Botpress

What is Botpress

Botpress is an AI agent development and runtime platform that combines large language model (LLM) orchestration, a versioned execution runtime, and developer tools to build conversational agents and automated assistants. It targets engineering teams and product owners who need to create agents that execute deterministic logic, call external systems, and maintain long-term memory while running safely in production environments.

The platform provides visual and code-first building experiences, API endpoints for integration, and isolated, versioned runtimes so deployed agents remain durable and compatible with future platform updates. Botpress supports multiple channels and integrations so agents can be embedded in web widgets, messaging platforms, phone systems, and enterprise applications.

Botpress positions itself for use cases that require both LLM-driven natural language understanding and precise, executable actions — for example customer support automation, sales assistants, knowledge base interfaces, and internal tools that must perform operations (create tickets, update records, call APIs) rather than only reply with text.

Key compliance and operational details provided by Botpress include SOC 2 alignment and GDPR compliance; teams evaluating Botpress should review those controls directly in their security documentation for specifics about data handling and certification scopes (see their enterprise security features).

Botpress features

What does Botpress do?

Botpress coordinates LLMs, tool execution, memory, and developer code inside a single agent runtime (referred to in the platform as an inference engine). It interprets agent instructions, manages conversation state and memory, picks appropriate tools or actions, executes code in a sandbox, and returns structured responses that can be rendered on multiple channels.

The platform supports:

• Customizable instruction sets and agent identities so each agent behaves according to defined goals and policies.
• Sandboxed JavaScript execution to run deterministic logic and transform data mid-conversation.
• Structured outputs and tool-calling without brittle external prompt orchestration, which simplifies multi-step flows that require conditional logic and external API calls.
• Observability features to inspect agent decisions, logs, and executed actions for debugging and compliance.

Botpress also includes utilities for content generation, multimodal assets (images, audio transcription), and pre-built workflows so teams can accelerate common agent patterns such as routing, FAQ answering, or transactional assistants.

Botpress pricing

Botpress offers flexible pricing tailored to different business needs, from individual users and small teams to enterprise deployments. Their pricing structure typically includes monthly and annual billing options with discounts for yearly commitments, and commercial tiers that add support, enterprise features, and enhanced security controls.

• Free Plan: A no-cost entry tier aimed at experimentation and small projects; usually includes basic agent construction tools and limited usage allowances.
• Starter: Entry commercial tier for small teams that need higher usage limits and basic integrations.
• Professional: Mid-tier plan with higher limits, advanced features such as additional channel connectors, and standard support SLAs.
• Enterprise: Custom-priced plan with dedicated support, advanced security (SSO, audit logs), contractual guarantees, and on-prem or private cloud deployment options.

Because pricing and included quotas vary by region, usage profile (LLM tokens, concurrency, channels) and deployment model (cloud vs self-hosted), teams should confirm exact rates and volume discounts before buying. Check the Botpress pricing page for detailed tiers, usage quotas, and enterprise options: see the official Botpress pricing page.

Visit their official pricing page for the most current information.

How much is Botpress per month

Botpress offers competitive pricing plans designed for different team sizes. Monthly costs depend on chosen tier, usage (LLM tokens, concurrent agents), and whether you select cloud-hosted or self-hosted options; larger deployments are typically quoted with monthly or annual commitments. For exact monthly prices for your use case, consult the Botpress pricing page listed above.

How much is Botpress per year

Botpress offers competitive pricing plans with annual billing options that commonly include discounts compared to monthly payments. Annual pricing is often used by organizations that want committed usage and predictable billing; enterprise contracts can include multi-year agreements, reserved capacity, or managed deployment fees. For current annual prices and savings percentages, consult the Botpress pricing page.

How much is Botpress in general

Botpress pricing ranges from a free tier for experimentation to custom enterprise pricing for production-critical deployments. Small teams and proof-of-concept projects can often start with the Free Plan or a small paid tier, while production deployments that require high token volume, SLAs, and enterprise security will land in negotiated Professional or Enterprise contracts. Refer to the Botpress pricing page to compare tiers, usage limits, and any annual billing discounts.

What is Botpress used for

Botpress is used to build conversational agents that do more than respond with static text: agents built on Botpress can make decisions, call APIs, update database records, and maintain rich long-term memory. Typical uses include customer support automation that opens tickets and follows up, guided sales assistants that surface product information and book meetings, internal help desks for IT and HR that execute workflows, and content or knowledge agents that query and summarize large document stores.

Teams use Botpress when they need a combination of:

• LLM-driven natural language understanding and generation.
• Deterministic logic and safe code execution, enabling transactional operations.
• Versioned, isolated runtimes so agent behavior is reproducible across updates.

