CTX

★ 144

★ 121

CTX vs lm

Q: Which is better, CTX or lm?

By GitHub stars, CTX has more community adoption, but the best choice depends on your specific use case.

CTX: CTX is a local context runtime for OpenCode and AI coding agents. It reduces token waste by indexing repositories, storing reusable guidance as graph memory, and providing compact task packs, read-cache compression, command pruning, and a live right-sidebar dashboard. It integrates natively with OpenCode as a context layer without replacing the agent launcher.; lm: Houtini LM connects Claude Code to a local LLM, offloading bounded tasks like boilerplate generation, code review, and commit messages to a free, private local model, while Claude handles complex reasoning. It tracks token savings and supports various local LLM backends.

TL;DR

CTXDev Tooling · ★ 144

Reducing token costs in OpenCode and AI coding workflows

Read CTX full review →

lmLLM Infra · ★ 121

Generate boilerplate, test stubs, and documentation

Read lm full review →

Side-by-Side Comparison

Field

CTX

Features

CTX

01Graph memory for reusable project rules and lessons

02Read-cache compression with digest, outline, and full modes

03Compact task packs that minimize token usage

04Command pruning and log compression

05Live right-sidebar dashboard with token savings metrics

01Offload bounded tasks to a local LLM via Claude Code

02Token tracking with session footer for cost visibility

03Compatible with multiple local LLM backends (LM Studio, Ollama, vLLM, etc.)

04Streaming responses with 55-second soft timeout to avoid client-side timeouts

05Multiple specialized tools (chat, custom_prompt, code_task, discover, list_models)

Use Cases

CTX

↳Reducing token costs in OpenCode and AI coding workflows

↳Efficient project rule retrieval without reloading full markdown files

↳Compressing context for large repositories and repeated file reads

↳Generate boilerplate, test stubs, and documentation

↳Perform code review, explanation, and format conversion

↳Draft commit messages and brainstorm approaches

FAQ

What is the difference between CTX and lm?

Both CTX and lm are in the Dev Tooling category. CTX has 144 stars, while lm has 121 stars.

Which is better, CTX or lm?

The best choice depends on your use case. Choose CTX if Reducing token costs in OpenCode and AI coding workflows, and lm if Generate boilerplate, test stubs, and documentation.

Is CTX free or open source?

Yes, CTX is open source on GitHub.

Is lm free or open source?

Yes, lm is open source on GitHub (MIT).

Cloud Infrastructure

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Alternatives to CTX →Alternatives to lm →CTX details →lm details →

TL;DR

Side-by-Side Comparison

Features

Use Cases

FAQ

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