Meeting recording
Drop in an mp3 or mp4. Cascade transcribes, identifies speakers, extracts user stories, and walks you through review before any code gets written.
cascade ingest standup.mp3 cascade-agent 0.1.0a1 is live on PyPI Open-source AI agent that takes a meeting recording, a tracker ticket, or a one-line prompt, and ships a tested pull request. Self-hosted. Your LLM key. Your code never leaves your org.
pip install cascade-agent The pipeline
Cascade orchestrates every stage from "I have a requirement" to "here's a tested PR." You stay in control at every gate. Review stories before code, review code before merge.
Three on-ramps
Most AI tools assume requirements arrive as chat messages. Real teams discuss in standups, track in Jira, or just hand off a one-liner. Cascade accepts all three.
Drop in an mp3 or mp4. Cascade transcribes, identifies speakers, extracts user stories, and walks you through review before any code gets written.
cascade ingest standup.mp3 Point Cascade at a Jira, Linear, GitHub, GitLab, or Azure Boards ticket. It pulls the requirements and builds a PR with tests.
cascade ticket jira:PROJ-123 Type one line. Get a plan, code, tests, and a PR. Ideal for the small features that pile up on every team's backlog.
cascade prompt "Add /health endpoint" Plug into your stack
Most AI tools force you onto their stack. Cascade meets you where you are. Five LLM providers, four VCS providers, five trackers, eight languages. Switch any of them with one config command.
What makes it different
Cascade runs on your machine or your CI. Your code never leaves your org except to the LLM provider you explicitly choose.
Stories before code, code before merge. Cascade is built for trust, not for autonomy theatre.
Conventions, decisions, and prior work in a bounded, structured grounding block. The AI gets context without prompt bloat.
Use commercially, fork it, ship it inside your enterprise. No license keys. No usage caps. No telemetry.