A 3D point cloud descriptor for place recognition
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Updated
May 6, 2023 - C++
A 3D point cloud descriptor for place recognition
ICRA 2021 - Robust Place Recognition using an Imaging Lidar
The open-source memory operating system for AI agents. Persistent memory, semantic search, loop detection, agent messaging, crash recovery, and real-time observability.
Benchmarking and evaluation framework for place recognition methods, featuring SuperPoint+SuperGlue, LoGG3D-Net, Scan Context, DBoW2, MixVPR, STD
Offline manual loop closure editing and optimization tools for LiDAR mapping pose graphs. 用于激光雷达建图位姿图的离线手动闭环编辑与优化工具。
LIO-SAM-6AXIS with intensity image loop optimization
Light-weight place recognition and loop detection using road markings
LiDAR place recognition. For fast python support.
A MCP server implementing the Dual-Cycle Metacognitive Reasoning Framework for autonomous agents. A loop prevention and experience recall mechanism.
Graph Algorithm Implementation in JavaScript
用于在MATLAB中使用DBOW3算法做SLAM回环检测/图像相似度检测/图像检索
A dynamic loop detection tool based on Intel Pin
MCP server that detects AI fix loops and forces course correction. Error fingerprinting + fix similarity analysis + escalating intervention.
Few interesting LLVM passes for compiler optimizations
Your AI agent just burned $200. AgentGuard stops it at $5. Runtime cost guardrails for AI agents — budget enforcement, loop detection, kill switch. Zero dependencies, MIT licensed.
UnitCause is a real-time cost governance platform for AI agents. It provides budget enforcement, loop detection, cost analytics, and policy management via a web dashboard, REST API, and Python SDK. Set budgets, stop runaway agents, and monitor spending with ease.
Pretty print for singly linked lists with loop detection
Behavioral drift detection for LLM agents — catch vocabulary loss, tool changes, loops, and stagnation before they break production.
Collapse and persistence in purpose-bearing systems. The observer opens doors.
A switching (bridge) loop detection by a broadcast storm
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