📺 screenpipe #16 | company knowledge base, capture repetitive workflows
screenpipe #016
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hey louis & matt here
btw, in this newsletter, we share new features, bug fixes, work in progress, and what's next.
📁 b2b use cases
turns out that businesses need screenpipe. we had a busy week delivering a custom integration to our b2b customer and talking to a few other companies that reached out to us. what are the use cases?
- keep track of internal communication: store data on employee computers and on a central server
- overlap data across the team to create a knowledge base: a passive way to capture everything happening within the company and map it over internal tools like CRM systems, knowledge graphs, wikis, documentation, contact lists
- capture how the work is done, identify critical repetitive workflows within the company to reduce duplicate efforts and enable automation
these use cases target significant savings for companies. teams can spend less time coordinating tasks, employees don't have to manually fill out CRM systems and daily logs, time saved because of easily accessible information, deduplication of effort leads to at least 10% of saved costs across the headcount.
🧠 obsidian pipe
r/ObsidianMD - llama3.2 write logs of your days in an Obsidian table
🔮 vision
as AI models advance at reasoning and multi-modal capabilities, we see a growing need for desktop-native LLM applications. practically any work performed on the desktop can be performed by LLM. But only if it has relevant context.
screenpipe is the missing layer in the AI LLM stack to provide this context. it's an infra layer to feed desktop activity to LLM context window creating a memory bank.
we aim to become a go-to backend for your desktop LLM workflows, an API to the desktop, a knowledge base, a platform to deploy and supervise AI agents.
🤔 other things
- speaker identification, a long-awaited feature to structure audio transcription by a speaker, being rolled out in the next screenpipe release
- brew install screenpipe is here!
- improved ui traversal, it now runs 3 times faster
🔜 coming soon
- new playground to test search and API requests on sample data
- structured data output, memories
🙏 ask
hey, your feedback and support are super valuable to us, hit the reply button and tell us what you'd like to see in screenpipe.
like screenpipe? mention it online, it would help us grow! 🚀
you can tag screen_pipe on x and we will retweet you ❤️
- the app is still in alpha and we've fixed tons of bugs, however, we're releasing daily updates to fix them, along with new features. we're a two-person team, but we have open source contributors, and we would be happy to welcome more of them! ☺️🙏
links
take care,
screenpipe
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