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botpress vs rags

botpress (The open-source hub to build & deploy GPT/LLM Agents) vs rags (Build ChatGPT over your data using natural language with RAGs) - live GitHub stats and typed graph relationships, not marketing.

Markdown twin · botpress alternatives · rags alternatives

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botpress

botpress/botpress

★ 15kpushed Jul 7, 2026

rags

run-llama/rags

★ 6.5kpushed Apr 5, 2024

Tagline

botpress: The open-source hub to build & deploy GPT/LLM Agents
rags: Build ChatGPT over your data using natural language with RAGs

Stars

botpress: 15k
rags: 6.5k

Forks

botpress: 2.3k
rags: 660

Open issues

botpress: 21
rags: 38

Language

botpress: TypeScript
rags: Python

Adopt for

botpress: Botpress is an open-source platform for developing GPT and LLM-powered chatbots and conversational assistants, featuring robust integrations, developer tools, bot examples, and plugins.
rags: RAGs is a Python-based Streamlit app designed to build Retriever-Augmented Generation pipelines using natural language instructions and configurations.

Persona

botpress: -
rags: -

Runtime

botpress: -
rags: -

License

botpress: MIT
rags: MIT

Last pushed

botpress: Jul 7, 2026
rags: Apr 5, 2024

	botpress	rags
Tagline	The open-source hub to build & deploy GPT/LLM Agents	Build ChatGPT over your data using natural language with RAGs
Stars	15k	6.5k
Forks	2.3k	660
Open issues	21	38
Language	TypeScript	Python
Adopt for	Botpress is an open-source platform for developing GPT and LLM-powered chatbots and conversational assistants, featuring robust integrations, developer tools, bot examples, and plugins.	RAGs is a Python-based Streamlit app designed to build Retriever-Augmented Generation pipelines using natural language instructions and configurations.
Persona	-	-
Runtime	-	-
License	MIT	MIT
Last pushed	Jul 7, 2026	Apr 5, 2024
Categories	AI Agents, Developer Tools	AI Agents, Data & Retrieval
Trust and health
Maintenance	Very active (96%)	Dormant (18%)
Days since push	0d	824d
Open issues (now)	21	38
Security scan	No lockfile	39 low (39 low)
Full report	Trust report	Trust report
Typed relationship	botpress alternative ragsBoth RAGs and botpress are focused on the development of chatbots and agents, including those powered by GPT/LLMs.

Choose botpress if…

botpress is primarily TypeScript; rags is Python.
Both RAGs and botpress are focused on the development of chatbots and agents, including those powered by GPT/LLMs.
Tags unique to botpress: botpress, ai, nlp, chatgpt.
Also covers Developer Tools.
When you need a flexible platform to quickly develop advanced AI agents using OpenAI's models.

When NOT to use botpress

Avoid choosing Botpress when your use case does not need or cannot justify the investment in OpenAI-based models like GPT-4.
If your chatbot requirements fit better within simpler rule-based systems, consider more basic chatbot development frameworks instead.
Do not opt for this solution if you prefer proprietary developer tools over open-source alternatives.

GitHub Details

Choose rags if…

rags is primarily Python; botpress is TypeScript.
Pricing: RAGs is open-source under MIT license. Costs arise from any third-party API usage such as OpenAI and are not covered by RAGs itself..
Requirements: Min 4 GB RAM; RAGs requires an internet connection to interact with external APIs like OpenAI.; Ensure you configure your environment with the necessary API keys and secrets as per the installation guide..
Both RAGs and botpress are focused on the development of chatbots and agents, including those powered by GPT/LLMs.
Tags unique to rags: streamlit, rag.
Also covers Data & Retrieval.
Use RAGs if you want an interactive way to configure and query your data with simple textual instructions through an intuitive UI in a Streamlit app.

When NOT to use rags

Avoid RAGs if you need full customization of the backend logic and don't want the constraints imposed by the Streamlit interface.
Not recommended for environments with strict security policies that forbid the use of external APIs like OpenAI, unless you have the capability to replace those services.

GitHub Details

Explore

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Common questions

What is the difference between botpress and rags?: botpress: The open-source hub to build & deploy GPT/LLM Agents. rags: Build ChatGPT over your data using natural language with RAGs. See the comparison table for live GitHub stats and shared categories.
When should I choose botpress over rags?: Choose botpress over rags when botpress is primarily TypeScript; rags is Python; Both RAGs and botpress are focused on the development of chatbots and agents, including those powered by GPT/LLMs; Tags unique to botpress: botpress, ai, nlp, chatgpt; Also covers Developer Tools; When you need a flexible platform to quickly develop advanced AI agents using OpenAI's models.
When should I choose rags over botpress?: Choose rags over botpress when rags is primarily Python; botpress is TypeScript; Pricing: RAGs is open-source under MIT license. Costs arise from any third-party API usage such as OpenAI and are not covered by RAGs itself.; Requirements: Min 4 GB RAM; RAGs requires an internet connection to interact with external APIs like OpenAI.; Ensure you configure your environment with the necessary API keys and secrets as per the installation guide.; Both RAGs and botpress are focused on the development of chatbots and agents, including those powered by GPT/LLMs; Tags unique to rags: streamlit, rag; Also covers Data & Retrieval; Use RAGs if you want an interactive way to configure and query your data with simple textual instructions through an intuitive UI in a Streamlit app.
When should I avoid botpress?: Avoid choosing Botpress when your use case does not need or cannot justify the investment in OpenAI-based models like GPT-4. If your chatbot requirements fit better within simpler rule-based systems, consider more basic chatbot development frameworks instead. Do not opt for this solution if you prefer proprietary developer tools over open-source alternatives.
When should I avoid rags?: Avoid RAGs if you need full customization of the backend logic and don't want the constraints imposed by the Streamlit interface. Not recommended for environments with strict security policies that forbid the use of external APIs like OpenAI, unless you have the capability to replace those services.
Is botpress or rags more popular on GitHub?: botpress has more GitHub stars (14,772 vs 6,546). Stars measure visibility, not whether either tool fits your constraints.
Are botpress and rags open source?: Yes - both are open-source projects on GitHub (botpress: MIT, rags: MIT).
Where can I find alternatives to botpress or rags?: GraphCanon lists graph-backed alternatives at /tools/botpress-botpress/alternatives and /tools/run-llama-rags/alternatives (/tools/botpress-botpress/alternatives.md, /tools/run-llama-rags/alternatives.md), ranked by typed relationship edges rather than popularity votes.
Is there a machine-readable version of this comparison?: Yes. The markdown twin at /compare/botpress-botpress-vs-run-llama-rags.md mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.
Which is better maintained, botpress or rags?: botpress: Very active. rags: Dormant. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance.
Where are the full trust reports for botpress and rags?: GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: botpress: /tools/botpress-botpress/trust; rags: /tools/run-llama-rags/trust.