Brad Zhang / public archive

Brad Zhang

AI product notes, agent workflow writing, and open-source dossiers for founders and early technical teams.

Open source

Open source

Open source

Open-source hero banner

If the essays speak the judgment aloud, the repositories are where that judgment is handed over to the world in workable form. Each project page also adds a site-native reading of the README, so the repos can be read as products, workflows, and public proof.

Repository quick routes

Scan a one-screen row index before opening deeper dossier cards and proof atlas entries.

Repository activity lanes

Audit repository cadence by recent push date, then route each row back into topic lanes, proof paths, forum lanes, and collaboration.

12 activity rows

Proof continuity matrix

Audit how each repository connects into topic lanes, cluster proof paths, forum lanes, and collaboration routes.

10 continuity rows

Topic proof lanes

Group repository proof by topic lanes, then route each lane into longform, forum, and collaboration paths.

6 topic lanes

Proof atlas index

Scan the public proof system by repository, topic, continuation route, and collaboration edge.

10 indexed repos

01 / Python / 7.9k stars

Repository / yizhiyanhua-ai

02 / Python / 94 stars

Repository / yizhiyanhua-ai

03 / Python / 8 stars

Repository / yizhiyanhua-ai

04 / TypeScript / 2 stars

Repository / yizhiyanhua-ai

05 / Python / 390 stars

Repository / yizhiyanhua-ai

06 / Python / 165 stars

Repository / yizhiyanhua-ai

07 / Shell / 91 stars

Repository / yizhiyanhua-ai

08 / Python / 51 stars

Repository / yizhiyanhua-ai

09 / Python / 51 stars

Repository / yizhiyanhua-ai

10 / HTML / 39 stars

Repository / yizhiyanhua-ai

Featured repositories

Begin with the works carrying the most weight.

Begin with the works carrying the most weight.

fireworks-tech-graph
01Python7.9k stars

fireworks-tech-graph

Technical diagrams as durable product and distribution infrastructure.

This repo is market proof that the builder can turn vague technical structure into public artifacts developers want to share.

Explain AI systems faster to users, teammates, investors, and customers.

Build a repeatable visual grammar around complex workflows and infrastructure.

fireworks-skill-memory
02Python94 stars

fireworks-skill-memory

Per-skill memory that turns past work into reusable operating context.

This is one of the clearest proofs on the site that AI memory should be structured, selective, and recoverable rather than merely larger.

Create lasting memory for repeated AI skills without overloading every session.

Turn operator learning into a real asset the system can re-enter later.

fireworks-sessions-saver
03Python8 stars

fireworks-sessions-saver

Checkpointing for coding sessions that will inevitably be interrupted.

Interruption is not an edge case in real AI work. A team that can resume cleanly has a direct execution advantage.

Design recovery paths for long-running agentic workflows.

Reduce the hidden cost of context loss across team handoff.

Repository shelf

The remaining repositories continue on the side shelf.

The remaining repositories continue on the side shelf.

fireworks-design

HTML / 39 stars / yizhiyanhua-ai

fireworks-design

🎆 A Claude Code workflow that replicates ClaudeDesign — parallel design exploration, panel judging, synthesis, and adversarial refinement to a single world-class frontend page. 双语 README。

🎆 A Claude Code workflow that replicates ClaudeDesign — parallel design exploration, panel judging, synthesis, and adversarial refinement to a single world-class frontend page. 双语 README。

Proof clusters

The project library and thesis clusters sit on the same proof map.

The project library and thesis clusters sit on the same proof map.

01 / Cluster 01

3 routes

Harness engineering for agentic AI products

What has to surround the model before an AI workflow becomes a product?

Repository shelf

fireworks-tech-graph leads this cluster

2 repository nodes support this cluster.

Proof library / repository shelf

Lead proof

AI Thesis

Enter this founder question through AI Thesis first.

Cluster route / AI Thesis

Commercial edge

Founder collaboration routes

Continue this cluster's public proof into founder collaboration.

Fit route / founder collaboration

Lead repository

fireworks-tech-graph

Hand-made one-off diagrams that collapse after a single meeting or slide deck.

Dossier page / fireworks-tech-graph

Dossier page

02 / Cluster 02

3 routes

Long-running agents and resumable work

Where does the user lose trust when an agent runs for hours?

Repository shelf

Enter this cluster through the repository library

0 repository nodes support this cluster.

Proof library / repository shelf

Lead proof

AI Thesis

Enter this founder question through AI Thesis first.

Cluster route / AI Thesis

Commercial edge

Founder collaboration routes

Continue this cluster's public proof into founder collaboration.

Fit route / founder collaboration

03 / Cluster 03

3 routes

Developer communication for AI infrastructure

Can someone understand the product before they understand the whole codebase?

Repository shelf

Enter this cluster through the repository library

0 repository nodes support this cluster.

Proof library / repository shelf

Lead proof

fireworks-tech-graph case study

Enter this founder question through fireworks-tech-graph case study first.

Cluster route / fireworks-tech-graph case study

Commercial edge

Founder collaboration routes

Continue this cluster's public proof into founder collaboration.

Fit route / founder collaboration

Commercial outcomes

Dossier atlas

Projects are not only listed by name. They are arranged by the workflow they replace.

Projects are not only listed by name. They are arranged by the workflow they replace.

01 / Python / 7.9k stars

Open

fireworks-tech-graph

Hand-made one-off diagrams that collapse after a single meeting or slide deck.

This repo is market proof that the builder can turn vague technical structure into public artifacts developers want to share.

02 / Python / 94 stars

Open

fireworks-skill-memory

One giant memory dump that cannot distinguish a reusable pattern from random residue.

This is one of the clearest proofs on the site that AI memory should be structured, selective, and recoverable rather than merely larger.

03 / Python / 8 stars

Open

fireworks-sessions-saver

Fragile long-running sessions where useful context disappears after pauses, crashes, or handoffs.

Interruption is not an edge case in real AI work. A team that can resume cleanly has a direct execution advantage.

04 / TypeScript / 2 stars

Open

paper-pal

PDF hoarding and one-pass reading that never turns into reusable understanding.

Serious AI work depends on reading systems, not just browsing papers. This project treats comprehension as production work.

Proof shelves

Viewed from the thesis side, which repositories provide execution proof?

Viewed from the thesis side, which repositories provide execution proof?

Cluster 01

Harness engineering for agentic AI products

Open

Harness engineering for agentic AI products routes first into repository dossiers, then back out into the thesis, the forum, and collaboration.