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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.
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84 % |
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Find recurring agent failures and turn them into evals · Perseval
Perseval is a local-first observability tool that finds recurring failures across agent traces, shows the exact evidence, and turns verified patterns into re...
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84 % |
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Promtact - reproducible verification for distributed systems
Turn rare distributed-system failures into deterministic tests your team can replay locally, in CI and inside its own infrastructure.
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82 % |
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Chanly
The agent platform that shows you everything. Visual, open, controllable, transparent — built for SMBs and AI startups.
|
82 % |
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agentling · The agent framework you can read in one sitting
A tiny async framework for reliable, observable, tool-using agents.
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82 % |
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Tracefold — fork() a running agent. Replay it deterministically.
Tracefold is a fork-native microVM runtime for agent execution and RL rollouts. Snapshot, fork, branch, and deterministically replay a running execution.
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82 % |
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Bitfab
Agent replay infrastructure. Capture call stacks from any point in your code and replay them dynamically.
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81 % |
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ConeReplay — Pre-deploy regression testing for AI agents
Pre-deploy regression testing for multi-agent AI. Replay prompt, model, and agent changes against recorded production traces. Patent pending.
|
81 % |
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Ontral — Replay and Debug Production AI Agents
Ontral captures AI-agent executions into deterministic capsules so teams can replay failures, find the first divergence, test counterfactuals, prevent regres...
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81 % |
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WeaveFlow | Build inspectable agent workflows in Go
WeaveFlow is a graph runtime written in Go for building, executing, and inspecting LLM agent workflows.
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81 % |
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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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81 % |
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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...
|
80 % |
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Pareto — Agent Observability
Pareto shows engineering teams exactly what their AI agent did — and what to fix first. Every trace comes back scored, risk-flagged, and with ranked recommen...
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80 % |
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DataPulse | Machine vision shouldn't end with Pass or Fail
DataPulse transforms Cognex machine vision systems into connected sources of manufacturing intelligence, capturing inspection images, metadata, and audit tra...
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80 % |
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Sentinel.AI — The Control Plane for AI Agents
Logging tells you what broke. Sentinel stops it before it breaks — and lets you replay from a checkpoint without restarting the pipeline.
|
80 % |
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cycgraph — Agentic orchestration that loops
Production-grade agentic orchestration built on a Cyclic State Graph. Build multi-agent workflows that loop, branch, recover, and evolve — durable, auditable...
|
80 % |
|
RunAgain: The self-improving loop for AI agents
RunAgain traces every agent run in production, scores what changed, and turns every issue into a test. Works with the Vercel AI SDK, Claude Agent SDK, MCP an...
|
80 % |
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Halffield — Ask the field anything
An agentic OS for drug discovery. The full Design–Make–Test–Analyze loop, run by a governed AI workforce on one auditable system of record.
|
80 % |
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Clausa — data observability that explains itself
Self-hostable data observability: when a table breaks, an AI agent investigates and delivers a root-cause analysis where every claim is verified against real...
|
80 % |
|
Trail — Evaluate, observe, and ship agents that work.
Trail traces every step your agents take and scores every run — observability, evaluation, and experiments in one platform.
|
80 % |
Detected social media networks