Trying ollama with claude to see if I could do anything locally and so far every model I have tries
agents anthropic claude llama
| Source: Mastodon | Original article
Anthropic’s Claude Code, the agentic coding assistant that can read, modify and execute code in a developer’s workspace, is hitting a snag for users who want to run it locally via Ollama. A Reddit thread and several recent GitHub gists detail how the model consistently aborts mid‑request when paired with any of Ollama’s open‑source LLMs, leaving testers with error messages and no usable output. The problem appears across Claude Code’s supported back‑ends—Opus, Sonnet and the newer Mythos‑derived variants—suggesting a systemic incompatibility rather than a single‑model bug.
The issue matters because Anthropic has been positioning Claude Code as a bridge between cloud‑based AI power and on‑premise privacy‑first workflows. Developers in the Nordics, where data‑sovereignty regulations are strict, have been eager to avoid the cost and latency of Anthropic’s API by leveraging Ollama’s lightweight, locally hosted models. If Claude Code cannot reliably interface with these models, the promise of a fully offline, high‑performance coding assistant stalls, potentially slowing adoption in sectors such as fintech, healthtech and public‑sector software development.
Anthropic announced earlier this month that it is testing Mythos, its most powerful model to date, and that Claude Code now supports a broader range of providers, including Ollama, LM Studio and llama.cpp. The current failures indicate that the integration layer—likely the RPC bridge that streams token batches between Ollama and Claude’s execution sandbox—needs refinement. Anthropic’s engineering blog promises a “next‑gen connector” in the coming weeks, while Ollama’s roadmap lists “enhanced Claude Code compatibility” as a priority for Q2 2026.
Watch for an official patch from Anthropic or a community‑driven wrapper on GitHub that resolves the token‑streaming deadlock. If the fix lands before the end of the quarter, local Claude Code could become a viable alternative to cloud‑only AI coding tools, reshaping how Nordic firms build and secure software.
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