Augur

Overview

Augur is a local-first investment research memory system built around 18 investor personas. Each persona analyzes independently, and the system combines their views into a weighted consensus. Evidence carries temporal semantics, and each run is reviewable through CLI, Dashboard, and MCP entry points.

Key Features

• Eighteen investor personas conduct independent analysis and contribute to a weighted consensus. Evidence is tagged with temporal semantics for time-aware review. Every run can be reviewed later. The system provides CLI, Dashboard, and MCP entry points. It follows a local-first

Use Cases

• Use Augur to analyze investment targets from multiple perspectives and compare the independent views of 18 investor personas with their weighted consensus. Use it when research evidence needs a temporal trail and each analysis run should be reviewable later. Integrate it into

Getting Started

• The repository provides an install.sh one-line installer that checks for Python and git, offers full or data-only installation, and includes PATH hints and startup instructions. The README provides quickstart documentation. The CLI cheat sheet covers skill, eval, risk-review,

Deployment & Requirements

• The repository includes Dockerfile, docker-compose, and Makefile for containerized or local deployment. augur serve and augur api default to binding 127.0.0.1 and print a warning when bound to another address. Dashboard authentication requires AUGUR_API_TOKEN or multi-user mode,

Before You Adopt

• License: MIT. Review its terms before using, modifying, or distributing the project.