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Vignesh 4138e853d5
server/images: prevent skipVerify map collision with duplicate digests (#15504)
When a manifest contains a config and layer with the same digest, the
skipVerify map entry was overwritten by the config's cache-hit value
(true), replacing the layer's non-cache-hit value (false). This caused
verifyBlob to be skipped for the freshly downloaded blob.

A rogue OCI registry could exploit this by serving a manifest with
duplicate digests and redirecting blob downloads to internal endpoints.
The SSRF response would be written to disk, hash verification would be
skipped due to the map collision, and the blob would persist.

The fix uses logical AND when updating skipVerify: once any download of
a digest was not a cache hit, verification is always performed.

Fixes #15485

---------

Co-authored-by: Patrick Devine <patrick@ollama.com>
2026-08-12 11:44:32 -07:00
.github Release v0.32.7 (#17646) 2026-08-10 04:04:56 -07:00
agent lint: clean up current tree (#17456) 2026-07-29 15:33:28 -07:00
anthropic anthropic: close text block before starting thinking block (#17225) 2026-07-17 10:24:38 -04:00
api api: stop applying repeat_penalty 1.1 to models that don't set one 2026-08-11 21:47:51 -07:00
app app/updater: drain background update-check goroutine before returning (#17446) 2026-07-31 10:42:40 -07:00
auth auth: fix problems with the ollama keypairs (#12373) 2025-09-22 23:20:20 -07:00
cmake mlx: enable CUDA backend in CUDA builds (#17688) 2026-08-12 07:31:00 -07:00
cmd agent/tui: stream thinking traces (#17611) 2026-08-07 13:11:45 -07:00
convert llama: default qwen2.5vl window attention metadata (#16868) 2026-06-24 10:35:29 -07:00
discover discover: fall back to standard CUDA when the JetPack runner is absent (#16949) 2026-07-02 08:34:35 -07:00
docs api: stop applying repeat_penalty 1.1 to models that don't set one 2026-08-11 21:47:51 -07:00
envconfig runner: Remove CGO engines, use llama-server exclusively for GGML models (#16031) 2026-05-29 13:35:47 -07:00
format chore(all): replace instances of interface with any (#10067) 2025-04-02 09:44:27 -07:00
fs create: harden GGUF create flows (#17062) 2026-07-06 16:20:20 -07:00
harmony runner: Remove CGO engines, use llama-server exclusively for GGML models (#16031) 2026-05-29 13:35:47 -07:00
integration Release v0.32.7 (#17646) 2026-08-10 04:04:56 -07:00
internal Merge pull request #17483 from ollama/drifkin/suggest-cloud 2026-07-31 14:28:04 -07:00
llama llama.cpp update (#17545) 2026-08-04 09:51:52 -07:00
llm Release v0.32.7 (#17646) 2026-08-10 04:04:56 -07:00
logutil runner: Remove CGO engines, use llama-server exclusively for GGML models (#16031) 2026-05-29 13:35:47 -07:00
manifest runner: Remove CGO engines, use llama-server exclusively for GGML models (#16031) 2026-05-29 13:35:47 -07:00
middleware openai: match openai's streaming wire format for chat completions (#17485) 2026-08-03 15:36:57 -07:00
ml llama: enable FA on CUDA CC 6.x GPUs (#16994) 2026-07-02 17:11:39 -07:00
model nemotron_h: support the Nemotron 3.5 prompt layout (#17672) 2026-08-11 06:18:51 -07:00
openai openai: expand namespace tool declarations in the responses API (#17593) 2026-08-07 09:52:37 -07:00
parser model: add Laguna v8 chat support and fix Metal inference (#17291) 2026-07-21 16:06:29 -07:00
