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We built LobsterX 🦞, an OpenClaw🦞 specialized for document work on your computer. It uses high-accuracy document parsing, extraction, classification through LlamaCloud, meaning it can comb through complicated PDFs (with scans, tables, diagrams) and extract out 100% accurate context! It can run as a Telegram bot and is built...

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Jerry Liu

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27,071 görüntüleme • 4 ay önce •via X (Twitter)

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Introducing NotebookLlama - an open-source version of NotebookLM! 📓🦙 NotebookLlama is a full implementation of NotebookLM that includes all the capabilities that makes it so great for researchers+business users: ✅ Create a knowledge repository of documents. Has likely higher accuracy than NotebookLM since it’s using LlamaCloud under the hood for high-quality parsing/extraction over complex docs. ✅ Generate summaries and knowledge graph mind-maps 🤯 ✅ Generate podcasts thanks to ElevenLabs 🗣️ ✅ Agentic chat with docs and view metrics with OpenTelemetry This all lives within an open-source repo so you can clone/modify at will to swap in your own components! Huge shoutout to Clelia Bertelli (🦙/acc) for leading this. Repo: LlamaCloud helps power the parsing/ingestion. You can always use your own stuff too, but in the meantime you can check out LlamaCloud here:
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Introducing NotebookLlama - an open-source version of NotebookLM! 📓🦙 NotebookLlama is a full implementation of NotebookLM that includes all the capabilities that makes it so great for researchers+business users: ✅ Create a knowledge repository of documents. Has likely higher accuracy than NotebookLM since it’s using LlamaCloud under the hood for high-quality parsing/extraction over complex docs. ✅ Generate summaries and knowledge graph mind-maps 🤯 ✅ Generate podcasts thanks to ElevenLabs 🗣️ ✅ Agentic chat with docs and view metrics with OpenTelemetry This all lives within an open-source repo so you can clone/modify at will to swap in your own components! Huge shoutout to Clelia Bertelli (🦙/acc) for leading this. Repo: LlamaCloud helps power the parsing/ingestion. You can always use your own stuff too, but in the meantime you can check out LlamaCloud here:

Jerry Liu

137,734 görüntüleme • 11 ay önce

Introducing Document Extraction as an MCP Server ✂️📑 A huge use case for AI agents is being able to extract out items from a diverse set of complex documents in a repeatable manner - whether it’s legal contracts, invoices, financial statements, passports, and more. In this case, 🚫 prompting ChatGPT/Claude is too error-prone/not systematic. 💡We’ve created a plug-and-play MCP server around our core document extraction capabilities within LlamaCloud. 1. Build an extraction agent in LlamaCloud with a standardized schema. 2. Plug it as an MCP tool within ChatGPT/Claude. 3. For your next extraction job, get the outputs in a standardized format through the tool! Huge shoutout to Tuana and Logan Markewich for working on this - this is thanks to the latest updates to our llamacloud-mcp demo repo, which supports both extraction and retrieval as MCP tools. Repo: Sign up:
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Introducing Document Extraction as an MCP Server ✂️📑 A huge use case for AI agents is being able to extract out items from a diverse set of complex documents in a repeatable manner - whether it’s legal contracts, invoices, financial statements, passports, and more. In this case, 🚫 prompting ChatGPT/Claude is too error-prone/not systematic. 💡We’ve created a plug-and-play MCP server around our core document extraction capabilities within LlamaCloud. 1. Build an extraction agent in LlamaCloud with a standardized schema. 2. Plug it as an MCP tool within ChatGPT/Claude. 3. For your next extraction job, get the outputs in a standardized format through the tool! Huge shoutout to Tuana and Logan Markewich for working on this - this is thanks to the latest updates to our llamacloud-mcp demo repo, which supports both extraction and retrieval as MCP tools. Repo: Sign up:

Jerry Liu

57,827 görüntüleme • 11 ay önce

Peter Steinberger 🦞 OpenClaw🦞 It can also swipe for you on tinder
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Peter Steinberger 🦞 OpenClaw🦞 It can also swipe for you on tinder

Rounak Jain

15,628 görüntüleme • 4 ay önce

Introducing TinyClaw 🦞 OpenClaw in 400 LoC OpenClaw🦞 is great, but it breaks all the time. So I recreated OpenClaw🦞 with just a shell script in ~400 lines of code using Claude Code and tmux. Everything works! WhatsApp channels, heartbeat system, cron jobs, and it uses your existing Claude Code plugins and setup. It’s super stable and extremely easy to deploy compared to openclaw, just install Claude Code!
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Introducing TinyClaw 🦞 OpenClaw in 400 LoC OpenClaw🦞 is great, but it breaks all the time. So I recreated OpenClaw🦞 with just a shell script in ~400 lines of code using Claude Code and tmux. Everything works! WhatsApp channels, heartbeat system, cron jobs, and it uses your existing Claude Code plugins and setup. It’s super stable and extremely easy to deploy compared to openclaw, just install Claude Code!

