Managed Deep Agents lets you create a managed Deep Agent without standing up a custom agent server. Our runtime supports: Durable threads Streaming runs Checkpointing Human-in-the-loop workflows
AGENTS
-
LangSmith Engine: AI Agent for Agent Optimization
By
–
join us for a behind the curtains look at LangSmith Engine (our agent that helps make your agent better)
-
Trend: Fewer Modes, More Autonomous AI Coding Agents
By
–
This is the AI coding agent trend in one sentence: Fewer modes. More autonomy. TRAE is moving from “pick the right coding assistant” to “tell one agent what to build and let it orchestrate the workflow.” Try it here:
-
SOLO Agent Dynamically Loading MCPs for Real-World Apps
By
–
The MCP side is especially interesting. TRAE’s unified SOLO Agent can dynamically load configured MCPs as the project evolves, instead of getting boxed into one rigid setup. That matters when you’re building real apps with databases, payments, AI services, and deployment tools.
-
AI agents that automate idea-to-deployment workflows
By
–
That’s the real unlock: Less mode-switching.
Less setup friction.
Less “wait, which workflow do I need?” The agent can move from idea → app → tool connections → deployment without forcing you to babysit every step. -
SOLO Agent auto-selects tools and sub-agents
By
–
This sounds small until you actually build with agents. Before, you had to pick the right agent for the right task. Now you just describe what you want. TRAE’s SOLO Agent decides which capabilities, tools, MCPs, and sub-agents to use automatically.
-
Commentary on agent retraining inefficiency and funding
By
–
letting agents relearn the EXACT same stuff every run is just burning cash. makes this $3M raise super obvious tbh Uber's CEO @dkhos will be happy to see this 😉
-
Rote: a local CLI for reproducible agent workflows
By
–
🚨 THIS IS EXACTLY HOW AI TOOLING SHOULD BE BUILT@Modiqoai just released Rote, completely dropping the bloated SaaS model.
— Charly Wargnier (@DataChaz) 28 mai 2026
It’s a FREE, local CLI that memorizes your agent's API sequences.
Imagine nailing a Jira flow once and handing that exact run to every dev on DAY 1 👀↓ https://t.co/DzI3DMhYdITHIS IS EXACTLY HOW AI TOOLING SHOULD BE BUILT @Modiqoai just released Rote, completely dropping the bloated SaaS model. It’s a FREE, local CLI that memorizes your agent's API sequences. Imagine nailing a Jira flow once and handing that exact run to every dev on DAY 1 ↓
-
Future agents require sandbox for code execution across tasks
By
–
a hot (cold at this point?) take that lead us to build this: every agent in the future will need a sandbox to connect to writing/executing code is not just for coding agents! is useful for all sorts of tasks
-
Agents need memory for production-ready flows
By
–
Agents don’t need another shiny demo.
— God of Prompt (@godofprompt) 28 mai 2026
They need memory for the boring production flows that actually matter.
Rote turns successful API runs into replayable local flows, so agents stop burning tokens to rediscover what already worked.
That’s the missing infra layer.@modiqoai… https://t.co/WWmEgi3V0zAgents don’t need another shiny demo. They need memory for the boring production flows that actually matter. Rote turns successful API runs into replayable local flows, so agents stop burning tokens to rediscover what already worked. That’s the missing infra layer. @modiqoai
