Inference
MITOllama
Run large language models locally with a simple CLI and REST API.
A practical guide to the open-source AI stack
OpenSourcesAI helps developers, founders, and AI builders scan the open ecosystem faster, compare tools by workflow, and assemble a stack for local inference, coding, retrieval, orchestration, and deployment.
Featured tools
Start with tools that show up repeatedly in local AI setups, coding workflows, retrieval systems, orchestration experiments, and model routing stacks.
Inference
MITRun large language models locally with a simple CLI and REST API.
Inference
Proprietary (free)Desktop app for discovering, downloading, and running local LLMs.
Inference
MITFree, open source OpenAI-compatible API server for local inference.
Serving
Apache 2.0High-throughput LLM serving with PagedAttention for production use.
Frameworks
MITFramework for building LLM-powered applications and agent pipelines.
Frameworks
MITData framework for connecting LLMs to external data sources and RAG.
Top AI models
Track the model ecosystems influencing local inference, coding, multilingual applications, agentic systems, and self-hosted product work.
Chat
Meta's flagship open weights model. Strong reasoning, coding, and instruction following.
Chat
Punches well above its weight class. Excellent for local inference on consumer GPUs.
Chat
Top-tier open weights model with strong multilingual and coding capabilities.
Code
Best-in-class open source coding model. Rivals GPT-4o on coding benchmarks.
Edge
3.8B parameter model that outperforms models 3x its size. Runs on CPU.
Chat
Google's open weights model family. Strong performance at the 27B scale.
Code
Meta's code-specialized model. Strong at completion, infilling, and instruction following.
Chat
UAE Technology Innovation Institute open model. Strong multilingual capabilities.
Categories
Use categories to move quickly from exploration to implementation, whether you are testing local models, wiring up RAG, evaluating toolchains, or planning deployment.
Why open source AI
Open-source AI is not just about cost. It changes how teams think about privacy, portability, iteration speed, and infrastructure choice.
For builders & vendors
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