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Automatic recovery for repeat server incidents | AgentPulse
Detect supported recurring server failures, run only approved recovery actions, verify the result, and escalate uncertainty instead of guessing.
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82 % |
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Conseqa — Observe the trace. Verify the consequence.
Outcome verification for AI agents that change external systems. Conseqa records the intended change before the call and independently verifies the result af...
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82 % |
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Afterstate — Every agent action, verified
When an agent's write times out, it retries blind or reports a false failure. Afterstate checks the system of record first — verified receipts, no duplicates...
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81 % |
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Veractly — Let agents act. Know the verified outcome.
Verify consequential agent actions across business systems. Apply policy, inspect the evidence, and recover when the external outcome diverges across your st...
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81 % |
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Assevra — Find agent failures before your users do
Open-source agent evaluation with actionable findings, explicit release gates, and portable evidence. Connect captured runs, fix failing cases, and verify th...
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81 % |
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Struxum · AI Action Reliability
Struxum is the reliability layer between AI agents and the external systems they change, making consequential actions safe to execute, retry, verify and reco...
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81 % |
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Runtrail - Incident Response for AI Agents
Trace every agent run, replay failures deterministically, and block regressions before they ship. Works across any model, framework, or runtime.
|
80 % |
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SelectAgent Verify | Outcome verification for agents
Check whether an agent's intended action actually happened. SelectAgent Verify compares expected outcomes with receiving-system evidence and returns a bounde...
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80 % |
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remit.sh
The intent layer for AI agents. Remit gives every agent session a declared scope and checks every tool call against it — so off-task work can't reach what it...
|
80 % |
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TraceDojo — Agent testing
Run controlled failures against your agents. Inspect every action and compare the fix.
|
80 % |
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Invariant — Pre-execution validation for production agents
Invariant is the pre-execution control layer for production agents. It blocks bad tool calls by validating every action against shared world state before exe...
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79 % |
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null.select — Safe continuity for effectful agents
A provider-neutral control plane that reconciles effects, fences stale authority, and safely resumes agent work.
|
79 % |
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SafeRun — Stop risky AI agent actions before they execute
SafeRun sits before tool calls like refunds, emails, database writes, CRM updates, payments, and internal APIs. Pause, block, or request approval — then repl...
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79 % |
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ActionSure | Contact-center workflow assurance for AI customer-service agents
ActionSure is contact-center workflow assurance for AI customer-service agents. Test whether agents safely complete refund, billing, escalation, and case-clo...
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79 % |
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RunBoth: find out what your refactor actually changed
RunBoth runs both versions of your code on generated inputs and reports what actually behaves differently, including the functions nobody touched. A commit g...
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79 % |
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Rewyn
Rewyn is a flight recorder for AI agents: record every run, replay a failure exactly with no provider call, diff it and turn it into a regression test. Works...
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79 % |
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Horizon Orchestra
Verify business actions and recovery across multi-step AI workflows. Independent read-back checks, stable retries, and a Rust verification engine.
|
78 % |
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AI Agent Regression Testing for Tool-Using Agents | Konsista
Catch AI agent regressions before release. Repeat mocked tool-use scenarios to expose skipped approvals, wrong targets, missing tools, and duplicate actions.
|
78 % |
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Vectorbea - Durable Agentic AI Workflows
Build and run durable, long-running AI agent workflows — with checkpoints, automatic retries, human approvals, live observability and resume-from-failure rec...
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78 % |
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Decree
Centralized approval workflows for AI agents and automation.
|
78 % |
Detected social media networks