progress progress: fix data races on ticker, states, spinner, and bar state (#17445) 2026-08-04 15:06:15 -07:00
readline runner: Remove CGO engines, use llama-server exclusively for GGML models (#16031) 2026-05-29 13:35:47 -07:00
runner imagegen: remove MLX image generation code (#16615) 2026-07-28 15:35:28 -07:00
scripts win: support CUDA on Windows ARM64 (#16931) 2026-07-21 10:53:30 -07:00
server server/images: prevent skipVerify map collision with duplicate digests (#15504) 2026-08-12 11:44:32 -07:00
template runner: Remove CGO engines, use llama-server exclusively for GGML models (#16031) 2026-05-29 13:35:47 -07:00
thinking thinking: fix double emit when no opening tag 2025-08-21 21:03:12 -07:00
tokenizer tokenizer: fix multi-regex BPE offset handling (#15844) 2026-04-27 14:14:27 -07:00
tools tools: ignore braces inside JSON strings when detecting tool call end (#16937) 2026-06-27 12:00:55 -07:00
types manifests: remove OCI rootfs from the model config (#17619) 2026-08-08 19:44:57 -07:00
version add version 2023-08-22 09:40:58 -07:00
x nemotron_h: support the Nemotron 3.5 prompt layout (#17672) 2026-08-11 06:18:51 -07:00
.dockerignore next build (#8539) 2025-01-29 15:03:38 -08:00
.gitattributes .gitattributes: add app/webview to linguist-vendored (#13274) 2025-11-29 23:46:10 -05:00
.gitignore create: Clean up experimental paths, fix create from existing safetensor model (#14679) 2026-04-07 08:12:57 -07:00
.golangci.yaml ci: restore previous linter rules (#13322) 2025-12-03 18:55:02 -08:00
AGENTS.md Add AGENTS.md and CLAUDE.md to root repository (#16604) 2026-06-07 10:57:59 -07:00
CLAUDE.md Add AGENTS.md and CLAUDE.md to root repository (#16604) 2026-06-07 10:57:59 -07:00
CMakeLists.txt runner: Remove CGO engines, use llama-server exclusively for GGML models (#16031) 2026-05-29 13:35:47 -07:00
CMakePresets.json runner: Remove CGO engines, use llama-server exclusively for GGML models (#16031) 2026-05-29 13:35:47 -07:00
CONTRIBUTING.md docs: fix typos in repository documentation (#10683) 2025-11-15 20:22:29 -08:00
Dockerfile imagegen: remove MLX image generation code (#16615) 2026-07-28 15:35:28 -07:00
go.mod agent/tui: stream thinking traces (#17611) 2026-08-07 13:11:45 -07:00
go.sum server: remove OLLAMA_EXPERIMENT=client2 (#16962) 2026-07-06 13:15:39 -07:00
LICENSE proto -> ollama 2023-06-26 15:57:13 -04:00
LLAMA_CPP_VERSION llama.cpp update (#17659) 2026-08-10 15:48:32 -07:00
main.go lint 2024-08-01 17:06:06 -07:00
MLX_C_VERSION Update MLX and MLX-C with threading fixes (#15845) 2026-05-03 10:03:14 -07:00
MLX_VERSION MLX: version bump (#17637) 2026-08-09 10:38:49 -07:00
README.md docs: update docs examples to use Gemma 4 instead of Gemma 3 (#16607) 2026-06-07 12:43:13 -07:00
SECURITY.md docs: fix typos in repository documentation (#10683) 2025-11-15 20:22:29 -08:00

ollama

Ollama

Start building with open models.

Download

macOS

curl -fsSL https://ollama.com/install.sh | sh

or download manually

Windows

irm https://ollama.com/install.ps1 | iex

or download manually

Linux

curl -fsSL https://ollama.com/install.sh | sh

Manual install instructions

Docker

The official Ollama Docker image ollama/ollama is available on Docker Hub.

Libraries

Community

Get started

ollama

You'll be prompted to run a model or connect Ollama to your existing agents or applications such as Claude Code, OpenClaw, OpenCode , Codex, Copilot, and more.

