Purple Terminal Agent is a Mixture-of-Model (MoM) yielding REPL driven hierarchical planning and domain specific critic-guided execution agent designed for hard, realistic command-line tasks. Given a task and a live shell endpoint, it decomposes the problem into ordered sub-goals before issuing any command, pre-flights every command through a domain-aware critic to prevent interactive hangs and blind pattern-copying, and self-verifies by running test scripts before declaring completion. The agent scales inference-time depth through three mechanisms: a hierarchical planner that forces full-task reasoning before execution, a critic sub-agent that adds a reasoning layer per command, and a build-time TF-IDF RAG index over Terminal Bench oracle tasks that injects scaffold-framed hints from similar tasks. Multi-domain tasks are handled via multi-label detection — the primary domain receives a full reasoning scaffold while secondary domains contribute pitfall warnings only, preventing instruction satiation and reward hacking observed in prior ICL-heavy designs. Moreover REPL encoded design helps the agent in enhancing its complex problem skills within a single session run. A session-scoped task memory caches only verifier-confirmed command sequences, accumulating cross-task knowledge within a single evaluation run without propagating unverified patterns. MoM Purple Agent is budget friendly with average run costs $9.5/run (1 run = 89 tasks). This is in line with our quest: Can a perfect Terminal Bench 2.0 coding agent be constructed in a resource constrained setting? Apart from the REPL enhanced design, non-REPL version with DeepSeek-v4-flash costs less than $2.0 per run and was able to solve 30 out of 89 problems in a single run! Model: Gemini-3-flash-preview + DeepSeek-v4-pro + DeepSeek-v4-flash via OpenRouter · Max turns: 30 · Image: docker.io/rimodock/purple-terminal-agent:latest