jian

552,665 görüntüleme • 4 ay önce

Train your 🦞OpenClaw🦞 simply by talking to it. Meet OpenClaw-RL. Host your model on our RL server, and your LLM gets optimized automatically. Use it anywhere. Keep it private. Make it more personal every day. We have fully open sourced everything. Come in and have fun!
0:53

Train your 🦞OpenClaw🦞 simply by talking to it. Meet OpenClaw-RL. Host your model on our RL server, and your LLM gets optimized automatically. Use it anywhere. Keep it private. Make it more personal every day. We have fully open sourced everything. Come in and have fun!

Yinjie Wang

99,012 görüntüleme • 3 ay önce

introducing the easiest way to get your own OpenClaw🦞 agent. it comes with its own computer. built for normal people. takes 3 minutes. accelerate.
0:38

introducing the easiest way to get your own OpenClaw🦞 agent. it comes with its own computer. built for normal people. takes 3 minutes. accelerate.

calle

20,328 görüntüleme • 4 ay önce

I built a bot on an ESP32 that can create full projects by itself. Ask it to generate images, videos, 3D, build a website and publish it, it does everything autonomously. Powered by Claude Opus 4.6 for code, visual content generated with fal, bot powered via OpenClaw🦞 The skills to generate project with fal are here All running on a tiny M5Stack Core2.
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I built a bot on an ESP32 that can create full projects by itself. Ask it to generate images, videos, 3D, build a website and publish it, it does everything autonomously. Powered by Claude Opus 4.6 for code, visual content generated with fal, bot powered via OpenClaw🦞 The skills to generate project with fal are here All running on a tiny M5Stack Core2.

Lovis Odin

50,336 görüntüleme • 4 ay önce

You don't need OpenClaw🦞 to use moltbook. You can do it with just a prompt in 30 seconds using Tasklet (and it works on the free plan)
0:57

You don't need OpenClaw🦞 to use moltbook. You can do it with just a prompt in 30 seconds using Tasklet (and it works on the free plan)

Andrew Lee

11,502 görüntüleme • 4 ay önce

🦙 Since you loved NotebookLlaMa, our open-source, LlamaCloud-backed NotebookLM alternative, we decided to give you more features! In the latest release you can: 📊 Extract and download images and tables from your files, and interactively visualize all tabular data ✅ Chat with your document and verify immediately everything that AI is saying about it, using the new claim verification and citation finding functionality 👇 Watch the video below for a full demo of the new functionalities 👩‍💻🧑‍💻 There is also a bonus: thanks to the community effort and contribution, you can now customize the embedding model you want to use to build the LlamaCloud index, through a textualize.io CLI! ⭐ Star NotebookLlaMa on GitHub: 🦙☁️ Sign-up for LlamaCloud and test our awesome products: 📚 Learn more about LlamaCloud:
1:13

🦙 Since you loved NotebookLlaMa, our open-source, LlamaCloud-backed NotebookLM alternative, we decided to give you more features! In the latest release you can: 📊 Extract and download images and tables from your files, and interactively visualize all tabular data ✅ Chat with your document and verify immediately everything that AI is saying about it, using the new claim verification and citation finding functionality 👇 Watch the video below for a full demo of the new functionalities 👩‍💻🧑‍💻 There is also a bonus: thanks to the community effort and contribution, you can now customize the embedding model you want to use to build the LlamaCloud index, through a textualize.io CLI! ⭐ Star NotebookLlaMa on GitHub: 🦙☁️ Sign-up for LlamaCloud and test our awesome products: 📚 Learn more about LlamaCloud:

LlamaIndex 🦙

11,051 görüntüleme • 11 ay önce

We’re on a mission to parse the world’s hardest PDFs, and we’d love your help There are so many document types that introduce a million edge cases for current VLMs / OCR: handwritten forms, badly scanned/rotated pages, charts, diagrams, and more. We are running a contest right now for you to try to extract the hardest PDFs you can find. Come sign up on our agent builder, describe what you want to extract through natural language, upload your document, and show the results. If our platform doesn’t work, even better; this is great feedback for us to improve our service. Either way submit your project and we’d love to get your feedback! Check out LlamaCloud here:
0:34

