Repository brief

Shubhamsaboo/awesome-llm-apps

Read the upstream summary on the left, browse the cached forks below it, and load each fork comparison into the right-hand panel.

Cached analysis

cached 2026-03-29T22:26:58.464Z

Shubhamsaboo/awesome-llm-apps

Shubhamsaboo/awesome-llm-apps is a large, actively maintained curated collection of LLM application examples. It focuses on practical apps built with RAG, AI agents, multi-agent teams, MCP, and voice agents, using OpenAI, Anthropic, Google Gemini, xAI, and open-source models like Qwen and Llama. The repository appears especially fork-worthy if you want reference implementations and a broad catalog of LLM app patterns rather than a single product.

GitHub

Stars103,943

Forks15,169

Default branchmain

Last pushed2026-03-28T05:07:59Z

Best maintainedNone

Closest to upstreamblurred-machine/awesome-llm-apps

Most feature-richHeyNina101/real-world-llm-agents

Most opinionatedHeyNina101/real-world-llm-agents

Forks

Choose a fork to inspect

6 cached fork briefs

Fork comparison

blurred-machine/awesome-llm-apps

stale

substantial

Prefer upstream unless you specifically need a frozen snapshot; this fork adds nothing new and is materially behind current upstream content.

Likely purpose

Forked as a snapshot or personal copy of the upstream reference catalog rather than as an actively maintained variant.

Best for

People who want a stable snapshot for reference or comparison.; Users who intend to build their own fork from the upstream catalog without needing the latest updates.; Teams that prefer a minimally modified copy over an actively evolving repo.

Additional features

Missing features

Falls behind upstream by 142 commits, so it misses newer projects, README/documentation updates, and recent bugfixes.
Does not include recent upstream additions such as the self-improving agent skills project, the multimodal video moment finder app, and the AI fraud investigation agent.
Misses upstream maintenance work like context-overflow handling improvements, package updates, and architecture/banner refreshes.
It trails upstream by 142 commits, so some recent upstream features and fixes are likely not present yet.

Strengths

Keeps the upstream repository’s broad catalog of LLM app examples and patterns.
Low local divergence means it is easy to understand as an upstream baseline.

Risks

Adopters will not get recent upstream fixes or new example projects.
Because it has no unique changes, there is little reason to choose it over upstream unless a frozen snapshot is specifically needed.