Hey everyone, After 3+ years building AI automation systems, I realized something: the bottleneck isn't the model. It's context and resources. Better context = better agents. But here's the real problem: everything is segmented. Your agents are in Pydantic AI. Your workflows are in n8n. Your knowledge is scattered. Your execution is fragmented. So I built AgeniusDesk, a unified platform that manages ALL of it: agents, workflows, knowledge, resources. One command center. No silos. What is it? A unified management layer for AI platforms, agents, and workflow frameworks (n8n, Pydantic AI, Flowise, etc.): - Multi-instance n8n visibility + control from one dashboard - AI agents (Pydantic, Claude, OpenAI, local models) as first-class citizens - Real-time error detection + AI diagnostics (catches issues before they blow up) - Agent Lab: write and debug code with AI, deploy instantly - Encrypted secrets vault (never plaintext, never exposed) - Shared resource layer: context, guardrails, execution contracts - Full local/self-hosted control (no vendor lock-in) Built on Python + FastAPI + Vanilla JS. Docker compose ready. Why I'm posting this here: This community gets it. You're not asking for another no-code builder or magic button. You're building real systems, running agents in production, managing multiple deployments. AgeniusDesk is built for that. What I want from you: Drop a comment and tell me: - → Are you managing multiple n8n instances or agents right now? - → What's your biggest pain point? (visibility? errors? scale?) - → Would you test-drive this if it solved that problem? I'm open-sourcing the whole thing. No strings. Just want to build something the community actually needs.

Hey everyone I put something together I think a lot of you will get real use out of. It's a free GitHub repo called Beyond the Chatbox — a structured learning path for going from "I use Claude.ai every day" to "I have AI working inside my actual projects." Here's what's inside: - Foundations — how LLMs actually work, the best YouTube channels, key papers explained plainly - GitHub basics — version control, repos, PRs — what you need to know without the noise - IDE setup — how to install Claude Code and get it running in VS Code - Context engineering — the CLAUDE.md pattern, repo structure, prompting that works - Extended knowledge — a markdown-based knowledge system your AI reads automatically - Repo template — copy it, fill in your details, done. Includes 4 starter agents you can use immediately. - Automation platforms — n8n, Make, Zapier, and 5 step-by-step workflow examples No subscription, no course fee. Just open it on GitHub and start reading. Start here: https://github.com/Mfrostbutter/beyond-the-chatbox Drop a comment if you hit a section and want to talk through it — happy to go deeper on anything.

When you're running n8n workflows, Claude Code sessions, Pydantic agents, RAG pipelines, and MCP servers across multiple environments, you don't have a command center. You have a dozen browser tabs, scattered config files, and no single view of what's actually failing. AgeniusDesk is the dashboard that sits on top of all of it. One interface. Every workflow, every agent, every execution, every error, across every platform you run. You see the full picture without switching contexts or losing your place. What It Solves The moment something breaks at 2am, you don't want to log into three different tools, hunt through executions, and manually cross-reference which step failed. AgeniusDesk pulls your errors automatically, surfaces them with full context, and lets you navigate straight to the source, one click. Fix it, reload it, move on. It also solves the sprawl problem. MCP servers, API keys, model providers, secrets, agent frameworks, knowledge sources: all the connective tissue that makes your stack work, scattered across config files and env vars. AgeniusDesk puts a management layer over all of it. Standout Features - Multi-instance dashboard — all your n8n instances, agent sessions, and pipelines in one view. Live execution health, workflow counts, error totals. No tab-switching. - Error management with drill-through — errors sync automatically across platforms. Click any error, navigate directly to the source. Bulk-clear by workflow. Purge in one action. - Agent visibility layer — monitor Claude Code sessions, Pydantic AI agents, and code-based agent pipelines from a single pane. See what's running, what's stalled, and what's throwing errors. - Framework compatible — built to manage most agentic platforms, not just n8n. Plug in the frameworks you're already using without rearchitecting your stack. - Knowledge source management — connect, monitor, and manage your knowledge bases and RAG sources across agents and workflows. - Code Lab — write, edit, and inject JavaScript into live n8n Code nodes directly from the dashboard. No back-and-forth. - MCP server management — connect any data source. Add servers, manage tokens, see available tools per server. - Model agnostic — configure any AI provider per instance. OpenAI, Anthropic, Ollama, whatever comes next. Switch without touching env files. - Vault-level secrets — full Infisical integration alongside the local store. Generate, rotate, and manage API keys from one UI. - Open source — self-hosted, your data stays yours.

Coming soon! It's in private beta now. Stay tuned :)

Real talk: how many people here are building automations for actual enterprise clients? Not solopreneurs or small businesses, but companies with 50+ employees, compliance requirements, multiple departments, the whole thing. If you are, what does your stack look like? How are you handling security reviews, change management, and the "we need IT to approve this" conversations? I ask because I manage operations across a portfolio of 6 MSPs and build automations daily. n8n handles the repetitive scheduled stuff and structures data for the other agents downstream, but a lot of what I run is pure Python agents. Once you're past a handful of clients and dealing with real enterprise requirements, the organization and management problem gets serious fast. Been building tooling around this and curious if anyone else is hitting the same wall.