|
Trelo — Trust Middleware for AI Agents
Deterministic runtime safety and security layer for AI agents. Stop infinite loops, block duplicate payments, prevent security attacks, and slash token waste...
|
80 % |
|
Pentrack.io
Pentrack.io gives startups penetration testing, red teaming, TLPT, continuous monitoring and compliance evidence under one flat, affordable plan.
|
79 % |
|
RakanLabs - Your Friendly Neighbourhood Techies
I build AI systems that run in production and deliver measurable results. Not demos. Not research. Systems you can rely on.
|
79 % |
|
Loguro | The Log Operating System
The Log OS. Query 50M logs in under 500ms with human-readable syntax. Replay incidents chronologically, detect recurring patterns forever, and act — create J...
|
79 % |
|
Skialith — Durability layer for AI agents
NATS JetStream write-ahead log + batched database persistence. 7x faster than checkpointing directly to a database. Free to self-host.
|
79 % |
|
tracebase.ink - Agents that learn from every run.
TraceBase turns solved work into reusable memory, so production agents carry what worked into the next task.
|
79 % |
|
Angel Hermon — Observable, deterministic AI agent pipelines
Freelance software engineer. I make AI agent and MCP pipelines observable and reproducible: OpenTelemetry tracing, deterministic steps, read-only tool bounda...
|
79 % |
|
Future AGI | AI Agent Evaluation & Observability
Score outputs, spot hallucinations, and follow each call. Future AGI runs beside your AI in production, catching model drift in an hour rather than a week.
|
79 % |
|
agent-ledger | Idempotency for AI Agents
The missing layer for AI agents. Idempotency, retries, and audit logs for side effects.
|
78 % |
|
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...
|
78 % |
|
SuperTrain — Train Before You Deploy
|
78 % |
|
Agentika - The Control Plane for Production AI
|
78 % |
|
Guardy - Observability for AI Agents
Catch agent drift before your users do. Detect silent regressions across every session, tool call, and LLM interaction.
|
78 % |
|
Amogh Ranganathaiah · Forward Deployed Engineer
Founding Forward Deployed Engineer at MoolAI. I take enterprise AI agents from pilot to production: multi-agent systems, LLM evaluation, and context engineer...
|
78 % |
|
AI Automation for Coaches & Consultants | Effluxify
AI automation for coaches that saves 5-10 hours per week. We build Make.com systems that qualify leads, book calls, and handle follow-ups automatically. Clie...
|
78 % |
|
Trevyn | AI Pull Request Reviews for Engineering Teams
Trevyn automates pull request reviews with team-specific rules and learnings so engineering teams can ship faster with higher code quality.
|
78 % |
|
AgentHQ — The control surface for AI agents
One surface for the agents running your projects. Watch what they're doing, see what they posted for review, jump in when they're stuck. Self-host. Preview b...
|
78 % |
|
Plumb — The enterprise control plane, built on the source-available engine.
Plumb is Enlil for organizations: multi-tenancy, SSO/RBAC, signed compliance evidence, and a managed cloud on top of the same enforcement engine you can run...
|
78 % |
|
TruLayer — Evals, Closed Control Loop & Auto-Rollback for Production AI
TruLayer gives AI engineering teams real-time tracing, eval-rule-backed failure detection, and a closed control loop that retries, gates on human approval, a...
|
78 % |
|
Instryx — Agent Evaluation & Observability for AI Teams
Instryx evaluates AI agents across 100+ dimensions, traces every step, and pinpoints why an agent failed — so teams catch regressions before customers do.
|
78 % |
Detected social media networks