fix merge conflict

This commit is contained in:
likelovewant
2025-11-08 17:36:08 +08:00
351 changed files with 108576 additions and 3017 deletions

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@@ -248,6 +248,18 @@ ollama ps
ollama stop llama3.2
```
### Generate embeddings from the CLI
```shell
ollama run embeddinggemma "Your text to embed"
```
You can also pipe text for scripted workflows:
```shell
echo "Your text to embed" | ollama run embeddinggemma
```
### Start Ollama
`ollama serve` is used when you want to start ollama without running the desktop application.
@@ -304,7 +316,8 @@ See the [API documentation](./docs/api.md) for all endpoints.
- [SwiftChat (macOS with ReactNative)](https://github.com/aws-samples/swift-chat)
- [Enchanted (macOS native)](https://github.com/AugustDev/enchanted)
- [Hollama](https://github.com/fmaclen/hollama)
- [Lollms-Webui](https://github.com/ParisNeo/lollms-webui)
- [Lollms WebUI (Single user)](https://github.com/ParisNeo/lollms-webui)
- [Lollms (Multi users)](https://github.com/ParisNeo/lollms)
- [LibreChat](https://github.com/danny-avila/LibreChat)
- [Bionic GPT](https://github.com/bionic-gpt/bionic-gpt)
- [HTML UI](https://github.com/rtcfirefly/ollama-ui)
@@ -437,6 +450,7 @@ See the [API documentation](./docs/api.md) for all endpoints.
- [Andes](https://github.com/aqerd/andes) (A Visual Studio Code extension that provides a local UI interface for Ollama models)
- [Clueless](https://github.com/KashyapTan/clueless) (Open Source & Local Cluely: A desktop application LLM assistant to help you talk to anything on your screen using locally served Ollama models. Also undetectable to screenshare)
- [ollama-co2](https://github.com/carbonatedWaterOrg/ollama-co2) (FastAPI web interface for monitoring and managing local and remote Ollama servers with real-time model monitoring and concurrent downloads)
- [Hillnote](https://hillnote.com) (A Markdown-first workspace designed to supercharge your AI workflow. Create documents ready to integrate with Claude, ChatGPT, Gemini, Cursor, and more - all while keeping your work on your device.)
### Cloud
@@ -444,6 +458,10 @@ See the [API documentation](./docs/api.md) for all endpoints.
- [Fly.io](https://fly.io/docs/python/do-more/add-ollama/)
- [Koyeb](https://www.koyeb.com/deploy/ollama)
### Tutorial
- [handy-ollama](https://github.com/datawhalechina/handy-ollama) (Chinese Tutorial for Ollama by [Datawhale ](https://github.com/datawhalechina) - China's Largest Open Source AI Learning Community)
### Terminal
- [oterm](https://github.com/ggozad/oterm)
@@ -483,6 +501,7 @@ See the [API documentation](./docs/api.md) for all endpoints.
- [AWS-Strands-With-Ollama](https://github.com/rapidarchitect/ollama_strands) - AWS Strands Agents with Ollama Examples
- [ollama-multirun](https://github.com/attogram/ollama-multirun) - A bash shell script to run a single prompt against any or all of your locally installed ollama models, saving the output and performance statistics as easily navigable web pages. ([Demo](https://attogram.github.io/ai_test_zone/))
- [ollama-bash-toolshed](https://github.com/attogram/ollama-bash-toolshed) - Bash scripts to chat with tool using models. Add new tools to your shed with ease. Runs on Ollama.
- [hle-eval-ollama](https://github.com/mags0ft/hle-eval-ollama) - Runs benchmarks like "Humanity's Last Exam" (HLE) on your favorite local Ollama models and evaluates the quality of their responses
- [VT Code](https://github.com/vinhnx/vtcode) - VT Code is a Rust-based terminal coding agent with semantic code intelligence via Tree-sitter. Ollama integration for running local/cloud models with configurable endpoints.
