(no title)
nickwatson | 10 months ago
I built *cleverb.ee* to solve my own research pain: too many tabs, too much messy sourcing. Gemini and OpenAI deep research tools weren't getting the balanced/unbiased quality I desired.
*What it does*: • Reads webpages, PDFs, Reddit posts, PubMed abstracts, YouTube transcripts. • Plans with Gemini 2.5 Pro, acts with Gemini 2.5 Flash, summarises with Gemini 2.0 Flash (or you can use any Local LLM or Claude) • Outputs a fact-checked, cited Markdown report with live token usage tracking.
*Tech*: Python + Playwright + LangChain with MCP tool support. AGPL-3.0 licensed.
*Why open source?*: I wanted full transparency at every agent step and easy pluggable data sources.
Quick install:
```bash git clone https://github.com/SureScaleAI/cleverbee cd cleverbee && bash setup.sh
Would love feedback — especially what critical research sources you’d want integrated next!
kleiba|10 months ago
Could you elaborate, please?
nickwatson|10 months ago
I wanted something more - collect-evaluate-decide loop to iterate through discoveries and actively seek out diverse sources.
Quanttek|10 months ago
nickwatson|10 months ago
Most the time it has only sought out one or two post/youtube videos as it can recognize the low credibility value.
It comes loaded with a PubMed MCP tool and the beauty of it being open source is you can exclude or limit the sources as much as you want, or add in new sources - that's why I wanted to open it up, to allow for critique over methodologies and allow for improved, balanced research from experts.
It is also requested to evaluate the source and whether or not they have "some benefit to gain" from the article, to ensure it balances this into the research, also.