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Local AI

Peak · emerged March 2023 · high July 2026 · -19% on the month before · 44 mentions on Trending in 14 days

Running language and image models on your own laptop, phone or server instead of a cloud API. Named by Georgi Gerganov: llama.cpp: LLaMA inference in plain C/C++ (Mar 10, 2023). Also called Local LLMs, On-device AI, Self-hosted AI, Running models locally.

Index 0 to 100, monthly
04692202420252026Origin

Signals

SignalReads as
Hacker News stories, last 12 months813 stories, +185% on the 12 months beforeAdoption
arXiv papers, last 12 months237 papers, +81% on the 12 months beforeAdoption
Wikipedia views, August 202610,075, +73% on a year beforeAdoption
Product releases naming it1 since Sep 1, 2025Adoption
GitHub repositories27,725Adoption

Trending terms

TermPeak
MLX2 days, last Sep 19 6 days ago25
llama.cpp2 days, last Sep 14 11 days ago25
DGX Spark2 days, last Sep 4 3 weeks ago28
LM Studio1 day, last Sep 3 3 weeks ago25
Ollama2 days, last Sep 3 3 weeks ago25

Companies

NameMentions
Ollama1

Releases

1 release since Sep 1, 2025
Name
Ollama 0.34.2Ollama · Sep 17, 2026 8 days ago

Models

GitHub projects

27,725 repositories
NameStars
nomic-ai/gpt4allGPT4All: Run Local LLMs on Any Device. Open-source and available for commercial use. · Mar 27, 2023 3 years ago77,384
oobabooga/textgenOpen-source desktop app for local LLMs. Text, vision, tool-calling, OpenAI/Anthropic-compatible API. 100% private. · Dec 21, 2022 3 years ago47,706
khoj-ai/khojYour AI second brain. Self-hostable. Get answers from the web or your docs. Build custom agents, schedule automations, do deep research. Tur · Aug 16, 2021 5 years ago37,493
intel/ipex-llmAccelerate local LLM inference and finetuning (LLaMA, Mistral, ChatGLM, Qwen, DeepSeek, Mixtral, Gemma, Phi, MiniCPM, Qwen-VL, MiniCPM-V, et · Aug 29, 2016 10 years ago8,853
Andyyyy64/whichllmFind the local LLM that actually runs and performs best on your hardware. Ranked by real, recency-aware benchmarks, not parameter count. One · Mar 4, 2026 6 months ago6,682
pguso/ai-agents-from-scratchDemystify AI agents by building them yourself. Local LLMs, no black boxes, real understanding of function calling, memory, and ReAct pattern · Oct 23, 2025 11 months ago4,809
MovementStage
Small language modelsCompact models, a few billion parameters or less, trained to be good enough and cheap to run anywhere.Peak
Open-weight modelsModels whose trained weights anyone can download, run and fine-tune: Llama, Qwen, DeepSeek, Mistral and more.Rising
Inference chipsAccelerators built to serve models cheaply and fast rather than to train them: TPUs, LPUs, wafer-scale and custom silicon.Peak

History

DateWhat changed
Sep 24, 2026Tracking started: emerged March 2023, peak, 4 other names recorded

Sources: Curve: Hacker News story titles, Wikipedia pageviews and arXiv papers by month, refreshed Sep 24, 2026. Related entities from the fru.dev sites' public APIs, matched by name. How stages work.

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