We’re on a mission to parse the world’s hardest PDFs, and we’d love your help There are so many document types that introduce a million edge cases for current VLMs / OCR: handwritten forms, badly scanned/rotated pages, charts, diagrams, and more. We are running a contest right now for you to try to extract the hardest PDFs you can find. Come sign up on our agent builder, describe what you want to extract through natural language, upload your document, and show the results. If our platform doesn’t work, even better; this is great feedback for us to improve our service. Either way submit your project and we’d love to get your feedback! Check out LlamaCloud here:

Jerry Liu

21,005 görüntüleme • 3 ay önce

your agents can now get paid and spend money. create a wallet and a budget for every agent. you are now in control. ampersend is live. use or add the skill to your OpenClaw🦞
1:08

your agents can now get paid and spend money. create a wallet and a budget for every agent. you are now in control. ampersend is live. use or add the skill to your OpenClaw🦞

ampersend

76,672 görüntüleme • 2 ay önce

We found a great use case for OpenClaw🦞 running locally on a Framework Desktop with Fedora Project (@fedora@fosstodon.org)!
2:15

We found a great use case for OpenClaw🦞 running locally on a Framework Desktop with Fedora Project (@[email protected])!

Framework

44,862 görüntüleme • 3 ay önce

LlamaParse now has an official Agent Skill you can use across 40+ agents. With built-in instructions for parsing complex documents, including different formats, tables, charts, and images, your agents gain access to deeper document understanding, not just raw text extraction. 👇 Watch the demo 📖 Read the docs: 🚀 Get started with LlamaCloud:
1:02

LlamaParse now has an official Agent Skill you can use across 40+ agents. With built-in instructions for parsing complex documents, including different formats, tables, charts, and images, your agents gain access to deeper document understanding, not just raw text extraction. 👇 Watch the demo 📖 Read the docs: 🚀 Get started with LlamaCloud:

LlamaIndex 🦙

51,845 görüntüleme • 3 ay önce

Introducing LiteParse - the best model-free document parsing tool for AI agents 💫 ✅ It’s completely open-source and free. ✅ No GPU required, will process ~500 pages in 2 seconds on commodity hardware ✅ More accurate than PyPDF, PyMuPDF, Markdown. Also way more readable - see below for how we parse tables!! ✅ Supports 50+ file formats, from PDFs to Office docs to images ✅ Is designed to plug and play with Claude Code, OpenClaw, and any other AI agent with a one-line skills install. Supports native screenshotting capabilities. We spent years building up LlamaParse by orchestrating state-of-the-art VLMs over the most complex documents. Along the way we realized that you could get quite far on most docs through fast and cheap text parsing. Take a look at the video below. For really complex tables within PDFs, we output them in a spatial grid that’s both AI and human-interpretable. Any other free/light parser light PyPDF will destroy the representation of this table and output a sequential list. This is not a replacement for a VLM-based OCR tool (it requires 0 GPUs and doesn’t use models), but it is shocking how good it is to parse most documents. Huge shoutout to Logan Markewich and Clelia Bertelli (🦙/acc) for all the work here. Come check it out: Repo:
0:31

Introducing LiteParse - the best model-free document parsing tool for AI agents 💫 ✅ It’s completely open-source and free. ✅ No GPU required, will process ~500 pages in 2 seconds on commodity hardware ✅ More accurate than PyPDF, PyMuPDF, Markdown. Also way more readable - see below for how we parse tables!! ✅ Supports 50+ file formats, from PDFs to Office docs to images ✅ Is designed to plug and play with Claude Code, OpenClaw, and any other AI agent with a one-line skills install. Supports native screenshotting capabilities. We spent years building up LlamaParse by orchestrating state-of-the-art VLMs over the most complex documents. Along the way we realized that you could get quite far on most docs through fast and cheap text parsing. Take a look at the video below. For really complex tables within PDFs, we output them in a spatial grid that’s both AI and human-interpretable. Any other free/light parser light PyPDF will destroy the representation of this table and output a sequential list. This is not a replacement for a VLM-based OCR tool (it requires 0 GPUs and doesn’t use models), but it is shocking how good it is to parse most documents. Huge shoutout to Logan Markewich and Clelia Bertelli (🦙/acc) for all the work here. Come check it out: Repo:

Jerry Liu

255,997 görüntüleme • 3 ay önce

“This could have been possible six months ago.” Peter Steinberger 🦞 on what actually enabled OpenClaw🦞's success: “The models have been good for a while. It wasn’t a sudden model breakthrough.” “It required a certain amount of madness... letting a model do whatever it wants on your computer.” “I experimented with this for months. Nothing bad happened.” “If you understand the technology, it’s a calculated risk.” “And the upside is so large that it’s worth it.”
1:59

“This could have been possible six months ago.” Peter Steinberger 🦞 on what actually enabled OpenClaw🦞's success: “The models have been good for a while. It wasn’t a sudden model breakthrough.” “It required a certain amount of madness... letting a model do whatever it wants on your computer.” “I experimented with this for months. Nothing bad happened.” “If you understand the technology, it’s a calculated risk.” “And the upside is so large that it’s worth it.”

