The 6 primitives every coding agent is secretly made of — planning, filesystem, context management, sub-agents, human-in-the-loop, and tools/MCP — on a one-page checklist, plus a Deep Agents vs Claude Code decision table and the one-line setup. LangChain's Deep Agents (open source, MIT, 25,300+ GitHub stars) hands you all six out of the box so you trim down from a working agent instead of wiring one up from scratch — pointed at any model you want, including fully local on Ollama or vLLM.

Get the free Agent Harness Blueprint (the 6 primitives + decision table)

Every capable coding agent — Claude Code, Cursor, the one your team is quietly building — is made of the same six parts, and most projects waste their first month rebuilding them. This one-page blueprint names all six primitives every coding agent needs (1) PLANNING — break a big task into tracked steps; (2) FILESYSTEM — read, write, edit, search across local, sandboxed, or remote backends; (3) CONTEXT MANAGEMENT — summarize long threads and offload bulky tool output to disk; (4) SUB-AGENTS — each in its own isolated context window; (5) HUMAN-IN-THE-LOOP — gate exactly the tool calls you choose; (6) TOOLS + MCP — bring your own functions, plug in any MCP server, run the shell in a sandbox. For each, you get a one-line 'what to check' so you can audit any agent stack in minutes. Then the mental flip that changes how you build — trim DOWN from a complete, working agent instead of wiring UP from nothing — and an honest Deep Agents vs Claude Code decision table (when each genuinely wins). LangChain's Deep Agents is open source, MIT-licensed, and sits at 25,300+ stars on GitHub; Deep Agents Code is the CLI on top, installable in one curl line and pointable at any model — frontier (Claude/GPT/Gemini), open-weight (Fireworks/Baseten), or fully local on Ollama, vLLM, or llama.cpp for zero per-token cost and full privacy. Includes the exact install command, your first prompts, and where it sits on create_agent + LangGraph.

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