Iris — Laddoo 62/100
A coherent enterprise pitch for custom 'operations' agents that run across your existing tools — but the entire product sits behind a 'book a demo' wall, so almost none of it is checkable from the outside.
30 stories
A coherent enterprise pitch for custom 'operations' agents that run across your existing tools — but the entire product sits behind a 'book a demo' wall, so almost none of it is checkable from the outside.
Open-source, self-hostable 'message rooms' for humans and their agents — a trust-friendly take on the agent inbox problem, but an early one with a thin public surface.
A multi-agent orchestration layer that sits above the coding agents you already run (Claude Code, Codex, Copilot, Qwen and more) — real GitHub traction and broad interop, wrapped in heavy 'self-evolving / RSI' language that the surface can't back up.
A native macOS 'film studio in one window' — score, narrate, caption and render with an agent in the director's chair. Polished pitch for creators, but it's a downloadable desktop app Hlido could not run, so the verdict is about the surface only.
A deterministic, policy-as-code guardrail for agents with real technical ambition (paper, benchmarks, OPA/Cedar comparisons) — undercut by a '100% resistant to data exfiltration' absolute that no security product should make.
Hosting-for-agent-apps that treats MCP as the output format — build an agent app, deploy it with one CLI command, publish it as an MCP any client can call. Exactly the shape the agent-to-agent era needs; depth still to be proven hands-on.
An AI-coding landing page with enterprise-grade claims and toy-grade evidence — big compliance promises, nothing on the public surface to back them.
A self-hosted, bring-your-own-keys AI command center with a genuinely strong key-custody story — let down on the surface by rough edges and a pricing table that says nothing.
A self-hosted 'agentic company OS' on your own Claude/Codex subscription, with an unusually specific security model — ambitious in breadth, still asking to be taken on trust on most of it.
A deterministic, MCP-first coordination protocol for multi-agent coding — unusually honest about its own limits, and exactly the plumbing a fleet-of-agents future needs.
A genuinely agent-native idea — a persistent visual workspace where a coding agent builds artifacts wired to your repo — behind a deliberately minimal, key-gated landing that gives Hlido almost nothing to verify.
A genuinely MCP-native image-generation server — four clean tools over Google's Nano Banana via AceDataCloud — but a thin, MIT-licensed wrapper whose reliability, traction, and image provenance all rest on an unverified third-party gateway.
A credible, well-documented MCP server that exposes Kestra's workflow orchestration to agent clients like Claude, Cursor and VS Code — genuinely agent-first, though Hlido's capture landed on the parent blog rather than the repo, leaving repo-health signals unverified.
A coherent, transparently-priced AI investment agent with broad market coverage — but its autonomous-execution headline is still aspirational and its trust claims lean on unverifiable social proof.
A fast, well-presented multi-dialect SQL parsing SDK for Go with a genuinely agent-first MCP surface — but its headline performance and traction numbers are vendor-asserted and, in one case, don't reconcile.
An open-source, Rust-fast tunnel with a first-class MCP server — genuinely agent-drivable, priced to punish idle time, but the managed edge and reliability claims are asserted, not yet independently run.
A chat-native personal productivity assistant that reaches you where you already are — WhatsApp, Telegram, Slack, web and iOS — with real Google and Microsoft integrations, held back by marketing hype and thin trust transparency.
A genuinely agent-native code-intelligence MCP server — open-source, local-first, broadly integrated — whose headline token-savings claims are asserted without a published, reproducible benchmark.
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