renatosviana/bank-tech-agent
AI-powered research workflow that analyzes public signals about a bank’s technology landscape and generates exploratory architecture proposals. Built with Claude, FastAPI, and Server-Sent Events.
SUMMARY AI summary by gpt-5-mini
Bank Tech Discovery Agent is an AI-assisted workflow that analyzes public signals about a bank’s technology landscape and generates exploratory architecture proposals focused on distributed ledger and event-driven modernization. Intended for technical consultants, solution architects, sales engineers and enterprise modernization teams evaluating integration or go-to-market fit. Key features: - Four-step streaming analysis: Research, Stack mapping, Gap analysis, and a Matera proposal (fit, entry points, integration considerations). - Built with Anthropic Claude, FastAPI, and Server-Sent Events for live progress streaming. - Autosaves standalone HTML reports to reports/ for meeting leave-behinds. - Prompts are editable in main.py; model and API key set via .env. - Local-only report storage; no live web crawling unless a web_search tool is added. Requires Python 3.10+ and an Anthropic API key.
DETECTED Detected AI stack
AI-related keywords found in this repo's description, topics, or README summary — grouped by category. Each badge links to the corresponding ranking detail page.
Language breakdown (by bytes)
Why this is classified AI-related
The AI relevance score checks four places for AI keywords and adds the weight of each one that matches. Full methodology
Total AI relevance score: 75 / 100
Position among AI repos in the same language
We track 12,545 Python repos, of which 9,690 score 40 or above on AI relevance. 2,092 have more stars than this one (top 16.7%), and 562 score higher (top 4.5%).
Owner
Principal Software Engineer · Kafka & Event-Driven Architect · Governed AI Systems
Dates
| Created on GitHub | 2026-05-07 |
| Last push | 2026-05-09 |
| First seen here | 2026-05-09 |
| Last fetched | 2026-08-17 16:13 |
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