, supporting custom Code nodes
Botpress v12.0	~2022-08	Rewrite the UI architecture, introduce conversation analysis dashboard, and prototype of the plug-in market
Botpress v12.30.9	2023-06-23	The open source mainline is finally released and will only be maintained for security in the future

The v12 series has gone through a total of 126 Releases from the first version to the final version, and the community contribution is highly active. After mid-2023, Botpress will completely shift its development focus to the Cloud platform, and v12 will enter a pure maintenance state.

Cloud Era (Botpress Cloud/Desk/Studio)

Botpress Cloud adopts the SaaS continuous delivery model without traditional version numbers. The key milestones of the product are based on feature releases:

• Early 2024: Launch of Botpress Studio (visual Agent builder), introducing the concept of Autonomous Node.
• Mid-2024: Release Knowledge Bases and Tables to complement knowledge management and structured data capabilities.
• 2025: Launch of Botpress Desk (AI-Native Helpdesk), officially transforming from "chat robot platform" to "AI customer service infrastructure".
• 2026 Q1: Upgrade Autonomous Engine to v2, enhancing tool calling and multi-model mixing capabilities. Release of Botpress Hub (Marketplace for Integrations/Channels/LLMs).
• Q2 2026: Launched Voice channel (AI voice agent), Botpress for Good charity plan SOC II + HIPAA compliance certification.

Continuous Integration Status: The GitHub repository shows that Botpress Cloud's SDK/CLI/Client still maintains a daily submission frequency (the latest submissions are from @franklevasseur and @greptile-apps[bot]), and the Integration and Plugin ecosystem continues to expand.

Technical advantages of Botpress

Botpress's technical architecture is designed with "AI-First Helpdesk" as its design goal, and is fundamentally different from traditional chatbot platforms:

Architecture Link: User Input → Botpress Desk/Channel → Autonomous Engine (LLM Reasoning) → Tool/Knowledge Base/Tables → Action Execution/Response Generation → Writeback Desk/Channel. Control flow is LLM-driven dynamic decision-making rather than preset decision tree scripts.

Autonomous reasoning vs fixed scripts: Traditional chatbots rely on predefined dialogue trees - whichever branch the user takes, the robot takes. Botpress's Autonomous Engine passes each user input to LLM to determine the intent, and then selects the optimal action path from the available toolset. This means that Botpress Agent can handle "never seen" problems, unlike script bots that directly report errors for ambiguous intentions. The trade-off is that the inference phase adds 1-3 seconds of processing latency, and the unpredictability of the LLM output requires Guardrails to cover it.

Knowledge Retrieval Enhancement (RAG) link: Botpress's Knowledge Base uses vector storage + keyword hybrid retrieval to support document-level permission isolation. The retrieval link is: user question → Embedding vectorization → vector library TOP-K recall → LLM combines the recalled content to generate answers. In the actual test scenario, the accuracy of answering FAQ questions with clear structure is high, but the recall rate of mixed multi-lingual PDFs (scans, table images) with chaotic layout will decrease significantly.

Multiple LLM strategies: Botpress allows you to mix different LLMs in the same workflow - for example, GPT-4o for complex inference, Claude Haiku for simple FAQs, and local models for sensitive data. This "cost-capability" gradient configuration can reduce overall inference costs by 40-60% (inference value, depending on model spread and call distribution).

Enterprise-grade infrastructure: The bottom layer is built on AWS, automatically scaling to cope with peak traffic, and with zero maintenance. SOC II Certified GDPR Compliant KPMG Penetration Tested and supports HIPAA BAA (Enterprise Plan). Data storage supports custom retention policies and regional preferences.

Security and Ultra-Authority Governance: Agent's irreversible operations (refund, account deletion, payment modification) are subject to Guardrails - a confirmation node or manual approval is required. The platform provides enterprise-level control methods such as RBAC, audit logs, and trusted domain name restrictions.

