Alternatives
Products that do what Sharkforce does
AI that verifies work actually happened, in real time
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Bookkeeping assistant that runs receipt workflows end-to-end
Jun 2026 · receiptor.ai
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Hi HN, I'm Brian, I spent the last few years at Vanta (YC W18), helping startups and enterprises become compliant and I recently started exploring what that might look like in a post-agentic world. The problem Halo solves is: when a company buys an AI agent from a vendor and gives it access to their data, they have no way to check what the agent did with that data. Vendors may have built observability dashboards and audit logs, but those are editable and partisan. SOC 2 and ISO 27001 audit a company's controls, but controls are less predictive when the software is agentic. TLDR: give an…
Jul 2026 · github.com
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I've been delegating work to Claude Code for the past few months, and it's been genuinely transformative—but managing multiple agents doing different things became chaos. No tool existed for this workflow, so I built one. The Problem When you're working with AI agents (Claude Code, Cursor, Windsurf), you end up in a weird situation: - You have tasks scattered across your head, Slack, email, and the CLI - Agents need clear work items, context, and role-specific instructions - You have no visibility into what agents are actually doing - Failed tasks just... disappear. No retry, no notification…
Feb 2026 · github.com
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GitHub: https://github.com/ClioAI/kw-sdk Most AI agent frameworks target code. Write code, run tests, fix errors, repeat. That works because code has a natural verification signal. It works or it doesn't. This SDK treats knowledge work like an engineering problem: Task → Brief → Rubric (hidden from executor) → Work → Verify → Fail? → Retry → Pass → Submit The orchestrator coordinates subagents, web search, code execution, and file I/O. then checks its own work against criteria it can't game (the rubric is generated in a separate call and the executor never sees it…
Feb 2026 · github.com
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HawkFlow.ai, The Data Scientist's Companion. Easily make monitoring part of your Model building process. - Automatically detect anomalies, trends, highs, lows, and movements - Track run times of training, imports, loading, queries and more A free, complete MLOps, Monitoring and AI Quality & Governance solution.
2023 · hawkflow.ai
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Hi HN! I run a few Claude Code sessions in parallel and kept cmd-tabbing around just to find out one of them had been sitting on a permission prompt for ten minutes. There's a hardware gadget I liked (called SidePulse.io) so before waiting to get my shipment I built the software version instead :D I hope you like it and find it useful as I do!
27d ago · github.com
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At our company we needed some sort of unified logging for our AI agents (devs using cursor, internal agents for checking documents, handling client requests etc) and we came up with a tool that we've decided to make available as a SaaS. With it your agents will report their progress automatically, and you'll get a unified log across projects that you can monitor on your dashboard, query through our api, set up slack and zapier hooks or even push notifications to your mobile. You can try it out for free, any feedback would be most appreciated, thanks.
2025 · taskerio.com
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