STORM - An LLM-powered knowledge curation system that researches a topic and generates a full-length report with citations.
Open source
24 alternativesBlockAGI
BlockAGI provides a self hosted research agent inspired by AutoGPT for exploring topics.
About BlockAGI
BlockAGI is an open-source, self-hosted research agent written in Python 3 with LangChain and OpenAI. It conducts iterative, domain-specific research, searching, gathering, refining and evaluating information on its own, and produces detailed narrative reports. Progress is shown in real time through a web interface that displays the agent's decision-making, execution steps and latest results.
It was initially designed for cryptocurrency topics but is customizable to other domains and can pull live data from the internet or your own database. Setup requires Poetry and Playwright, plus an OpenAI API key configured in a .env file. The project states it has been tested to work well with gpt-3.5-turbo-16k for most research tasks. Reports are described as staying with the user and the chosen LLM provider, so research content is sent to that external provider.
Key features
- Iterative, domain-specific research agent producing detailed narrative reports
- Real-time web interface showing agent decisions, execution progress and latest results
- Searches, gathers, refines and evaluates information on its own
- Accesses real-time data from the internet or your own database
- Customizable research domain beyond the original cryptocurrency focus
- Concise, hackable Python/LangChain code; no external vector datastore required
Best for: Developers and technically inclined researchers who want a self-hosted, modifiable agent for topic research using their own OpenAI API key.
Good for
- Open-source code built on LangChain that is described as concise and easy to modify
- No Docker, sandboxing or external vector datastore needed, simplifying setup
- Stated to work well with gpt-3.5-turbo-16k, which is cheaper than gpt-4 on most research tasks
Watch out for
- Requires an OpenAI API key, and research content is shared with that LLM provider
- Installation involves Poetry, Playwright and manual .env configuration
- Focused only on research topics rather than general task automation
BlockAGI at a glance
- Category
- AI & Machine Learning › AI Search & Research
- Type
- Open-source project
- Pricing
- Not confirmed. Check the site
- Open source
- Yes · Source code
- Language
- English
- Last checked
- Oct 6, 2026 · Online when checked
- Listed
- Oct 5, 2026
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BlockAGI FAQ
What is needed to run BlockAGI?
Install Poetry and the project dependencies, then run 'poetry run playwright install'. Copy .env.example to .env, add an OpenAI API key, and start it with 'poetry run python main.py', which also launches the web interface.
Does it need Docker or an external vector database?
No. The project states it does not require file reading or writing, so no Docker or sandboxing is needed, and it does not need an external vector datastore.
Which research topics and models does it support?
It was initially designed for cryptocurrency research but the domain is customizable, and it has been used for other topics. It uses LangChain and OpenAI, and has been tested to work well with gpt-3.5-turbo-16k.
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