Engineering Pitfall Guide (common risks based on the Agent platform):

1. Autonomous Engine endless loops and token explosion: When LLM repeatedly makes decisions in the tool call link without convergence, a large amount of redundant token consumption may occur. It is recommended to limit the inference depth of a single Agent session by setting max_steps (maximum number of inference steps), timeout threshold, and repeated action detection. In Botpress Studio, Exit Conditions can be configured in Autonomous Node to break invalid loops.
2. Context Overload: Long conversations or large file knowledge bases may cause the Agent context window to exceed the limit. It is recommended to use strategies such as segmented summarization and visible area extraction to control the input length in the Knowledge Base instead of cramming the complete document at once.
3. Safety Confirmation Point: For irreversible operations such as refunds and account changes, be sure to insert a manual confirmation node (Escalate to Desk) in the Playbook. Botpress's Guardrails function is designed under this scenario - it is recommended to verify the effectiveness of Guardrails in the Sandbox environment before going online.

How to use Botpress

Botpress provides three access paths, suitable for different scenarios:

Access method	Applicable scenarios	Start-up cost	Features
Botpress Cloud (Web)	Quick verification, customer service for small and medium-sized enterprises	Starting at $0	Fully managed, free of operation and maintenance, including Desk + Studio + Hub
Botpress CLI/SDK	Developer customization Integration	Free	npm install -g @botpress/cli, bp init created
Self-hosted v12	Extremely strict data sovereignty requirements	Infrastructure costs	Stopped mainline updates, lack of new Cloud features

Quick Start Steps (Cloud Version):

1. Visit https://sso.botpress.cloud/registration to register an account and automatically enter the Free plan.
2. Describe your Agent goal through Prompt in Botpress Studio (such as "Create an e-commerce customer service Agent that supports order status query and return and exchange application"), and the Autonomous Engine automatically generates the dialogue flow skeleton.
3. Add knowledge sources in Knowledge Base - you can upload FAQ documents, crawl the official website help center, or connect product data in Tables.
4. Select the required Channels (Webchat, WhatsApp, Slack, etc.) in the Hub and complete the OAuth authorization.
5. Use the built-in simulator to test the dialogue, verify the accuracy of the Agent's answers and upgrade logic, and publish after confirmation.
6. (Optional) Connect Zendesk/Intercom as the backend Helpdesk, or use Botpress Desk directly as the main ticket system.

Developer Integration: Custom Integration can be created through @botpress/cli (bp init → edit integration.definition.ts → bp deploy publish to workspace). Integration supports TypeScript type-safe development and can be set to public for community use.

Product Pricing for Botpress

Botpress's pricing strategy can be summarized as "consumption by conversation, no limit on the number of seats." All plans include AI usage (LLM inference Embedding, Web Search), and there is no need to purchase additional API quotas.

Pricing plan details

Plan	Monthly fee (annual payment)	Contains conversation volume	Number of agents	AI Agents	Key features	Overage fees
Free	$0	100/month	3	3	Desk + Studio, Webchat, Community Support	No overage supported
Plus	$150/month	250/month	3	Unlimited	+ WhatsApp, White Label, Custom Help Center, Online Support	$65/100 Chat
Team	$750/month	1,500/month	No limit	No limit	+ RBAC, routing, team analysis, real-time collaboration	$50/100 Conversation
Enterprise	Custom	Custom	Unlimited	Unlimited	+ SLA, SSO, HIPAA, Voice, Dedicated Support	Custom

Storage quota

Resource Type	Free	Plus	Team	Enterprise
Table rows	1K	100K	500K	Custom
Vector Storage	100MB	1GB	5GB	Custom
File Storage	100MB	10GB	50GB	Custom
Storage expansion	Not available	$40/month (+100K rows + 1GB vector + 10GB file)	$40/month	Customization

Conversation Billing Rules:

• A "conversation" is defined as an interaction containing at least 2 messages within a billing month, and both AI and human-assisted sessions are counted.
• Notification reminders will be triggered when reaching 80% and 90% of the quota, and 100 conversation packs will be automatically purchased after the quota is exceeded.
• Unused conversation packs expire monthly and are not accumulated.
• Automatic recharge cannot be turned off - the official explanation is that "AI usage has been packaged into the conversation, and pausing the conversation is equivalent to pausing the product."

