为 AI agent harness 提供可观测性与强制执行。借助策略执行捕获每一次运行,并保障运行时可靠性。
agent-reliability 开源项目推荐(314 个)
agent-reliability 话题在 GitHub 上没有填写简介,这里按 Star 数汇总最相关的热门仓库。
热门项目 前 20
按 Star 数排序展示前 20 个 · GitHub 共 314 个仓库世界上第一个在LoCoMo上实现74%检索和60%零LLM的本地AI内存。没有云,没有API,也没有数据流出你的机器。此外,C模式(LLM/云端)的LoCoMo比例为87.7%。有研究支持。arXiv: 2603.14588
Auditing AI agents: a curated list of papers, tools, datasets, benchmarks, and standards covering reliability, monitoring, failure attribution, and decision records.
Agent Reliability Analyzer: deterministic scanner that finds and fixes AI agent reliability failures
The runtime reliability layer for AI agents.
Deterministic agent reliability detection rules for the Trustabl Analyzer
🔁 Build reliable recurring AI-agent systems: 1022 resources, 22 operational patterns, 22 loop contracts, 8 runtime starters, an interactive atlas, and a structured dataset.
Agent Reliability Analyzer for AWS CodePipeline and CodeCatalyst: find agent reliability issues
Scan agents and auto-remediate agent reliability issues in GitHub Actions
Lint rules for your AI agent's discipline, not its code
Agent dashboard runs reliability scans, skills, and network access probes.
Qualixar OS: The Universal OS for AI Agents. Claw-compatible. 12 topologies, Forge AI team designer, 24-tab dashboard, skill marketplace. PAPER: https://arxiv.org/abs/2604.06392
Your coding agent says done. Show the receipt. Evidence-first workflows, practical skills, and plugins for Claude Code and Codex.
Stop overpaying to run your agents. Kalibr routes every request to lower-cost model and tool paths without degrading performance.
Catch AI agents that say "done" when the task isn't. Checks agent-trace/v1 traces with claim-evidence rules, LLM judges and a trained classifier, returns verified / false_success / unverifiable with calibrated confidence, and ships a 300-trace labelled benchmark.
您的代理仍然返回正确的答案--但现在它调用了3倍的工具。Maida是人工智能代理的合并前行为回归门:基线代理跟踪、CI中的PR门、在合并前阻止行为回归。本地优先,没有云。
Audit any agent decision across its past, present, and future, on one typed graph.
ThumbGate Pre-Action Checks self-improve from ranked lessons and repeated failures, hard-block detected secret leaks, and block matches in strict mode.
Python SDK for accurate and verifiable agent tool use. Agents verify that answers came from the right source and were not changed. Downstream agents detect 100% of errors and retry to achieve a 50% jump in answer accuracy.
Open-source agent reliability platform for discovering, investigating, and fixing production agent failures
关于这个话题
- 清单取自 GitHub 话题页并按 Star 数排序,每次展示前 20 个项目;原始页面见 https://github.com/topics/agent-reliability。
- 该话题在 GitHub 上共有 314 个仓库, 本站收录的是其中最热门的 20 个,不是全量列表。
- Star / Fork 每日自动刷新一次,实时数据以 GitHub 为准。
- 当前 20 个项目累计 9266 Star,覆盖 7 种主要语言,数据更新于 2026-11-06。
- 中文介绍来自 GitHub 官方话题说明(github/explore)的机器翻译,可点「查看原文」对照;译文缺失时会先展示原文。