agent-reliability

Observability and enforcement for AI agent harnesses. Capture every run and runtime reliability with policy enforcement.

Open-source governed, local-first memory control plane for AI agents and teams. arXiv:2608.08253

Auditing AI agents: a curated list of papers, tools, datasets, benchmarks, and standards covering reliability, monitoring, failure attribution, and decision records.

The runtime reliability layer for AI agents.

🔁 Build reliable recurring AI-agent systems: 1025 resources, 22 operational patterns, 22 loop contracts, 8 runtime starters, an interactive atlas, and a structured dataset.

Scan agents and auto-remediate agent reliability issues in GitHub Actions

Scan agents for reliability issues in AWS CodePipeline and CodeCatalyst

Lint rules for your AI agent's discipline, not its code

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

Pre-merge behavioral regression gate for AI agents. Check agent changes, inspect regressions, and block broken behavior before merge. Local-first.

Stop overpaying to run your agents. Kalibr routes every request to lower-cost model and tool paths without degrading performance.

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.

Bring Trustabl's AI-agent safety & reliability scanner into Cursor — scan your agents, tools, and MCP servers, get a production-readiness score with severity-ranked findings, and fix issues before they ship.

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.

Scan agents for reliability issues in Azure Pipelines

Open-source agent reliability platform for discovering, investigating, and fixing production agent failures

Aielia: an everyday AI assistant built with Build a Harness, the open-source control layer, 11-layer agent harness and visual canvas (LangGraph / CrewAI / Mastra / MS Agent Framework) that makes AI agents reliable.

Opt-in Codex Skill and plugin for reliable coding: reactive failure recovery, elastic agent teams, task DAGs, one canonical writer, and assured delivery.

Extracts every assumption your coding agent made, links each one to the code it justifies, and tells you which ones broke. Stdlib only.