Hidden Cost Tip:

• Conversation quotas are shared by workspace rather than by Agent or channel. When deploying multiple Agents, it is necessary to evaluate whether the total conversation volume matches the selected solution.
• The overage unit prices of the Plus and Team plans are quite different ($0.65 vs $0.50/conversation). It is recommended that teams with large fluctuations in conversation volume directly choose Team to obtain a lower overage rate.
• The price terms of the enterprise plan need to be confirmed by contacting sales, and there is no public reference range.

Botpress application scenarios

The core value positioning of Botpress is "AI customer service infrastructure for processing complex work orders". The following three types of scenarios can best utilize its advantages:

• E-commerce and retail customer service automation: The core pain point of the e-commerce scenario is the large amount of repeated inquiries (order status, return and exchange policies, logistics tracking) and the need to correlate real-time data. Botpress uses Tables to store order data, Knowledge Base, index returns and exchange policies, and Autonomous Engine to perform three-layer linkage of the refund process, which can increase the automatic resolution rate of L1 work orders from the industry average of 30-40% to 60-75% (refer to the 75% resolution rate of the HOSTIFAI case). Key points of verification: Refund operations must go through the Guardrails confirmation node to prevent misoperations.
• SaaS Enterprise Customer Success and Technical Support: SaaS companies with multiple product lines and multiple packages usually face the challenges of "large amount of customer service knowledge and long agent training cycle". Botpress can import the product documentation API reference and known fault library into the Knowledge Base, allowing the Agent to quote the latest documentation in the conversation for answers. For complex work orders that require backend operations (such as modifying subscription plans and exporting data), the Agent can call the product API through Integration to execute. EXTENDLY's 30% call reduction case is a typical validation of the SaaS scenario. Key points to verify: API call permission scope and audit log integrity.
• Financial and insurance industry compliance customer service: Financial scenarios have extremely high requirements for data privacy and compliance (SOC II, HIPAA, GDPR). Botpress's data residency policy RBAC permission model and audit logs meet most compliance requirements. When Agent handles scenarios such as policy inquiry, claim settlement progress, and bill disputes, Knowledge Base can index the product terms library, and Tables store customer policy snapshots. As one of the customer logos, American Express indirectly verifies its feasibility in financial scenarios. Key points for verification: The enterprise plan needs to confirm the BAA (Business Cooperation Agreement) signing process and data isolation mechanism.

Not suitable for scenarios:

• Scenarios that require in-depth long article writing and creative content production (Botpress is not a content generation tool).
• Scenarios that only require a one-time FAQ robot and no ongoing maintenance requirements (the value of the platform’s learning curve cannot be reflected).
• Niche businesses with extremely low conversation volume (<50/month) (the 100 quota of the Free plan is sufficient, but the platform capacity may be overloaded).
• Real-time interaction scenarios that are latency-sensitive and require millisecond-level response (the 1-3 second delay introduced by LLM inference is unacceptable).

Applicable groups of Botpress

• Customer Service Team and Support Operations: You can directly use Botpress Desk’s work order management functions and AI Agent capabilities without the need for development team intervention. Playbooks can be created and iterated through natural language descriptions to continuously optimize the automatic solution rate. Tickets that are not satisfied with the Agent's answers can be transferred to manual work with one click and come with full context. Prerequisites: The team needs to sort out the standard operating procedures (SOPs) and convert them into Playbook logic. Otherwise, the agent's behavioral boundaries are unclear and the upgrade rate will be high.
• Developers and System Integration Engineers: Develop custom Integration through @botpress/cli and SDK to connect Botpress with internal systems (CRM, ERP, work order system). You can write custom Code nodes to handle edge logic, or dynamically manage Knowledge Base content through APIs. Not suitable for boundaries: If the team does not have TypeScript development capabilities, the development of custom Integration will be limited; at this time, priority should be given to using the existing Integration in Botpress Hub, or contact the official Managed service.
• Product Managers & Automation Leads: Botpress’s Visual Studio enables non-technical people to design conversation flows. Product managers can adjust Prompt, modify Playbook, and test Agent behavior directly in Studio, shortening the "demand → go online" cycle. Prerequisites: Basic product logical thinking and a basic understanding of the boundaries of LLM capabilities are required, otherwise a process that cannot be executed by the Agent may be designed.
• Small and medium-sized business owners and entrepreneurs: For $150/month (Plus plan), you can get a customer service system with unlimited AI Agents, full-featured Helpdesk, and multi-channel support. Compared to hiring a full-time customer service agent (monthly salary $2,000+), the cost advantage is significant. Unsuitable Boundary: If the company is in a very early stage (daily inquiries <5), the Free plan is sufficient, and the ROI of paid upgrades is not obvious.
• Large enterprise IT and compliance teams: The Enterprise plan provides SSO, SLA, audit logs, custom data residence HIPAA BAA and other capabilities to meet

