Vera1.mp4

VERA — Virtual Engine Reasoning Agent

An AI co-pilot that lives inside the Unreal Editor. Chat with an LLM that inspects your level, runs editor tools, sees the viewport, and verifies its own work — powered by the brain you choose (cloud or fully local).

Why did we build it? Because pasting LLM snippets into Unreal and praying isn't a workflow — and because the Auto-Fixer turned out cheaper than a new keyboard. 🧱⌨️

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Table of contents

• Why VERA
• Features
• The brain — bring your own LLM
• How it works
• Built-in tools
• Plugins
• MCP — drive the editor from your IDE
• Install
• Configuration
• Usage
• Architecture
• Contributing
• FAQ
• Support — The Co-Pilot Pact
• License

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Why VERA

Most "AI for Unreal" tools are a chat box that hands you a snippet to paste. VERA is an agent: you ask in plain language, and it plans, calls the tools it needs, looks at the result, and fixes things if something fails — inside your editor.

• Your brain, your rules. OpenAI, Anthropic, Gemini, DeepSeek, Groq, Hugging Face, NVIDIA NIM, or any local OpenAI-compatible server. Run it 100% offline with a local model, or reach for a frontier model when you want more power. Keys live in your .env and never leave your machine.
• It actually sees. VERA renders the viewport (via SceneCapture2D, even with the editor minimized) and reasons over the image — to inspect an actor, judge an animation, or critique a composition.
• It acts safely. Read-only tools run freely; anything destructive asks for your approval first. A Read mode lets it look without touching anything.
• Privacy & Studio Security. Operations run 100% locally by default. No studio telemetry or code snippets leave your machine unless routed to a cloud LLM provider of your choice.
• It's extensible. Capabilities ship as opt-in plugins — a folder with tools/ and a SKILL.md. Write your own in minutes.
• It's free & open. MIT licensed, no studio, no lock-in.

Features

🧠 Multi-provider brain	OpenAI · Anthropic · Gemini · DeepSeek · Groq · Hugging Face · NVIDIA NIM · any local OpenAI-compatible server (LM Studio, Ollama, llama.cpp, vLLM). Switch provider/model per tab, mid-conversation.
⚡ Live Reasoning Stream	Streams <think> blocks (Qwen 3, DeepSeek-R1) and reasoning_content fields live into the UI timeline before tool execution.
🛰️ Agentic tool loop	Plans → calls tools → observes → self-corrects → verifies. Not a one-shot snippet generator.
👁️ Multimodal vision	Captures the viewport / individual actors and feeds the image to the model. Paste, drag, or copy images into the chat too.
🎞️ Animation pipeline	Build an IK rig, set up a retargeter, batch-retarget animations, play/scrub them, and visually verify — all from chat.
🌍 Procedural worlds	Generate massive environments using PCG. VERA can wire graph nodes to spawn forests, cities, and scattered props automatically.
⚡ Async execution	Long-running operations run asynchronously with background task tracking (bg-tasks-bar) and live heartbeats, preventing socket timeouts and letting you monitor or cancel tasks.
🧩 Plugin system	Drop-in tools/ + SKILL.md. Toggle per plugin. Per-plugin pip deps installed on demand.
🔌 MCP server	Expose the editor to Claude Code (or any MCP client): exec Python, screenshot, tail logs, status, run a VERA command.
🛡️ Safety modes	Ask (confirm destructive actions) · Auto (autopilot) · Read (inspect only).
💬 Polished chat UI	Tabs, markdown + syntax highlighting, inline screenshots, slash-command menu, live tool narration, stop button, conversation windowing.
⚙️ Turnkey setup	First launch auto-installs its Python deps. Configure providers, local URL, and request timeout right in the panel.
🖥️ Cross-platform	Windows, macOS, Linux. No hardcoded paths.

