Keesan12/Martin-Loop

v0.3.13 Feature

This release adds 2 notable features for engineering teams evaluating rollout.

Published 1mo AI Agents & Assistants

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✓ No known CVEs patched

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✓ No known CVEs patched in this version

Topics

agent-runtime ai-agent-runtime ai-coding-agents ai-control-plane ai-governance ai-safety

+13 more

audit-trail budget-enforcement claude-code codex coding-agents control-plane governed-runtime llmops mcp model-context-protocol observability policy-as-code rollback

Summary

AI summary

Automatic model selection based on task complexity across seven engine families.

Full changelog

Autonomous model selection + portable governance

`martin run` picks the right model automatically

No --model flag needed. MartinLoop classifies task complexity:

Simple task → haiku tier (claude-haiku, gpt-4o-mini, gemini-2.5-flash)
Architectural work → sonnet tier
Security + migration → opus tier (claude-opus, o3, gemini-2.5-ultra)

Works across all 7 engine families: Claude, Codex, Gemini, DeepSeek, Qwen, Llama, Nemotron.

Portable on every machine

All hooks use npx martin-loop gate — no global install required. Paths use homedir() and path.join() — works on macOS, Linux, and Windows.

28 new tests

12 memory store tests + 16 model auto-selection tests. All real, no stubs.

Install

npm install -g [email protected]

View diff on GitHub

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Related context

Related tools

Earlier breaking changes

vmcp-v0.1.3 martin_status uses oneOf for selector exclusivity, latest as const.
vmcp-v0.1.3 maxIterations and maxTokens modeled as integers in tool schemas.
vmcp-v0.1.3 Tool schemas enforce additionalProperties: false on public contracts.
vmcp-v0.1.3 Packaged artifacts now require and ship server.json alongside package.json.