whereismyai
Gollama
Gollama is a Go client library that interacts with the Ollama API to manage models and generate completions.
Gollama is a Go client library designed for developers working with the Ollama API. It enables users to manage models, generate completions, conduct chats, and create embeddings against local or remote Ollama servers. The library includes streaming API support for operations like model creation, downloading, uploading, generation, and chat. Configuration options allow developers to set custom hosts, authentication tokens, and request timeouts. It targets Go developers building applications that integrate local language models.
Gollama at a glance
- Best for: Software engineer
- Runs on: open source
- Pricing: Free
- Released: October 2026
- Category: AI coding tool
- Website: github.com/okunix/gollama
Key features
- Manage models and list local instances
- Generate text completions and chat responses
- Create and manage embeddings
- Stream responses for generation and chat
- Configure custom server hosts and timeouts
- Authenticate requests with tokens
Use it for
- Integrating Ollama models into Go applications
- Managing local and remote model files
- Streaming chat and completion responses
- Generating text embeddings in Go
Companions
Tools that articles about Gollama recommend using with it, each with its job.
- Ollama — Built to work with Ollama.
- Open WebUI — Run AI on your own terms with complete data privacy and self-hosting control.
- AnythingLLM — Runs fully on-device with no accounts, API keys, or token limits required.
- LangChain — Framework for custom agents with memory and tools on local models.
- Chroma — Local vector database for embeddings and semantic search.
- Cline — Open source, any model, with approval on every step
Alternatives to Gollama
- WebLLM — Runs high-performance language models directly inside web browsers.
- AirLLM — Runs massive 70B+ parameter models on small 4GB consumer GPUs.
- LLM CLI — It enables command-line interaction with remote APIs and local machine models.
- GoRoute — Consumes 5.1MB of RAM with sub-10ms latency for coding agents.
- Golem — Provides type-safe agent abstractions and zero-dependency Go implementation.
- Ollaya — Run decision models locally with typed, calibrated answers in milliseconds.
- LightLLM — It delivers high-speed inference and serving performance for large language models.
- LiteLLM — One OpenAI-format API for 100+ LLM providers
- llm-d — Deploys production-grade LLM serving on existing hardware clusters.
- Ollama Mock — Tests code and CI pipelines without requiring a GPU or model downloads.
- OpenLLM — Routes developer tools through multiple providers and local models with included inference.
- Mesh LLM — Run large local models across multiple machines through one OpenAI-compatible endpoint.
All Gollama alternatives