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putervisionputervision/behavior-mcp/docs/llms.txt

behavior-mcp

llms.txt24 starsChanged 47 days agoMITView on GitHub

High-Frequency (~60Hz) In-Browser Behavior Tree Execution Engine for AI Agents @putervision/behavior-mcp executes deterministic behavior trees directly in browser runtimes at 60Hz. It bridges cognitive reasoning decisions with deterministic low-latency action sequences, featuring reactive interrupt triggers, frame recordings, telemetry analytics, and multi-layer safety guardrails. Non-claims statement: Functional agency and closed-loop automation — not consciousness, sentience, or AGI.

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llms.txt
# @putervision/behavior-mcp

> High-Frequency (~60Hz) In-Browser Behavior Tree Execution Engine for AI Agents

`@putervision/behavior-mcp` executes deterministic behavior trees directly in browser runtimes at 60Hz. It bridges cognitive reasoning decisions with deterministic low-latency action sequences, featuring reactive interrupt triggers, frame recordings, telemetry analytics, and multi-layer safety guardrails.

## Core Capabilities
- **60Hz Browser Tick Loop**: Injectable standalone executor running sequences, selectors, decorators, and leaf actions.
- **Immutable Behavior Trees**: Registered JSON definitions verified with SHA-256 `tree_hash`.
- **Reactive Interrupt Triggers**: Priority preemption with cooldown guards preventing interrupt storms.
- **Telemetry & Recordings**: Frame-by-frame capture with adaptive playback and duration metrics.
- **5-Layer Safety Stack**: Watchdog monitor, rate limiter (max 60 actions/sec), leaf policy gate, kill switch, and origin allowlists.

## 10 Consolidated MCP Tools
1. `load_behavior`: Inject and start behavior tree execution in browser runtime.
2. `set_parameters`: Update execution parameters on the fly.
3. `get_status`: Query active status, current node path, and tick counters.
4. `abort_behavior`: Immediately halt, pause, or resume execution.
5. `register_trigger`: Configure priority interrupts with cooldown guards.
6. `replay_recording`: Capture and replay deterministic frame actions.
7. `get_metrics`: Query execution telemetry and duration statistics.
8. `manage_behaviors`: Register and version behavior tree definitions with SHA-256 tree hashes.
9. `manage_blackboard`: Read and write behavior tree blackboard state variables.
10. `manage_runtime_db`: Database maintenance, diagnostics, and SHA-256 Merkle audit verification.

*Non-claims statement: Functional agency and closed-loop automation — not consciousness, sentience, or AGI.*

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