Deasy Labs SDK

Deasy Labs is an enterprise platform for curating unstructured organizational data for AI applications. It connects to sources such as SharePoint and S3, OCRs, parses, and chunks files, then builds taxonomies, applies metadata, detects sensitive information, and evaluates file quality and relevance for a stated use case. Users can create data slices by topic, time, quality, relevance, or sensitivity and deliver them to RAG pipelines, search systems, and AI agents, while writing metadata back to source systems. Deasy continuously monitors connected sources, enriches new content, and refreshes datasets to reduce the effects of stale, duplicated, conflicting, irrelevant, or sensitive files. The platform provides APIs and a Python SDK, supports deployment in a customer's own environment, and allows use of customer-provided models and LLM endpoints. The company was acquired by Collibra, according to the video description.

DatologyAI is a data curation service for AI model builders. It processes proprietary enterprise data, public web data, and licensed data for pre-training and mid-training on open models or privately deployed foundation models. Its four-stage pipeline cleans poorly formatted, empty, short, or evaluation-contaminated data; curates it by quality, task, and taxonomy; creates synthetic data for task relevance and diversity; and composes sources into staged training datasets. The company also describes seeded rephrasing methods for generating synthetic data at trillion-token scale.

An SDK for building AI agents that can operate beyond a standard chatbot. The video describes it as providing filesystem access, tool calling, code writing, and debugging capabilities; AssemblyAI used it to build the Joey support agent with local Markdown documentation, embeddings, agentic file search, and a large CLAUDE.md configuration file.

Deft is a self-hostable, open-source workspace where people and AI agents share chat, tasks, knowledge, calendar context, approvals, and action history. Its core workflow captures discussions as durable knowledge, lets the Defty agent use workspace context to propose task details, and routes proposed agent actions through configurable approval and trust policies before recording the approved work and its receipts. It also provides real-time conversations, task views, notes, knowledge graphs, calendar features, personal MCP connections, agent employees, native workspace tools, scoped access, revocation, and provider-neutral support for hosted or local AI providers. Deft can run without an AI provider as a conventional workspace. The self-hosting path uses Docker and PostgreSQL with pgvector; the repository is an alpha intended for technical evaluation, internal use, and controlled pilots. It is licensed under AGPL-3.0-only.

An open-source Python tool that extracts local chat histories from AI coding assistants and converts them into a normalized JSONL format for backup, personal analytics, or fine-tuning. It auto-discovers conversation data in the storage formats used by Claude Code, Codex CLI, Cursor, Windsurf, Trae, Continue, Gemini CLI, OpenCode, Cline/Roo Code, and Aider. Extracted records can include user and assistant messages, code context, diffs or suggested edits, tool calls and results, timestamps, session IDs, project paths, and model names when those sources store them. It handles JSONL, JSON, SQLite, Markdown, and heuristic undocumented schemas, searches macOS, Linux, and Windows storage conventions, and runs from the command line using only Python's standard library, requiring Python 3.9 or newer.