LlamaParse is officially a verified connector on Claude! 🦙 Claude is perfectly fine for the occasional text-only PDF. But most of the context your agent needs lives in messy PDFs, spreadsheets, scanned forms, dense tables, and charts. Feeding those docs straight to the model burns through tokens and can lead to hallucinations when layouts get scrambled, chart values are missed, or numbers are pulled from the wrong column. LlamaParse converts those documents into clean, structured context Claude can work with. With the connector you can ✅️ Parse documents into clean Markdown, JSON, or HTML ✅️ Extract specific fields directly into your schema ✅️ Search across document collections with filesystem-style tools ✅️ Classify documents or split them into predefined sections Live in the Claude Connectors Directory now !

LlamaAI just took a step towards being your personal analyst. Now featuring pptx, docx, and xlsx exports. Create decks, Excel models, and reports from the full set of onchain data.

llama's $PONS revenue now includes the token leg. before only the ETH leg was counted my terminal included i.e. jul 26: llama $387k vs my $166k, ~2.3x. that gap is likely the token leg it was always there just hard to price so no dashboard counted it. when v2 lands those fees get expressed in ETH -> the on-chain numbers should jump too fwiw this is what folks are bullish on from fee revision perspective. hope this helps

Llamalend v2 is coming to Ethereum. It brings lending closer to Curve liquidity, with isolated markets, flexible asset pairings and support for Curve LP tokens as collateral. The first markets will roll out gradually through Curve governance.

LlamaLend V2 is live on @Optimism. New markets are open, with OP rewards for eligible positions distributed by @merkl_xyz. Borrow, lend, or loop through isolated markets powered by Curve’s LLAMMA. Only on Curve — the home of stablecoins.

llama.cpp adds MTP for the Qwen3.6 family This is a significant milestone for the local AI ecosystem. The performance jump with these changes is massive and elevates local inference on commodity hardware further. Special thanks to Aman Gupta for leading this development!