### Apple Vision Pro
@@ -514,6 +533,7 @@ See the [API documentation](./docs/api.md) for all endpoints.
- [Firebase Genkit](https://firebase.google.com/docs/genkit/plugins/ollama)
- [crewAI](https://github.com/crewAIInc/crewAI)
- [Yacana](https://remembersoftwares.github.io/yacana/) (User-friendly multi-agent framework for brainstorming and executing predetermined flows with built-in tool integration)
- [Strands Agents](https://github.com/strands-agents/sdk-python) (A model-driven approach to building AI agents in just a few lines of code)
- [Spring AI](https://github.com/spring-projects/spring-ai) with [reference](https://docs.spring.io/spring-ai/reference/api/chat/ollama-chat.html) and [example](https://github.com/tzolov/ollama-tools)
- [LangChainGo](https://github.com/tmc/langchaingo/) with [example](https://github.com/tmc/langchaingo/tree/main/examples/ollama-completion-example)
- [LangChain4j](https://github.com/langchain4j/langchain4j) with [example](https://github.com/langchain4j/langchain4j-examples/tree/main/ollama-examples/src/main/java)
@@ -568,6 +588,7 @@ See the [API documentation](./docs/api.md) for all endpoints.
- [any-agent](https://github.com/mozilla-ai/any-agent) (A single interface to use and evaluate different agent frameworks by [mozilla.ai](https://www.mozilla.ai/))
- [Neuro SAN](https://github.com/cognizant-ai-lab/neuro-san-studio) (Data-driven multi-agent orchestration framework) with [example](https://github.com/cognizant-ai-lab/neuro-san-studio/blob/main/docs/user_guide.md#ollama)
- [achatbot-go](https://github.com/ai-bot-pro/achatbot-go) a multimodal(text/audio/image) chatbot.
- [Ollama Bash Lib](https://github.com/attogram/ollama-bash-lib) - A Bash Library for Ollama. Run LLM prompts straight from your shell, and more
### Mobile
@@ -613,7 +634,6 @@ See the [API documentation](./docs/api.md) for all endpoints.
- [Terraform AWS Ollama & Open WebUI](https://github.com/xuyangbocn/terraform-aws-self-host-llm) (A Terraform module to deploy on AWS a ready-to-use Ollama service, together with its front-end Open WebUI service.)
- [node-red-contrib-ollama](https://github.com/jakubburkiewicz/node-red-contrib-ollama)
- [Local AI Helper](https://github.com/ivostoykov/localAI) (Chrome and Firefox extensions that enable interactions with the active tab and customisable API endpoints. Includes secure storage for user prompts.)
- [vnc-lm](https://github.com/jake83741/vnc-lm) (Discord bot for messaging with LLMs through Ollama and LiteLLM. Seamlessly move between local and flagship models.)
- [LSP-AI](https://github.com/SilasMarvin/lsp-ai) (Open-source language server for AI-powered functionality)
- [QodeAssist](https://github.com/Palm1r/QodeAssist) (AI-powered coding assistant plugin for Qt Creator)
- [Obsidian Quiz Generator plugin](https://github.com/ECuiDev/obsidian-quiz-generator)
@@ -641,3 +661,6 @@ See the [API documentation](./docs/api.md) for all endpoints.
- [HoneyHive](https://docs.honeyhive.ai/integrations/ollama) is an AI observability and evaluation platform for AI agents. Use HoneyHive to evaluate agent performance, interrogate failures, and monitor quality in production.
- [Langfuse](https://langfuse.com/docs/integrations/ollama) is an open source LLM observability platform that enables teams to collaboratively monitor, evaluate and debug AI applications.
- [MLflow Tracing](https://mlflow.org/docs/latest/llms/tracing/index.html#automatic-tracing) is an open source LLM observability tool with a convenient API to log and visualize traces, making it easy to debug and evaluate GenAI applications.
## Security
- [Ollama Fortress](https://github.com/ParisNeo/ollama_proxy_server)