No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by loopgain-ai · Agent Tool · ★ 124
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LoopGain An open-source cost controller for AI agent loops. AI agent loops waste time and money when they don't know when to stop. LoopGain measures the loop in real time and stops it the moment it has actually converged — and rolls back before it degrades — instead of running to a fixed cap. Benchmark — 2,000 paired trials across 10 workload cells (run it yourself): - 92.8% less API spend than — $27.05 → $1.94 in total benchmark spend - 15× faster — median wall-clock per trial 30.9s → 2.1s - Quality preserved, not traded for speed — judge win-rate 0.50–0.63 on natural-distribution workloads (W1–W4, CI excluding null on most cells), 0.92–0.95 on engineered-failure workloads (W5); 0.678 weighted preference across 1,800 judge comparisons - Zero of six kill criteria fired (all six pre-registered with thresholds before the run) Honest limits, up front: LoopGain detects convergence, not correctness — it knows when more iterations won't help, not whether the answer is right, and it's only as good as the verifier behind your error signal. The full list of what it can't do → [. Anth
Automated loop driver, slash commands, council automation, MCP browser bridge, and portfolio governance for Cl
The open-source memory and observability layer for AI agents — persistent memory, loop detection, hash-chained
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loopgain is An open-source cost controller for AI agent loops — stops a loop when it's actually converged and rolls back before it degrades, instead of running to a fixed max_iterations cap. Real-time loop-gain (. It is categorized as a Agent Tool with 124 GitHub stars.
loopgain is primarily written in Python. It covers topics such as agent-orchestration, agentic, agentic-ai.
You can find installation instructions and usage details in the loopgain GitHub repository at github.com/loopgain-ai/loopgain. The project has 124 stars and 10 forks, indicating an active community.
loopgain is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
The top alternatives to loopgain on Agent Skills Hub include eval-view, oreilly-ai-agents, agentic-ai-engineering. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. It is a first-layer scan, not a manual audit — we say so rather than overstate it.
The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.
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