π OpenSearch-VL provides a fully open recipe for training strong multimodal deep search agents through high-quality data curation, diverse visual/search tools, and fatal-aware agentic reinforcement learning.
SearchEyes: Towards Frontier Multimodal Deep Search Intelligence via Search World Simulation. A typed knowledge graph unifies data synthesis (PKC), environment simulation, and RL training (HaPO) for multi-hop visual search agents. SearchEyes-27B achieves SOTA among open-source multimodal search agents on 6 benchmarks.
Official data.gouv.fr Model Context Protocol (MCP) server that allows AI chatbots to search, explore, and analyze datasets from the French national Open Data platform, directly through conversation.
**Deep memory for agents over large datasets.** Leviathan is a single static binary that turns your records (JSONL, JSON, CSV/TSV, SQLite, or anything a database CLI can export) into a ranked full-text index.