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GenBI (Generative BI) for AI agents, an open-source, governed text-to-SQL through an open context layer that turns natural-language questions into trusted dashboards, charts, and SQL across 20+ data sources, such as BigQuery, Snowflake, PostgreSQL, ClickHouse, Amazon Redshift, Databricks and more.
💡 All-in-one AI framework for semantic search, LLM orchestration and language model workflows
Easy-to-use and powerful LLM and SLM library with awesome model zoo.
Semantic cache for LLMs. Fully integrated with LangChain and llama_index.
Superduper: End-to-end framework for building custom AI applications and agents.
Source-available semantic and context layer, rule engine, and semantic sidecar for agentic AI and governed analytics. Compiles declarative YAML models into optimized SQL, KPIs, and semantic context across 8 SQL dialects.
Turn CSV, Excel, and read-only databases into verified, editable business reports.
High-fidelity transcript memory for Claude Code — index every session, recall byte-identical, search, prune, compose. Local-first, stdlib-only, MCP.
Decentralized agent memory for the Lightning economy. Nostr identity, L402 payments, MCP server.
Local OpenAlex database with 284M+ works, abstracts, and semantic search