Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
git clone --depth 1 https://github.com/putervision/state-memory-mcpWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/rules/putervision/state-memory-mcp/behavior-mcp)<a href="https://agentmods.dev/rules/putervision/state-memory-mcp/behavior-mcp"><img src="https://agentmods.dev/badge/rules/putervision/state-memory-mcp/behavior-mcp/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/rules/putervision/state-memory-mcp/behavior-mcp"><img src="https://agentmods.dev/badge/rules/putervision/state-memory-mcp/behavior-mcp.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00322 | $0.00322 |
| Opus 5.5 | $0.00129 | $0.00129 |
| Sonnet 5.5 | $0.00064 | $0.00064 |
| Haiku 4.5 | $0.00032 | $0.00032 |
Grade A, and why
behavior-mcp scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
Behavior Runtime Engine (behavior-mcp)
This project uses behavior-mcp with project slug "state-memory-mcp" to execute deterministic behavior trees at ~60Hz in browser runtimes with reactive triggers and safety guardrails.
Mandatory Runtime Workflow
- Load Behavior: Call
load_behavior(action: "load", behavior_name: "...")to activate execution. - Monitor Execution: Check
get_status(action: "current")and inspect active node traversal paths. - Reactive Triggers: Register high-priority emergency interrupts via
register_trigger(action: "register", ...). - Safety & Abort: Call
abort_behavior(action: "abort")to immediately halt execution if anomalous behavior occurs.
10 Core MCP Tools
load_behavior: Inject and start behavior tree execution.set_parameters: Update execution parameters on the fly.get_status: Query active status, current node path, and tick counters.abort_behavior: Immediately halt, pause, or resume execution.register_trigger: Configure priority interrupts with cooldown guards.replay_recording: Capture and replay deterministic frame actions.get_metrics: Query execution telemetry and duration statistics.manage_behaviors: Register and version behavior tree definitions with SHA-256 tree hashes.manage_blackboard: Read and write behavior tree blackboard state variables.manage_runtime_db: Database maintenance, diagnostics, and SHA-256 Merkle audit verification.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 1mo ago First seen · 24 lines · 322 tokens per session scan A 4bbaa0a1e74b
behavior-mcp is a cursor rule published in the GitHub repository putervision/state-memory-mcp (48 stars, last pushed 12d ago), licensed MIT. It adds 322 tokens to every session, about $0.0013 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-11.
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