loopgain
PulseGate's liveness check found it on 9 Oct 2026; it is registered on GitHub and PyPI and has been in the index since 15 Jun 2026. How this is checked
LoopGain addresses the challenge of determining optimal stopping points in AI agent loops, where agents often continue iterating without a principled way to identify convergence or diminishing returns. The tool monitors agent loops in real time, analyzing the error trajectory across iterations to decide when to halt the process and retain the best output, rather than simply accepting the last iteration or relying on arbitrary iteration limits.
Inferred · not functionally tested
Overview
5 featuresPurpose: Preventing runaway costs and inefficiency in AI agent loops by automatically detecting convergence and rolling back degraded iterations.
Inferred · not functionally tested
Audience: AI developers and researchers
Inferred · not functionally tested
Functions: agents, monitoring, workflow_automation
Inferred · not functionally tested
Interfaces: API: indicated (inferred, not tested) · MCP: unknown · CLI: indicated (inferred, not tested) · Self-hosting: indicated (inferred, not tested)
Recorded constraints: pricing: open_source · license: Apache-2.0 · platforms: CLI, WEB · deployment: browser, cli, self_hosted
Constraint provenance is unknown; confirm requirements with the publisher.
Record sources: loopgain.ai · github.com. These links do not verify the individual claims.
In the Frameworks & runtimes space, loopgain takes a focused approach. Inferred · not functionally tested: It focuses on preventing runaway costs and inefficiency in AI agent loops by automatically detecting convergence and rolling back degraded iterations. Inferred · not functionally tested: It is built as an open-source project for AI developers and researchers. Basis unknown · not verified: loopgain is open source under the Apache-2.0 license. Basis unknown · not verified: It ships for the web and the command line, and it can be self-hosted.
loopgain-ai builds and maintains loopgain, and it first shipped in 2026. The project is developed in the open on GitHub with 47 commits in the last 90 days. Inferred · not functionally tested: Among its 5 catalogued features are loop convergence detection, cost control, and rollback mechanism. Inferred · not functionally tested: Catalogued interfaces include a public API.
Summary written by a language model from the project’s public pages.
Tasks: Inferred · not functionally tested
- Loop convergence detection
- Cost control
- Rollback mechanism
- Threshold band monitoring
- Best-so-far rollback
Topics: Inferred · not functionally tested
Built with & integrations
Trust & compliance
Indexing history
1What PulseGate has recorded for this listing
Frequently asked questions about loopgain
- What is loopgain?
- Inferred · not functionally tested: Loopgain focuses on preventing runaway costs and inefficiency in AI agent loops by automatically detecting convergence and rolling back degraded iterations. It is catalogued under Frameworks & runtimes on PulseGate.
- Who is loopgain for?
- Inferred · not functionally tested: loopgain is an open-source project built for AI developers and researchers.
- Does loopgain have a free plan?
- Basis unknown · not verified: Yes — loopgain is open source under the Apache-2.0 license and free to use.
- What platforms does loopgain run on?
- Basis unknown · not verified: loopgain runs on the web and the command line. It can also be self-hosted.
- Is loopgain still maintained?
- PulseGate's liveness check found it on 9 Oct 2026. Its GitHub repository shows 47 commits in the last 90 days.
- Who develops loopgain?
- loopgain is developed by loopgain-ai.
- When did loopgain launch?
- loopgain first shipped in 2026.
- Is loopgain open source?
- Basis unknown · not verified: Yes — loopgain is open source under the Apache-2.0 license, developed on GitHub.
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