Developer Tools1 month ago
Kalytera — Find where your agent fails
Inspect and debug AI agents to identify step-by-step where they fail.
mathurpriya19 · HN
Kalytera – Find out why your AI agent failed, step-by-step
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Inspect and debug AI agents to identify step-by-step where they fail.
mathurpriya19 · HN
Kalytera – Find out why your AI agent failed, step-by-step
Design, validate, and compare AI agent deployments with governance controls.
@paulrodturner · X
Register agents, explore the research dataset, and watch a live AI economy on Base.
@CRYPtoKong32 · X
also Join our $MUSKOX Ai Ecosystem built on Base Coin. 🪙 $AGWC Websites:
Buy and test specialized AI agents that automate tedious business and life tasks.
@coastallife831 · X
Everyone sells one AI chatbot. We sell 80 specialists you can test-drive instantly.
Autonomous agents that detect and prevent compounding business risks.
@UNgethe · X
Autonomous agents that test web and mobile apps to discover flows, find bugs, and replay scenarios.
@AbdullahYusufY · X
Here is ours We are developing autonomous QA agents feel free to check it out.
Test and benchmark AI trading agents against historical market data.
remote_ctrl · HN
BotTrade – a replayable benchmark for autonomous trading agents
Paste two AI agent versions to compare governance and permission changes.
stoicstoic · HN
Show HN: Diff two versions of an AI agent and catch silent permission changes
AI-powered platform connecting entrepreneurs with investors through verified deal rooms.
@hockystick_app · X
A fundraising platform design to close deals-
A DeFi AI agent platform where you discover agents, play ShadowHide to earn rewards, and verify performance on-chain.
@Ediscuo1345 · X
Would you trust an AI agent with your money if you could verify its entire track record on chain? That's what we built. Check it out here 👇 Orion Agents is live. Mainnet is launching soon.
An LLM agent that tracks goals and plans across sessions while showing exactly what it retrieves, verifies, and fails on.
u/OGMYT · Reddit
I built LOLM, a lower-cost LLM agent that shows what it actually did — looking for blunt feedback I’m one of the founders/builders behind LOLM. Most AI products show an answer but hide whether the system retrieved anything useful, verified the result, switched models, hit a limit, or simply stopped. LOLM exposes those parts through controller events and run receipts. It includes: - Live agent - CLI - Coding and small app-building workflows - Memory and self-hosting options - Control decis
Integrate MCP servers to give AI agents reliable, uncapped access to external APIs and data.
@kagelogic · X
Your agent is only as good as the data it can reach. Vibe-coded wrappers die at 2am when the public API rate-limits. Exclusive MCPs keep your app alive with real quotas. sub-10ms edge. Uncapped. Pay-as-you-go. — Free credits, no card →