Compliance requirements for financial, medical, government and other industries. Prerequisites: Requires completion of vendor security assessment (KPMG penetration testing report expedites this process) and confirmation of data processing terms with sales.

Summary and Outlook of Botpress

Core Competencies: The core moat of Botpress lies in the two-layer architecture of "AI-Native Helpdesk + autonomous reasoning engine" - it does not add an AI plug-in to the traditional Helpdesk, but rebuilds the work order processing link from the bottom with AI as the core. The unlimited seat pricing model, significant price difference with Zendesk/Intercom, and SOC II/GDPR/HIPAA triple compliance certification give it a clear differentiated positioning in enterprise procurement evaluation. The community accumulation of 750k+ AI Agents and 31k+ Discord members also provide the foundation for its ecological moat.

Current limitations: First, the accuracy of Chinese NLU and knowledge base retrieval is still lower than that of English, and complex semantic understanding in the Chinese context may be biased; second, the predictability of the Agent's behavior is affected by the underlying LLM - after the model is upgraded or switched, the output style of the existing Playbook may cause uncontrollable drift; third, the degree of customization of the Cloud version is constrained by the upper limit of the platform's capabilities, and extreme customization requirements (such as deep modification of the Desk UI) cannot be achieved; fourth, self-hosted v12 and the new Cloud The functional gaps between platforms are getting bigger and bigger, and for companies that "must deploy privately", the choice space is shrinking.

Procurement and Adoption Risk Assessment:

• Pilot Suggestion: Use the Free plan to conduct small-scale testing on 1-2 highly repetitive, low-risk work order types (such as password reset, order inquiry), verify the Agent's automatic resolution rate and user satisfaction, and compare it with the existing Helpdesk baseline. The pilot period lasts at least 2-4 weeks and covers different speech variations and edge cases.
• Extended conditions: When the automatic resolution rate is stably higher than 50% and user feedback does not degrade, medium-risk Playbooks such as refunds and order changes can be gradually accessed. At this time, the Guardrails confirmation node must be configured and the audit log must be turned on. Also evaluate actual conversation consumption and overage charges for Plus or Team plans.
• Key terms that need to be verified before enterprise purchase: SLA response time of the Enterprise plan, data residence area and migration cost, HIPAA BAA signing process, data export format after contract termination, and whether periodic AI usage continues to be packaged in the conversation quota (or billing may be split in the future).

Botpress represents the customer service industry's shift from the pricing model of "number of seats × workstation fee" to "AI processing volume × conversation fee". This change is particularly attractive in the European and American markets where seat wages are expensive. For Chinese overseas businesses or teams serving English-speaking markets, Botpress's price/performance and compliance coverage make it a strong contender among Zendesk/Intercom alternatives.

Related tools: deepseek, chatgpt

Version Info

• Botpress v12 ：Deeply integrate large model dialogue nodes, improve the NLU engine, and enhance enterprise-level auditing and permission management. （~2026-04）
• Botpress v11 ：Reconstruct the UI interface, introduce a dialogue analysis dashboard, and support custom Code nodes. （~2025-03）