Botpress vs Composio
Which should you use? A side-by-side look at what each one does, who it suits, what it costs, how hard it is to set up, and where each falls short.
Open source · MIT
Open-source tools to build and deploy chatbots and LLM agents, centred on Botpress Cloud.
Open source · MIT
SDK for building AI agents that can take actions in 1000+ apps via pre-authenticated tools.
The short answer
Choose Botpress if you need…
- Developers who want to write integrations and bots as TypeScript code using the Botpress CLI and SDK
- Teams already using Botpress Cloud who want to publish or deploy their own integrations
- Developers who want to read example bots built only with the SDK and CLI
Choose Composio if you need…
- Developers building AI agents that need to read or act in third-party apps
- Teams already using a supported agent framework such as OpenAI Agents, LangChain, or Vercel AI SDK
- Projects that want per-user scoping of app connections
- Developers who want to expose tools to MCP clients like Claude or Cursor
Side-by-side
| Botpress | Composio | |
|---|---|---|
| Type | Dev tool | Dev tool |
| Price | Free and open source | Free and open source |
| Licence | MIT | MIT |
| GitHub stars | 15k | 30.9k |
| Setup difficulty | Intermediate | Intermediate |
| How you get it | Install with a package manager | Install with a package manager |
| Main language | TypeScript | TypeScript |
| Last code update | 7 days ago | 4 days ago |
What each one is
Botpress
This repository holds the open-source parts of Botpress Cloud: integrations, developer tools (a CLI, an SDK and an API client), and some example bots written as code. Botpress is described as a platform for building chatbots and assistants powered by OpenAI. The README says the visual Botpress Studio is the recommended way to build bots, and the code-based approach is mainly for experienced developers.
Composio
Composio is a TypeScript and Python SDK, plus a command-line tool, that lets AI agents use external apps on a user's behalf. It provides pre-authenticated toolkits for over 1000 apps, per-user sessions, authentication, triggers, and a sandbox. Developers use it to connect an agent framework to real services such as email.
Best for
Botpress
- Developers who want to write integrations and bots as TypeScript code using the Botpress CLI and SDK
- Teams already using Botpress Cloud who want to publish or deploy their own integrations
- Developers who want to read example bots built only with the SDK and CLI
Composio
- Developers building AI agents that need to read or act in third-party apps
- Teams already using a supported agent framework such as OpenAI Agents, LangChain, or Vercel AI SDK
- Projects that want per-user scoping of app connections
- Developers who want to expose tools to MCP clients like Claude or Cursor
Strengths
Botpress
- Released under the MIT license, so the code can be reused and modified freely
- Uses TypeScript and a typed SDK and API client, which helps catch errors early
- Includes a CLI for the full integration workflow: create, deploy and publish
Composio
- Broad coverage: the README lists 1000+ toolkits and many provider adapters for common agent frameworks
- Sessions load meta tools at runtime instead of hundreds of tool definitions, per the README
- Available in both TypeScript and Python with an MIT license
Not ideal for
Botpress
- Non-programmers who want a no-code chatbot builder: the README says the Studio is recommended over building bots as code
- People looking for the on-premise Botpress v12 product: the README sends those users to a separate v12 repository
- Anyone needing a self-contained local chatbot: the README focuses on Botpress Cloud workflows and does not describe a standalone self-hosted setup
Composio
- Non-developers looking for a finished end-user app, since the README describes an SDK and CLI
- People who need a fully self-hosted setup, because the README's quickstart relies on a Composio API key and dashboard
- Projects needing a framework the README does not list as supported, which would require writing a custom provider
Trade-offs
Botpress
- The README marks plugins as coming soon, so that part is not yet available
- Code-first bot building is described by the authors as not the recommended route for most users
- Setup and terminology depend on the Botpress Cloud service, so the project is tied to that platform
Composio
- Depends on a Composio account and API key for the quickstart, so you rely on a hosted service
- The README is truncated and gives limited detail on sandbox, triggers, and pricing
- Some providers are experimental, such as the Pi provider in @composio/experimental
Getting started
Botpress
Install the Botpress CLI (npm)
npm install -g @botpress/cliCreate a new integration
bp initComposio
Install TypeScript SDK with OpenAI Agents provider
npm install @composio/core @composio/openai-agents @openai/agentsInstall Python SDK with OpenAI Agents provider
pip install composio composio-openai-agents openai-agentsFrequently asked questions
What is the difference between Botpress and Composio?
Botpress: Open-source tools to build and deploy chatbots and LLM agents, centred on Botpress Cloud. Composio: SDK for building AI agents that can take actions in 1000+ apps via pre-authenticated tools. Botpress suits developers who want to write integrations and bots as typescript code using the botpress cli and sdk, while Composio suits developers building ai agents that need to read or act in third-party apps.
Are Botpress and Composio free?
Botpress: Free and open source. Composio: Free and open source.
Is Botpress or Composio more popular?
Composio has more GitHub stars (30.9k) than Botpress (15k). Popularity isn't the same as fit — check which one matches your use case above.
What are other alternatives to Botpress and Composio?
Other options people compare them with include LangChain, Prompt flow, Portkey AI Gateway, claude-context, Desktop Commander.
Keep comparing
Built from our catalogue entries for both products: open-source details come from each project's README (AI-assisted, refreshed weekly) and GitHub data; AI-tool details are editorial. Spotted something wrong? Let us know from either product's page.