
Cyris
"Cyris is the orchestration layer your AI agents are missing. Whether you're a two-person startup or a 10,000-employee health system — connect agents from OpenClaw, Claude, GPT-4o, Ollama, EPIC, or any platform and have them coordinate, hand off, and escalate across your entire organization. Self-hosted. Auditable. Human-governed" Just a side project I've been working on, and was curious whether people would actually find something like this useful! I'd recommend checking out the sandbox as well.
Cyris launched on April 9, 2026 with 98 votes, #421 of 21,248 launches that month and more than 95% of that year's launches. The site was not reachable when checked in September 2026.
What it does
Your AI agents make thousands of decisions a day. Can you prove what they did? Cyris auto-instruments 12+ LLM providers (OpenAI, Anthropic, Bedrock, Gemini, Ollama, more) with zero code changes. Every decision is logged into a tamper-proof, hash-chained audit trail. When a hospital sends a 200-question security questionnaire, Cyris auto-fills the answers from your real agent data in 90 seconds. Two lines of code. Agents discovered in 10 seconds. Your next compliance review writes itself.
Does a similar job
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Cynative Security Research AgentJul 2026 · github.com · ▲97Hey, we built an open-source CLI in Go purposed to help you answer security questions across your cloud, code and runtime. It connects to your GitHub, GitLab, AWS, GCP, Azure & K8s using the credentials that are already in your shell, while limiting itself to read-only. The core innovation here is the trust boundary - our agent has a built-in code execution sandbox with no host or network access; it is exposed to an internal tool which we call an “action gate” that performs read-only HTTP requests to your own infrastructure. Since the cloud providers constantly expand actions and services,…
Acris AI2025 · acris.ai · ▲33The product is Acris AI. It's essentially an intelligent workspace with AI teammates. You can create projects with AI teammates that have all the necessary context. You can also manage your tasks, create notes and upload files, as well as build workflow automations What makes it different? You can assign tasks directly to AI teammates, who will perform them in the background. It's similar to assigning tasks to human teammates. I have integrated over 2,700 apps, including Gmail, Slack and calendars. I would appreciate any feedback Thank you! P.S. I've just launched on Product Hunt!…
20+ Claude Code agents coordinating on real work (open source)Feb 2026 · github.com · ▲53Single-agent LLMs suck at long-running complex tasks. We’ve open-sourced a multi-agent orchestrator that we’ve been using to handle long-running LLM tasks. We found that single LLM agents tend to stall, loop, or generate non-compiling code, so we built a harness for agents to coordinate over shared context while work is in progress. How it works: 1. Orchestrator agent that manages task decomposition 2. Sub-agents for parallel work 3. Subscriptions to task state and progress 4. Real-time sharing of intermediate discoveries between agents We tested this on a Putnam-level math problem, but the…
Co-OpJan 2026 · co-op.software · ▲30AI is in a weird place right now. Technical people marvel over it while non-technical people don't really care. So we built Co-Op, an app specifically designed for non-technical people to run AI agents without needing a Mac Mini or laptop running 24/7. Your agents run throughout the day and complete real work across your most important apps, no code required. For me, this looks like a daily notification with my unread emails across Outlook, Gmail, and any other inbox, the weather, commute time, flight prices I'm monitoring, and the news. But it goes way beyond that. Our agents can build…

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