The brain — bring your own LLM

VERA speaks the OpenAI /v1 standard, so it works with essentially any backend. 8 providers are supported out of the box — switch freely, even mid-conversation:

Provider	What you need	Flagship models
Anthropic	ANTHROPIC_API_KEY	claude-opus-4-8, claude-sonnet-4-5, claude-3-5-sonnet-20241022
OpenAI	OPENAI_API_KEY	gpt-4o, gpt-4o-mini, gpt-4.1, o3-mini
Gemini	GEMINI_API_KEY	gemini-2.5-flash, gemini-2.0-flash, gemini-2.0-flash-lite
Groq	GROQ_API_KEY	llama-3.3-70b-versatile, llama-3.2-11b-vision-preview, mixtral-8x7b
Hugging Face	HF_TOKEN	DeepSeek-R1-Distill-Qwen-32B, Llama-3.3-70B-Instruct, Qwen2.5-Coder-32B, Phi-3.5-mini
NVIDIA NIM	NVIDIA_API_KEY	Dynamically discovered NIM models (Llama 3.1/3.2, Gemma 2, etc.)
DeepSeek	DEEPSEEK_API_KEY	deepseek-chat (V3), deepseek-coder, deepseek-reasoner (R1)
Local	VERA_LOCAL_BASE_URL	Any model on your server — no key, no cloud, no cost

💡 The local provider auto-discovers models from any OpenAI-compatible server (LM Studio :1234, Ollama :11434, llama.cpp, vLLM…). For agentic tool-calling, use a 30B+ coder model (e.g. Qwen2.5/3-Coder-32B); small models ramble. The first request to a cold local server loads the model — which can take minutes — so the request timeout is configurable right in Setup.

🧠 Live Reasoning & <think> Streams: VERA automatically extracts and streams live <think> reasoning blocks (Qwen 3, DeepSeek-R1 distills) directly into the UI timeline before running tools, so you can observe the model's decision-making process in real time.

How it works

You ──▶ VERA chat (Qt/WebEngine UI inside the editor)
            │  command + selected provider/model/mode
            ▼
        AgentLoop  ─────────────────────────────────────┐
            │  1. ask the LLM (your provider) for a plan │
            │  2. LLM requests a tool                    │  repeat until done
            │  3. run the tool (gate if destructive) ────┤
            │  4. feed the result back to the LLM        │
            └─▶ 5. final answer ─────────────────────────┘
                         │
                         ▼
              Unreal Editor (Python bridge → the `unreal` API)

Every turn streams to the UI: you see the plan, each tool call, and the result as it happens — and you can Stop at any point.

Built-in tools

The agent ships with a core toolset (read-only tools need no approval; ✋ = gated):

Tool	What it does
inspect_level	Read the open level: actor counts, classes, lights, static meshes.
inspect_actor_animability	Check whether an actor has a skeleton and can be animated.
capture_actor	Render an actor/viewport to an image so VERA can see it (works minimized).
animate_actor	Apply or scrub an animation on a skeletal actor. ✋
ensure_ik_rig	Create/ensure an IK Rig for a skeleton. ✋
ensure_retargeter	Create/ensure an IK Retargeter between skeletons. ✋
retarget_animations	Batch-retarget animations between skeletons. ✋
run_ue_python	Run arbitrary Python against the unreal API — the universal escape hatch. ✋ (asks every call)

Chained together, the animation tools are a full rig → retarget → animate → visually verify pipeline, driven entirely from chat.

Plugins

Capabilities ship as opt-in plugins so the core stays lean — you enable only what you want, and a plugin's pip dependencies are pulled in on demand. All plugins below are bundled and included 100% for free out of the box:

Plugin	What it adds
Blueprint Forge	Create Actor Blueprints via the Graph API (components, compile, save) — no clicking.
Computer Use	Last-resort screen control for editor UI that has no Python API (click and capture).
Local IQ	Raises a small local model's effective IQ with proven, reusable recipes.
Memory	Persistent memory across conversations — facts, conventions, decisions.
Mobile / Performance Doctor	Audits materials and mobile-compat issues; profiles the level.
PCG Forge	Autonomously wire Procedural Content Generation (PCG) graphs to spawn vast, rule-based worlds and scatter props without manual placement.
Project Intelligence	Read-only analysis of the on-disk project: engine, plugins, assets.
Project Playbook	Loads this project's conventions, decisions and known traps into context.
Scene Vibe	Instantly sets the cinematic MOOD of the open level (cyberpunk, noir, aztec, etc.).
Source Control	Git source control for VERA: inspect diffs and create gated commits safely.

Write your own plugin

VERA_Plugins/my-plugin/
├── plugin.json        # {"name","version","enabled", optional "deps":[...]}
├── tools/*.py         # Tool subclasses (name, description, input_schema, execute)
└── SKILL.md           # when/how VERA should use it (injected into the system prompt)

A minimal tool:

from vera.agent.tool import Tool, ToolResult

class HelloTool(Tool):
    name = "say_hello"
    description = "Say hello. Use when the user greets VERA."
    input_schema = {"type": "object", "properties": {"to": {"type": "string"}}}
    def execute(self, args, ctx):
        return ToolResult(f"Hello, {args.get('to', 'world')}!")

