Alternatives
Products that do what Xytha does
Portable trust for humans, AI agents, and teams
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Hey HN, I’m Chris, a solo dev in Melbourne AU. For the past month I've been spending my after work hours building AgentVisa. I'm both excited (and admittedly nervous) to be sharing it with you all today. I've been spending a lot of time thinking about the future of AI agents and the more I experimented, the more I realized I was building on a fragile foundation. How do we build trust into these systems? How do we know what our agents are doing, and who gave them permission? My long-term vision is to give developers an "Agent Atlas" - a clear map of their agentic workforce, showing where…
2025 · agentvisa.dev
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- 16XA
Self-hosted AI security testing with a local Web UI, live agent telemetry, verified findings, and branded PDF reports.
Jul 2026 · github.com
- 17GA
Hello! Introducing geniusrise, an agent framework and component ecosystem for building AI agent networks that are as flexible as your team. landing page: https://geniusrise.ai (fancy but useless) docs: https://docs.geniusrise.ai (please check this out) github: https://github.com/geniusrise (for dear devs) ## Thought process Since the ChatGPT disruption, I've been pondering on what the tooling layer is going to look like for building LLM-interfacing agents. Saw a plethora of tools coming out as we witness here every week. I'd broadly categorize them into the…
2023 · github.com
- 18MA
Hi, I'm working on a project that regroups all best AI (AIaaS) from different providers (GCP, AWS, Azure, DeepL, etc.) in one API (https://github.com/edenai/edenai-apis). I've got asked the question : why aren't you regrouping Open Source models (instead of proprietary APIs) into one repo? Well because it doesn't make sens to deploy and maintain large pytorch (or other framework) AI models (especially for document parsing, image and video moderation or speech recognition) in every solution that wants AI capabilities. So using APIs makes way more sens. Deployed OpenSource…
2023 · github.com
- 19MF
Hello HN, I created Decispher (decispher.com) to enable human developers and AI agents working alongside each other to share their context. It has some pretty cool features, like Branch Story (explains why a branch's code looks the way it does) and Session Context Transfer (an MCP tool that can copy context from one chat, agent, or machine to another). You can also capture context from engineering platforms like Slack, JIRA, and Git(hub/lab) just by tagging @Decispher.
Jul 2026
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A few weeks ago, we started looking for a good framework to build agentic workflows within our Rails monolith at Chatwoot, but couldn't find anything that fit our needs. So, we decided to build our own. The SDK lets you create multiple AI agents that can interact with users, use tools, share context, and hand conversations off to each other. The SDK is provider-agnostic and designed to be thread-safe. Here's a link to our GitHub repository with the entire code, a quick-start guide, as well as an interactive example: https://github.com/chatwoot/ai-agents Fair warning: This…
2025 · github.com
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Agent Brain Trust lets you summon a panel of real, named experts to critique your architecture, review your writing, pressure your product strategy, or debate your design patterns. 10 built-in trusts, an extensible roster, and a working turn-taking protocol that ensures nothing useful gets skipped. Guest experts are drafted via an MCP server that maps topics to real persona cards so the panel can reach into niche and novel territory without inventing expertise it does not have. Wrote up the full thinking here: https://tinyurl.com/agent-brain-trust
Apr 2026 · github.com
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Been working on data sovereignty recently and started this list. Hope you can contribute too.
2025 · github.com
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Hi HN, I’m the creator of Cordum. I’ve been working in DevOps and infrastructure for years (currently in the fintech/security space), and as I started playing with AI agents, I noticed a scary pattern. Most "safety" mechanisms rely on system prompts ("Please don't do X") or flimsy Python logic inside the agent itself. If we treat agents as autonomous employees, giving them root access and hoping they listen to instructions felt insane to me. I wanted a way to enforce hard constraints that the LLM cannot override, no matter how "jailbroken" it gets. So I built Cordum. It’s an open-source…
Jan 2026 · github.com
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