agent-reliability

Observability and enforcement for AI agent harnesses. Capture every run and runtime reliability with policy enforcement. 40 built-in policies, a local dashboard, no account required with a generous free cloud plan

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: 974 resources, 22 operational patterns, 22 loop contracts, 8 runtime starters, an interactive atlas, and a structured dataset.

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

Fix agent reliability issues across Claude, OpenAI, Google ADK, MCP, LangChain, CrewAI, AutoGen, Pydantic AI, and Vercel AI.

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

Your agent still returns the right answer -- but now it calls 3x the tools. Maida is the pre-merge behavioral regression gate for AI agents: baseline agent traces, gate PRs in CI, block behavior regressions before merge. Local-first, no cloud.

Fix agent reliability issues in CI across Claude Agent SDK, OpenAI Agents SDK, Google ADK, MCP, LangChain, LangGraph, CrewAI, AutoGen AG2, Pydantic AI, and Vercel AI.

ThumbGate Pre-Action Checks self-improve from ranked lessons and repeated failures, hard-block detected secret leaks, and block matches in strict mode.

Audit any agent decision across its past, present, and future, on one typed graph.

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.

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.

Agent workspace architecture — the reference implementation of an agent-ready memory layer, demonstrated end-to-end in Claude Code: roles library, typed memory, hooks, scheduled agents, self-audits, loop selection, measurement-gated self-improvement. Interactive tour, fork-ready samples.

Run the Trustabl agent reliability scanner in AWS CodePipeline and Amazon CodeCatalyst.

MemoGuard: An Adaptive Runtime for Guarding Against Memory Traps in Communication-Limited Robot Navigation

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

Run the Trustabl agent reliability scanner in Azure Pipelines.