Botpress is also appropriate when compliance or data locality matters: their architecture supports self-hosting for organizations that must keep PII in their own environment, and enterprise features support SSO, audit logging, and other controls.

Pros and cons of Botpress

Pros:

• Strong developer tooling: sandboxes for custom JavaScript, API endpoints, and versioned runtimes let engineering teams implement complex, auditable agent behaviors.
• LLM orchestration inside the runtime reduces the need for brittle prompt engineering and separate tool-calling layers.
• Multi-channel deployment support and integrations make it realistic to run the same agent across web, messaging, and voice channels.
• Enterprise features such as SOC 2 alignment and GDPR compatibility address regulatory concerns for many organizations (see their enterprise security features).

Cons:

• Operational complexity: running production agents that execute code and call external services requires solid engineering practices for observability, testing, and security.
• Cost can scale with LLM usage and concurrency; high-volume deployments should model token and request volume carefully to estimate run costs.
• Learning curve: teams that need deep customization will invest time in understanding the runtime lifecycle, sandbox capabilities, and state management.

Practical trade-offs to consider include whether you prefer a cloud-managed experience versus self-hosting for data control, and how much internal engineering capacity you have to maintain versioned agent runtimes and sandboxed actions.

Botpress free trial

Botpress typically provides a free tier or trial access so teams can prototype agents and evaluate capabilities before committing to paid plans. The Free Plan usually includes access to the visual builder, basic channels, and limited compute/LLM usage — adequate for proofs of concept or small internal tools.

Trials are useful for testing integration workflows (for example, connecting to a CRM or ticketing system), validating observability features (logging, execution traces), and ensuring the sandboxed code model supports your required actions. If you need larger quotas for user acceptance testing, contact Botpress sales to request an evaluation license or temporary uplift in limits.

For up-to-date details on trial eligibility and what’s included on the Free Plan, consult the Botpress pricing and plans documentation: see the official Botpress pricing page.

Is Botpress free

Yes, Botpress offers a Free Plan intended for experimentation and small projects. The Free Plan typically provides basic agent building tools and limited usage allowances; production features and scale are available on paid tiers. Visit the Botpress pricing page to review current Free Plan limits and eligibility.

Botpress API

Botpress exposes RESTful API endpoints for sending messages, managing agents, and interacting with stored tables and resources. Typical API usage patterns include sending user messages to an agent webhook, creating or updating agent configuration, and querying conversation state or memory tables. The platform also supports webhook-style integrations so external systems can receive agent events or trigger actions.

Developers can embed agents in applications using the HTTP APIs shown in the platform documentation. Example use cases include:

• Sending audio or text payloads to be transcribed and processed by an agent.
• Creating or updating custom tables that agents use as structured memory or knowledge.
• Deploying and versioning agents programmatically as part of CI/CD pipelines.

A typical fetch example from public documentation shows how to post a message to a Botpress webhook and handle the JSON response. When calling the API, include authentication headers such as an API key or service token, and follow rate-limiting and input sanitation best practices to avoid injection or excessive LLM costs.

For API reference and endpoint details, consult the Botpress developer documentation and API reference on their site: see the Botpress developer resources for up-to-date endpoints and examples.

10 Botpress alternatives

Paid alternatives to Botpress

• Dialogflow — Google’s conversational AI product for building text and voice agents; integrates with Google Cloud services and supports intent-based routing and fulfillment.
• Cognigy — Enterprise conversational automation platform with a focus on contact center automation and business process integrations.
• Ada — Customer service automation focused on non-technical teams, offering workflow builders and analytics for support use cases.
• LivePerson — Conversational commerce and messaging platform with AI-powered routing and enterprise integrations geared to support and sales.
• Intercom — Customer messaging platform with automation and AI add-ons for conversational support and lead qualification.
• Zendesk — Support platform that includes answer bots and automation tightly integrated with Zendesk’s ticketing system.
• Nuance / Avaya (commercial contact center vendors) — Provide specialized conversational IVR and contact center automation with deep telephony integrations.

Open source alternatives to Botpress

• Rasa — An open-source conversational AI framework focused on NLU, dialogue management, and custom actions; popular for on-prem deployments and deep customization.
• Microsoft Bot Framework — Open-source SDK and runtime for building bots that integrate across Microsoft services and a wide range of channels.
• ChatterBot — Python library for building simple conversational models and prototypes; suitable for research and lightweight applications.
• DeepPavlov — Open-source framework for building conversational systems, question answering, and knowledge-base agents.

