01 / CATEGORY

AI, models and agents

Local model runtimes, inference engines, agent frameworks and coding systems that are useful beyond a demo.

4 long-form field guides
07AI + agents7 min

ollama / ollama

Ollama makes a local model feel like an ordinary service

Ollama packages model acquisition, local execution, configuration, a command-line interface, and an application-facing API into one approachable runtime. Its current documentation also supports larger cloud-hosted models, so the project is best understood as a consistent model interface with local execution as a major strength, not as an offline guarantee.

10AI + agents7 min

Aider-AI / aider

Aider keeps Git in the loop while the model edits your code

Aider works inside an existing Git repository, builds a map of the codebase, sends selected context to a chosen model, applies edits, and records changes through familiar version-control machinery. Its restraint is the point: the developer keeps the terminal, editor, test suite, and repository as the center of work.

20AI + agents7 min

continuedev / continue

Continue is still worth studying at the end of active maintenance

Continue helped establish a configurable alternative to sealed coding assistants through editor extensions, a terminal client, model choice, rules, prompts, and tool integrations. The official repository now states that it is read-only and no longer actively maintained, with 2.0.0 presented as the final release. That status is the first fact any prospective adopter needs.