Developer Tools1 month ago
Agent Observability that Just Works at Scale - Oodle.ai | Oodle AI
Monitor LLM calls, APIs, and infrastructure performance for AI agents.
kirankgollu · HN
Oodle.ai – $10 per million agent traces
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Monitor LLM calls, APIs, and infrastructure performance for AI agents.
kirankgollu · HN
Oodle.ai – $10 per million agent traces
Monitor and investigate failures across multi-agent systems from a live dashboard.
leylal0016 · HN
AgentPulse detects and investigates failures in multi-agent systems
Observability platform for AI agent pipelines that detects failures and explains root causes.
@VaraadDurgaay · X
Solving the prb of observability in ai agents
Route web searches and data fetches across providers for AI agents, with built-in observability.
yurikoif · HN
Telem – Route agent web search across providers and inspect the traces
Add evaluation reports to your AI agent with a shareable URL that scores performance.
adeeonline · HN
AgentsProof – a small project for testing AI agents
Infrastructure for running and monitoring AI coding agents continuously from your browser.
sakuraiben · HN
Reachpad – Run all your coding agents from anywhere from the browser
Trace, replay, and verify AI agent decisions with signed audit trails.
u/Funky_Chicken_22 · Reddit
OSS to SaaS positioning problem: when the user persona and the buyer persona are completely disjoint Founder here. Sharing a positioning problem I think a lot of OSS-to-SaaS founders hit and don't talk about publicly. Context: I have been running an OSS project (world-model-mcp) with ~2,500 monthly PyPI installs. Two weeks ago I opened up the hosted companion, Etch, at etch.systems. Launched publicly on Product Hunt at 12:00 PDT yesterday. The positioning problem: OSS user persona: in
Backend infrastructure that keeps AI agents alive with durable execution and state management.
iacguy · HN
Show HN: Durable AI agents without the workflow engine
Autonomous agents that detect and prevent compounding business risks.
@UNgethe · X
Emem Channel - Signed collaboration between independent AI agents
jaya2424 · HN
Emem Channel - Signed collaboration between independent AI agents
Monitor and extend AI coding agents with built-in security and control tools.
@TurenTom · X
Check AI agent outputs and actions against your policies before execution; get allow, block, rewrite, or escalate decisions.
u/danielbaker06072001 · Reddit
Most AI agent SaaS is just bad security with a nice dashboard Give a new employee access to Stripe, GitHub, Slack, and your CRM on day one, and you’d call it reckless. Give the same access to an AI agent, and we call it “autonomous.” That isn’t innovation. It’s skipping basic security because the demo looks cool. Full disclosure: I’m building TrustLoopGuard around this problem, so I’m obviously biased. While testing one MCP connection, I realized I had decided what the agent could a