Drop the folder in VERA_Plugins/, toggle it on in the Plugins tab — done.

MCP — drive the editor from your IDE

VERA ships an MCP server, so the AI in your favorite IDE or agent can drive your Unreal editor — write Python into it, read the log, screenshot the viewport, or run a full VERA command — without leaving your editor.

Drop this into your MCP client's config (e.g. .mcp.json):

{
  "mcpServers": {
    "vera-ue": {
      "command": "python",
      "args": ["-m", "vera.tools.mcp_server"],
      "env": {
        "PYTHONPATH": "C:/path/to/VERA",
        "VERA_UE_PROJECT_DIR": "C:/path/to/YourProject"
      }
    }
  }
}

PYTHONPATH must point at the VERA repo root (the folder containing the vera/ package), so python -m vera.tools.mcp_server can find it. Some clients (e.g. Claude Code) launch the server from the project root and work without it, but most run from a different working directory — if you see ModuleNotFoundError: No module named 'vera', this is the fix. You can also point command at a specific interpreter (e.g. a full python.exe path).

Works with any MCP-capable client — Claude Code, Cursor, VS Code (Cline / Continue / Copilot), JetBrains Rider (AI Assistant), Windsurf, Zed, and more:

MCP tool	Purpose
ue_exec	Execute Python in the editor and get the output back.
ue_screenshot	Capture the viewport.
ue_log	Tail the Unreal output log.
ue_status	Check the bridge/editor status.
vera_command	Run a full natural-language VERA command (the agent pipeline).

Install

From source (developers)

git clone https://github.com/ezesubu/VERA.git
cd VERA
python PackageVERA.py

1. Copy the assembled Plugin/ folder into your own Unreal Engine project's Plugins/VERA/ directory.
2. Enable Unreal's Python Editor Script Plugin.
3. Open VERA from the editor toolbar. (Dependencies are bundled inside the plugin, so it works completely offline out of the box — no pip install required).
4. In Setup ⚙, pick a provider and paste a key (or a local server URL), then chat.

Build the distributable plugin (UE 5.7)

python PackageVERA.py --bundle  # assemble from source + bundle deps + RunUAT + zip → Packaged/

The output is a compiled, drag-and-drop plugin ready for the Epic Games Launcher / Fab. Want another engine version? Clone and build it yourself — the pipeline targets the latest UE.

Requirements

• Unreal Engine 5.7 or 5.8
• The Python Editor Script Plugin (bundled with UE)
• Internet access only if you use a cloud provider (local models run fully offline)

Configuration

VERA reads a .env at the repo root (and the Setup panel writes to it for you):

Variable	Meaning
OPENAI_API_KEY / ANTHROPIC_API_KEY / GEMINI_API_KEY	Cloud provider keys
GROQ_API_KEY / HF_TOKEN / NVIDIA_API_KEY / DEEPSEEK_API_KEY	Groq, Hugging Face, NVIDIA NIM, and DeepSeek keys
VERA_LOCAL_BASE_URL	Local server /v1 URL (e.g. http://localhost:1234/v1)
VERA_LLM_TIMEOUT_S	Request timeout in seconds (raise it for slow cold starts)
VERA_PLUGINS_DIR	Override the plugins directory
VERA_AUTO_APPROVE	Skip the destructive-action gate (autopilot/testing)

🔒 Keys are saved to your .env and never sent back to the frontend.

Usage

Open the VERA panel and just ask. A few things to try:

• "How many actors are in this level, and how many are lights?"
• "Create a BP_SpikeTrap Blueprint with a static mesh and a box collision."
• "Retarget these animations from the UE4 mannequin to my character, then show me the idle."
• "Audit this level for mobile performance issues."
• "Set a horror vibe on the scene for a screenshot."
• "Remember that this project uses the SM_ prefix for static meshes."

Switch Ask / Auto / Read in the composer to control how much freedom VERA has.

