That's a quick tour through building and deploying a simple agent with DeepAgents deploy Was just a markdown file, a json file, and toml file Easy to set up, but robust deployment by the end Try out deepagents deploy! Full docs here:
AUTOMATION
-
Deploy AI Agents to LangSmith Using deepagents and Docker
By
–
After that, it's go time! `deepagents deploy` This will use Docker under the hood, so make sure you have that installed It will build an agent server image, and then deploy it to LangSmith
-
Building Documentation Assistant Agent Core Instructions
By
–
Next up – the agents core instructions These live in AGENTS.md. I'm going to write some instructions for how this agent can be the best documentation assistant agent! You can see the full text here: https://
github.com/langchain-ai/d
eepagents/blob/main/examples/deploy-mcp-docs-agent/AGENTS.md
… -
Error Handling and Retry Mechanisms in AI Agent Blocks
By
–
Good question. Sim has retries and error paths built into each block, so you can set retry counts and route failures to a fallback branch. For the agent blocks, I also keep prompts strict on output format so downstream parsing doesn't break. Haven't needed heavy fallback
-
Removing SOC Blockers to Maximize Engineering Team Performance
By
–
Christina and co on a legendary run. (Don't SOC-block your engineers)
-
Agent Environment Architecture: Memory Routing Integration
By
–
Thanks! That framing is exactly how I started seeing it too. Once memory, routing, and multi-channel sit in one place, the workflow stops feeling like a script and starts feeling like an environment the agents actually live in.
-
Mistral Vide now in Le Chat, new Work Mode preview
By
–
Users can now use Mistral Vide directly in Le Chat!
— 🚨 AI News | TestingCatalog (@testingcatalog) 29 avril 2026
Besides that, Le Chat got a new Work Mode in Preview: an agent that can handle complex tasks across connected tools. https://t.co/XQn3Uo9TPr pic.twitter.com/Kin0tKjhFuUsers can now use Mistral Vide directly in Le Chat! Besides that, Le Chat got a new Work Mode in Preview: an agent that can handle complex tasks across connected tools.
-
Hermes AI Agent: From Concept to Functional AI Agent
By
–
Hermes AI Agent isn't an overnight success. It's the gap between a concept and something that ACTUALLY WORKS. An Agent with skills that grows with you.
-
9 Steps to Build Functional AI Agents from Scratch
By
–
How to build AI agents from scratch (9 steps): 1. Purpose & scope 2. I/O schemas 3. System instructions 4. Reasoning + tools 5. Multi-agent orchestration 6. Memory & context 7. Multimodal 8. Structured outputs 9. UI / API Ship agents that do work, not just talk.
-
Replit Agent Monitors Production Apps, Fixes Issues Automatically
By
–
Building apps is easy- keeping them running isn’t
— Replit ⠕ (@Replit) 29 avril 2026
Introducing Replit Application Monitoring
Replit Agent now watches your app in production, investigates issues, and helps fix them- so you don’t have to pic.twitter.com/NP8blat8awBuilding apps is easy- keeping them running isn’t Introducing Replit Application Monitoring Replit Agent now watches your app in production, investigates issues, and helps fix them- so you don’t have to