- San Francisco
-
01:44
(UTC -07:00) - linkedin.com/in/joancabezas/
- @josancamon19
- https://joan.so
Highlights
- Pro
Stars
Scale computer-use 2.0 with open-source drivers, cross-OS fleets, and benchmarks for training, evaluation, and data generation.
The memory your AI should have had from the start. Automatic capture, automatic recall, 100% local. One SQLite file, zero cloud. Works with Claude Code, Claude CLI, Cursor, Codex CLI, Gemini CLI.
The retrieval layer for production AI systems. Lightning-fast (<10ms) search without vector databases. Built for browser, edge, on-device, and cloud.
Drive OSS standards and tools for data curation and evaluation creation for state of the art AI agents
Measuring and evolving with the frontier of agent work
Framework for evaluating and improving agents
one page guides that i let my subscribed/customised agents consume to perform actions
An AI-powered research assistant that performs iterative, deep research on any topic by combining search engines, web scraping, and large language models. The goal of this repo is to provide the siβ¦
[NeurIPS '25] Knowledge Graph Generation from Any Text
Genome modeling and design across all domains of life
Build LLM-powered Dart/Flutter applications.
Open-source framework for exporting your personal data.
AI that sees your screen, listens to your conversations and tells you what to do