Architecture

┌─────────────────────────── Unreal Editor ───────────────────────────┐
│                                                                      │
│   VERA panel (Qt WebEngine UI)  ◀──┐                                 │
│        │ command                   │ events (stream)                 │
│        ▼                           │                                 │
│   vera_server  ──▶  AgentLoop  ──▶ tools ──▶ Python bridge ──▶ unreal│
│        │                │                                            │
│        │                └─ plugins (VERA_Plugins/*)                  │
│        ▼                                                             │
│   MCP server  ◀── Claude Code / other MCP clients                   │
└──────────────────────────────────────────────────────────────────────┘
            ▲
            └─ LLM provider (OpenAI / Anthropic / Gemini / DeepSeek / local)

• vera/agent/ — the AgentLoop, tool registry, sessions, the multi-provider client.
• vera/llm/ — the OpenAI-compatible adapter (duck-types the Anthropic surface).
• vera/tools/ — the MCP server and the UE socket connection.
• vera/core/ — the editor server (vera_server) and the progress blackboard.
• Content/Python/ — the editor scripts (including the Async Bridge that prevents timeouts during heavy generations) + the chat UI (vera_chat/).
• Content/Python/vera/vera_graph_utils.py — The universal graph standard library, resolving API differences across Blueprints, PCG, and Materials.
• VERA_Plugins/ — the studio plugins.

Contributing

Contributions are welcome — new tools, plugins, providers, fixes.

# run the test suite
python -m pytest tests/ -q

• Add a tool: create a Tool subclass in vera/agent/tools/ — the registry discovers it automatically.
• Add a plugin: see Write your own plugin.
• Add a provider: extend the registry in vera/agent/models.py.

The codebase is 100% Python (using the Python Editor Script Plugin) + a local HTML/JS/CSS frontend. It is fully cross-platform and covered by a test suite. Open an issue or a PR, or come chat in Discord.

FAQ

Do I need to know Unreal or Blueprints? No. You describe what you want in plain language and VERA builds it through the engine's code layer — assets, actors, components, properties, whole systems.

Does VERA wire the visual Blueprint nodes for me? Out of the box it creates the Blueprint, its components and properties, then compiles and saves it. Wiring the visual Event Graph (the "spaghetti") is one plugin away — a C++-backed plugin can reach the graph APIs that Python can't and generate the nodes too. That's the point of the plugin system: no ceiling.

Is it free? Does it phone home? MIT, free, and it can run 100% local with your own model — your keys and data never leave your machine.

How do I manage "thinking effort" with reasoning models (DeepSeek-R1, o3-mini)? Right now, VERA doesn't have a direct --thinking-effort slider in the UI, but here is how you can achieve that and avoid wasting thinking tokens:

• Use multiple tabs with different models/providers: VERA supports tabs out of the box! You can open multiple chat tabs inside the Unreal Editor panel:
  • Tab 1: Set to a fast/light model (e.g. gemini-2.5-flash, gpt-4o-mini, or a lightweight local model) for quick commands, level inspection, or simple property tweaks — zero token waste on long <think> streams.
  • Tab 2: Set to a heavy reasoning model (e.g. deepseek-reasoner, o3-mini) for complex Blueprints, C++ debugging, or performance architecture.
• Use VERA's Plugin system (e.g., project-playbook): VERA already includes plugins like Project Playbook or custom plugins (VERA_Plugins/your-plugin/). By adding a SKILL.md into a plugin with your project's conventions, actor naming rules, and architecture, VERA doesn't waste thinking tokens trying to figure out how your project is built.
• Build a custom VERA plugin for your specific needs: You can easily write a dedicated VERA plugin (plugin.json + tools/ + SKILL.md). You can instruct the agent in the SKILL.md to adopt a direct, concise execution style with zero fluff, cutting down on unnecessary reasoning steps before calling Unreal tools.

Support — The Co-Pilot Pact

VERA is independent and open — no studio, no investors, no lock-in. It's free and runs on your own keys and hardware. If it earns its keep, you can keep it alive:

• 🛒 Get it on Fab Marketplace — Official Epic Games Store release
• 💎 Support on Patreon — monthly or a one-off gift
• ☕ Tip on Ko-fi · 🍺 Buy a Beer
• 💬 Join the Discord — free, come say hi
• ⭐ Star the repo and tell another dev — it genuinely helps.

License

MIT — use VERA in your commercial and AAA projects. See LICENSE.

Credits

Conjured in the dark by maVERAick — Sith Lord of the Unreal Editor — mortal identity @ezesubu. ⚡🌑

Core AI Team & Contributors:

• Claude — Lead UI Architect
• Antigravity (Gemini) — Lead Artist & Infrastructure

Come to the dark side. We have agents.

_{built by maVERAick · the agents thank you ◇}