Agenta - Open-source LLMOps platform
Cossmology Profile: https://dub.sh/s00LukP
Key People: Mahmoud Mabrouk, Akrem Abayed
Fully self-hosted, local models via Ollama, no data leaves your infra.
Repo: https://github.com/JehanneDussert/govllm
Demo coming soon.

Continuous LLM governance monitoring for regulated environments - EU AI Act, GDPR, ANSSI. Self-hosted, profile-driven, no data leaves your infrastructure. - JehanneDussert/govllm
Agenta - Open-source LLMOps platform
Cossmology Profile: https://dub.sh/s00LukP
Key People: Mahmoud Mabrouk, Akrem Abayed
Avoiding the docs slide into staleness takes some proactive effort. But a lot of that can be automated these days.
I talk about some suggestions in a blog post here: https://djw.fyi/portfolio/preventing-drift/
Photo by Aliaksei Semirski on Pexels. We’ve all been there. The team is firing on all cylinders, cranking out innovative new features. The documentation is perfect! It’s comprehensive, clear, and included right in the Pull Request. Then, six months later, a bug report comes in. Somewhere along the way, a developer changed a timeout value, renamed a key in a JSON response, or updated a UI label, and…the documentation didn’t move an inch.
We’re excited to share that pgEdge is now a Silver Member of the Agentic AI Foundation!
Joining this forward-thinking community reinforces our commitment to advancing responsible, open, and collaborative standards in agentic AI. Together with innovators across the industry, we’re helping shape the future of AI that’s safe, transparent, and impactful.
Read more in the press release https://aaif.io/press/agentic-ai-foundation-welcomes-97-new-members-as-demand-for-open-collaborative-agent-standardization-increases/
#AgenticAI #OpenSourceAI #AIEngineering #AI #LLM #AIOps #LLMOps #ML #DevCommunity #Dev
Akshay (@akshay_pachaar)
AI Engineering Hub 오픈소스 프로젝트 1주년 및 GitHub에서 3만 스타 달성 축하. 90개 이상의 핸즈온 프로젝트를 포함하며 RAG, MCP, AI 에이전트, 파인튜닝, AI 메모리, 평가·관측성, LLMOps/최적화 등 실무 중심 주제를 다룸. 시작 링크(깃허브) 제공.

I open-sourced the AI Engineering Hub 1 year ago! Today we've hit 30k stars on GitHub! 🌟 90+ hands-on projects covering: > RAG > MCP > AI Agents > Finetuning > AI Memory > Eval and Observability > LLMOps/Optimisations > And more... Get started here: https://t.co/Ke1pC3Bh4L
Did you know our open source Natural Language Agent includes a web-based chat interface for interacting with your #PostgreSQL database using natural language queries?
➡️ Check out the full walkthrough on how to use it and what features are available, here: https://docs.pgedge.com/pgedge-postgres-mcp-server/v1-0-0-beta3/guide/web-client/
Don't forget to star the repository to keep track of new releases as they become available ⭐ https://github.com/pgEdge/pgedge-postgres-mcp
#postgres #dba #devops #mcp #ai #llm #llmops #aidevelopment #aiengineering #claude #openai #ollama
If you're running heavy agents at scale, I'm genuinely curious: how are you handling this?