Behavior Runtime MCP
In-browser ~60Hz behavior tree execution engine with reactive triggers and blackboard projection.
- Star
- 12
- 分类
- 浏览器
- 版本
- v0.4.1
- 许可证
- MIT
- 最近提交
- 2026年10月3日
README
在 GitHub 上查看@putervision/behavior-mcp
High-Frequency (~60Hz) In-Browser Behavior Tree Tactical Runtime Engine for AI Agents
@putervision/behavior-mcp is a Model Context Protocol (MCP) server that executes deterministic behavior trees directly in browser runtimes at ~60Hz with reactive trigger preemption, frame recordings, SHA-256 Merkle audit chains, and a 5-layer safety guardrail stack.
🌐 Official Documentation: putervision.com • Interactive Web Docs
⚡ 15-Second Quick Start
# 1. Initialize runtime & seed default behavior trees in your workspace
npx @putervision/behavior-mcp init
# 2. Run system diagnostic and health checks
npx @putervision/behavior-mcp doctor
# 3. Inspect active executions, blackboard state, and reactive triggers
npx @putervision/behavior-mcp inspect
🛠️ 10 Core MCP Tools
| Tool | Actions | Purpose |
|---|---|---|
load_behavior | load, unload, swap | Inject, initialize, or hot-swap a behavior tree in browser runtime |
set_parameters | set, get, reset | Dynamically update or query runtime execution parameters |
get_status | current, history, tree_state | Query active status, node traversal path, tick count, duration |
abort_behavior | abort, pause, resume | Halt, pause, or resume behavior execution safely |
register_trigger | register, list | Configure reactive interrupt triggers with priority preemption |
replay_recording | capture, list | Capture or inspect deterministic browser action sequences |
get_metrics | current, history | Retrieve runtime telemetry, tick durations, and stuck events |
manage_behaviors | register, get, list | CRUD for immutable behavior tree JSON with SHA-256 tree hashes |
manage_blackboard | get, set | Read, write, or query shared behavior tree blackboard variables |
manage_runtime_db | stats, audit, snapshot, restore | SQLite diagnostics, SHA-256 Merkle audit, and checkpoint rollback |
🛡️ 5-Layer Safety Guardrail Stack & System 1 Invariants
- Fail-Closed Evaluator: Unrecognized node definitions throw fatal exceptions immediately.
- 60Hz Tick Invariant & Synchronous
semantic_check: The loop never blocks on external network calls; semantic condition checks resolve synchronously against blackboard caches. - HMAC Intention Gate Verification: Intentions dispatched to execution nodes require unexpired, cryptographically signed dispatch tokens (
PENTAD_HMAC_SECRET). - Action Rate Limiter & Leaf Policy Gate: Strict 60 actions/sec maximum throughput ceiling and policy guardrails blocking irreversible mutations.
- Emergency Kill Switch & Watchdog Heartbeat: Atomic safety latch and watchdog timers halting execution if tick stalls beyond 5,000ms.
📚 Deep Documentation Guides
- 📖 Formal API Reference: Full parameter tables, type definitions, and tool schemas.
- 💡 Core Architecture & Concepts: Behavior tree execution model, ~60Hz loop, and trigger lifecycle.
- 🖥️ CLI Usage Guide: Complete CLI command reference (
init,doctor,inspect,run). - 💾 Database Schema: SQLite table structures, indexes, and Merkle audit ledger.
- ⚙️ Configuration Reference:
.behavior-mcp.jsonparameters and environment variables.
🔗 Client Configuration & Environment
Add to .cursor/mcp.json or .vscode/mcp.json:
{
"mcpServers": {
"behavior-mcp": {
"command": "behavior-mcp",
"args": ["run"],
"env": {
"PENTAD_HMAC_SECRET": "your-secure-shared-secret-here"
}
}
}
}
🧪 Testing
# Run full unit and integration test suite across 38 test files (266 tests)
npm test
📄 License
MIT © PuterVision
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