Each alternative has different trade-offs: paid platforms often provide managed hosting, compliance guarantees, and non-technical tooling, while open-source options emphasize control, self-hosting capability, and extensibility.

Frequently asked questions about Botpress

What is Botpress used for?

Botpress is used to build and operate AI-driven conversational agents and assistants. It combines LLM orchestration, deterministic logic, and sandboxed code execution so agents can answer questions, execute transactions, call external APIs, and maintain memory across conversations.

How does Botpress handle tool calling and external actions?

Botpress runs tool selection and action execution inside its runtime. The platform’s inference engine evaluates instructions, decides when to call a tool or run sandboxed JavaScript, and returns structured outputs so downstream systems can process results reliably.

Does Botpress support self-hosting for data control?

Yes, Botpress supports self-hosting and private cloud deployment. Organizations that require strict data locality or on-premise control can deploy Botpress runtimes in their own infrastructure and manage LLM credentials and data storage according to internal policies.

Can Botpress run code safely within an agent?

Yes, Botpress provides a sandboxed JavaScript execution environment. The sandbox is designed to limit side effects while enabling agents to perform deterministic transformations, call approved APIs, and manage state during conversations.

Is Botpress compliant with enterprise security standards?

Botpress states alignment with enterprise security controls such as SOC 2 and GDPR compliance. Teams should review the platform’s security documentation and contractual terms to confirm scope, encryption, and audit capabilities for their specific compliance needs (see Botpress’s enterprise security features).

Why choose Botpress over a simple chatbot platform?

Botpress is intended for agents that must execute complex, multi-step logic and integrate with backend systems. Where simple chatbots return static knowledge or canned responses, Botpress agents can perform real actions, maintain memory, and run versioned runtimes suitable for production environments.

When is Botpress not the right choice?

Botpress may not be ideal for teams seeking a fully managed, no-code chatbot with minimal engineering involvement. If your primary need is a simple FAQ widget with minimal integrations, a lightweight hosted solution with prebuilt support connectors could be faster to deploy and less operationally demanding.

Where can I find Botpress integrations and channel connectors?

Botpress provides built-in connectors and integration hooks for common channels and services. The platform documentation lists supported channels (web widget, messaging platforms, voice) and examples for integrating with CRMs, ticketing systems, and storage backends in the developer docs.

How much does Botpress cost to run at scale?

Botpress costs vary by usage and deployment model and typically include LLM token consumption, runtime compute, and support fees. Large-scale deployments should model token usage, concurrent session needs, and any third-party LLM costs to estimate total operating expense; consult the Botpress pricing page for volume and enterprise options.

Is there a community for Botpress users?

Yes, Botpress maintains an active community with forums and developer resources. The community is a useful place to find example agents, reusable actions, and peer support when building integrations or troubleshooting runtime behavior.

Botpress careers

Botpress maintains a public careers page where they list open engineering, product, and customer-facing roles. Positions commonly reflect the company’s focus on distributed systems, LLM orchestration, and developer tooling, so expect job descriptions to call for experience with cloud infrastructure, API design, and AI/ML integrations. See their careers page to review current openings and application details: the Botpress careers page.

Larger organizations evaluating Botpress often want to know about vendor stability and hiring practices; Botpress’s hiring signals, funding updates, and public roadmap items can provide context for long-term viability when choosing a platform for production agents.

Botpress affiliate

Botpress runs partner and integration programs to support systems integrators, consulting firms, and ISVs that implement agents for customers. Partner programs typically include technical onboarding, joint go-to-market resources, and options for referral or reseller arrangements. For details on partnership tiers and how to apply, consult the Botpress partners page: see the Botpress partners and integrations page.

Where to find Botpress reviews

Independent reviews and user feedback for Botpress are available on third-party review sites and community forums. To compare reported user satisfaction, feature notes, and use-case fit, consult user review pages such as the G2 Botpress reviews page and the Capterra Botpress listing. These sources complement technical documentation by showing implementation experiences, common issues, and customer-reported strengths.

Botpress API

Botpress exposes REST endpoints for message ingestion, agent management, and resource operations; example client workflows include posting audio or text payloads to a webhook, managing tables and structured memory via the API, and deploying agents programmatically. The platform documentation contains endpoint references and sample payloads for common operations.

Developers should protect API keys, implement retry and error-handling logic for transient LLM provider failures, and instrument calls with tracing to link agent decisions to downstream system events. For full API reference, authentication patterns, and rate-limiting policies, consult the Botpress developer documentation: see the Botpress developer resources.

10 Botpress alternatives

(See the Paid and Open source subsections above for organized alternatives and descriptions.)