Coding

To launch a specific integration:

ollama launch claude

Supported integrations include Claude Code, Codex, Copilot CLI, Droid, and OpenCode.

AI assistant

Use OpenClaw to turn Ollama into a personal AI assistant across WhatsApp, Telegram, Slack, Discord, and more:

ollama launch openclaw

Chat with a model

Run and chat with Gemma 4:

ollama run gemma4

See ollama.com/library for the full list.

See the quickstart guide for more details.

REST API

Ollama has a REST API for running and managing models.

curl http://localhost:11434/api/chat -d '{
  "model": "gemma4",
  "messages": [{
    "role": "user",
    "content": "Why is the sky blue?"
  }],
  "stream": false
}'

See the API documentation for all endpoints.

Python

pip install ollama
from ollama import chat

response = chat(model='gemma4', messages=[
  {
    'role': 'user',
    'content': 'Why is the sky blue?',
  },
])
print(response.message.content)

JavaScript

npm i ollama
import ollama from "ollama";

const response = await ollama.chat({
  model: "gemma4",
  messages: [{ role: "user", content: "Why is the sky blue?" }],
});
console.log(response.message.content);

Supported backends

  • llama.cpp project founded by Georgi Gerganov.

Documentation

Community Integrations

Want to add your project? Open a pull request.

Chat Interfaces

Web

Desktop

  • Dify.AI - LLM app development platform
  • AnythingLLM - All-in-one AI app for Mac, Windows, and Linux
  • Maid - Cross-platform mobile and desktop client
  • Witsy - AI desktop app for Mac, Windows, and Linux
  • Cherry Studio - Multi-provider desktop client
  • Ollama App - Multi-platform client for desktop and mobile
  • PyGPT - AI desktop assistant for Linux, Windows, and Mac
  • Alpaca - GTK4 client for Linux and macOS
  • SwiftChat - Cross-platform including iOS, Android, and Apple Vision Pro
  • Enchanted - Native macOS and iOS client
  • RWKV-Runner - Multi-model desktop runner
  • Ollama Grid Search - Evaluate and compare models
  • macai - macOS client for Ollama and ChatGPT
  • AI Studio - Multi-provider desktop IDE
  • Reins - Parameter tuning and reasoning model support
  • ConfiChat - Privacy-focused with optional encryption
  • LLocal.in - Electron desktop client
  • MindMac - AI chat client for Mac
  • Msty - Multi-model desktop client
  • BoltAI for Mac - AI chat client for Mac
  • IntelliBar - AI-powered assistant for macOS
  • Kerlig AI - AI writing assistant for macOS
  • Hillnote - Markdown-first AI workspace
  • Perfect Memory AI - Productivity AI personalized by screen and meeting history

Mobile

SwiftChat, Enchanted, Maid, Ollama App, Reins, and ConfiChat listed above also support mobile platforms.

Code Editors & Development

Libraries & SDKs

Frameworks & Agents

RAG & Knowledge Bases

  • RAGFlow - RAG engine based on deep document understanding
  • R2R - Open-source RAG engine
  • MaxKB - Ready-to-use RAG chatbot
  • Minima - On-premises or fully local RAG
  • Chipper - AI interface with Haystack RAG
  • ARGO - RAG and deep research on Mac/Windows/Linux
  • Archyve - RAG-enabling document library
  • Casibase - AI knowledge base with RAG and SSO
  • BrainSoup - Native client with RAG and multi-agent automation

Bots & Messaging

Terminal & CLI

Productivity & Apps

Observability & Monitoring

  • Opik - Debug, evaluate, and monitor LLM applications
  • OpenLIT - OpenTelemetry-native monitoring for Ollama and GPUs
  • Lunary - LLM observability with analytics and PII masking
  • Langfuse - Open source LLM observability
  • HoneyHive - AI observability and evaluation for agents
  • MLflow Tracing - Open source LLM observability

Database & Embeddings

Infrastructure & Deployment

Cloud

Package Managers