Forward Future

50,491 görüntüleme • 4 ay önce

“Chat with your PDF” still fails on ChatGPT/Claude when the doc is too complex 📉🧾 . If it’s a complicated financial report with scanned tables, you’re going to get back hallucinated values in your analysis! Check out the video 🎬 - in the first part, Claude gives back hallucinated values on the scanned tables in the equity research report. Having a proper document MCP server capable of high-accuracy parsing/indexing can help 💡. In the second part of the video I plug in LlamaCloud as an MCP tool to help with doc parsing and retrieval - it is fully able to render the scanned table in 2D format. You can set one up for yourself in 5 mins in the UI, no coding required. LlamaCloud: MCP Server:
1:17

“Chat with your PDF” still fails on ChatGPT/Claude when the doc is too complex 📉🧾 . If it’s a complicated financial report with scanned tables, you’re going to get back hallucinated values in your analysis! Check out the video 🎬 - in the first part, Claude gives back hallucinated values on the scanned tables in the equity research report. Having a proper document MCP server capable of high-accuracy parsing/indexing can help 💡. In the second part of the video I plug in LlamaCloud as an MCP tool to help with doc parsing and retrieval - it is fully able to render the scanned table in 2D format. You can set one up for yourself in 5 mins in the UI, no coding required. LlamaCloud: MCP Server:

Jerry Liu

21,369 görüntüleme • 11 ay önce

Running OpenClaw with Minimax 2.7 on atomicbot.ai We asked to recreate a legendary game — it built Flappy Bird, but with a lobster 🦞 New Open Source frontier model did this extremely well, big shoutout to MiniMax (official)
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Running OpenClaw with Minimax 2.7 on atomicbot.ai We asked to recreate a legendary game — it built Flappy Bird, but with a lobster 🦞 New Open Source frontier model did this extremely well, big shoutout to MiniMax (official)

atomicbot.ai

27,711 görüntüleme • 2 ay önce

AgentKit gives AI Agents a way to transact on GOAT. Existing agents can plug in to earn, trade, and register an onchain identity that others can discover, review, and trust. Works with OpenClaw🦞, Hermes, ClawUp, and other agent runtimes. Try it:
0:52

AgentKit gives AI Agents a way to transact on GOAT. Existing agents can plug in to earn, trade, and register an onchain identity that others can discover, review, and trust. Works with OpenClaw🦞, Hermes, ClawUp, and other agent runtimes. Try it:

GOAT Network

865,072 görüntüleme • 1 ay önce

We built a neat tool that lets you convert a directory of Powerpoint files into clean, structured markdown - that Claude Code / agent SDK / any generalized agent wrapper can easily understand. The pptx skill in Claude Code is quite basic and doesn’t have high-fidelity understanding over graphics/charts/tables. Our project Surreal Slides uses LlamaParse to convert presentations into clean structured data that you can put into a db (SurrealDB) for simple retrieval, without having to take screenshots of the data on the fly. Thanks to Clelia Bertelli (🦙/acc) for this project, check it out:
0:33

We built a neat tool that lets you convert a directory of Powerpoint files into clean, structured markdown - that Claude Code / agent SDK / any generalized agent wrapper can easily understand. The pptx skill in Claude Code is quite basic and doesn’t have high-fidelity understanding over graphics/charts/tables. Our project Surreal Slides uses LlamaParse to convert presentations into clean structured data that you can put into a db (SurrealDB) for simple retrieval, without having to take screenshots of the data on the fly. Thanks to Clelia Bertelli (🦙/acc) for this project, check it out:

Jerry Liu

39,872 görüntüleme • 3 ay önce

Talk to your OpenClaw🦞 over a “hacked” Google Home mini! 🦞 I finally updated this project w/ a configurable pipeline you can run entirely locally Code & getting started in🧵
1:36

Talk to your OpenClaw🦞 over a “hacked” Google Home mini! 🦞 I finally updated this project w/ a configurable pipeline you can run entirely locally Code & getting started in🧵

Justin Alvey

212,190 görüntüleme • 2 ay önce