2 April 2025
🧠 Multi-Agent Intelligence. Minimal Code
We’ve rolled out a modular multi-agent orchestration framework that supports collaboration models like Supervisor Pattern, Swarm Pattern, and more. Built for low-code/no-code users, this enables you to design distributed, intelligent workflows without diving into complex architecture.
Agents now have self-reflective capabilities. Through meta-reasoning and self-assessment, agents can evaluate their actions and adapt dynamically—bringing true autonomy into your agentic designs.
Agents now maintain short-term memory using a scratchpad system, enabling smarter context handling across multi-step tasks. This boosts reasoning accuracy without overwhelming the system with long histories.
Take control of what your agents know. Choose to pass full, partial, or summarized context using our new context strategies. This helps manage memory load and improves decision relevance.
📊 Evaluate Smarter. Build Better
Evaluation Framework with RAGAS and Custom Metrics
We’re introducing a plug-and-play evaluation framework for AI apps—agentic, conversational, or otherwise. Out-of-the-box support for metrics like RAGAS and the ability to define custom evaluation criteria make it easy to measure and optimize performance. Bonus: evaluations are trace-aware and can be scheduled for continuous feedback loops.
🚀 At Scale, On Schedule
Need to process thousands of inputs through your agentic pipeline? Now you can schedule bulk workflow runs across large datasets. Whether testing performance or running inference at scale, our infrastructure ensures smooth, high-volume execution.
New to SimplAI ? We’ve got your back. Every new account comes with a fully configured studio—complete with sample datasets, agents, tools, and workflows—to help you hit the ground running.
🔧 Enhanced Usability & Debugging
You can now view, search, and edit individual content chunks in your knowledge base. This gives you full control over parsing errors, missing content, or refinement needs—without re-ingesting everything.
Debug smarter with step run mode in AI Chains. Walk through your chain’s logic one block at a time to analyze flow, identify issues, and validate logic in real-time.
Some tools take forever? Now you can terminate tools mid-execution when they stall or exceed time limits, preventing pipeline bottlenecks and making workflows more resilient.
Get live visibility into how your agent behaves, all from the preview screen. See tool calls, decision traces, and context management—without switching tabs or tools.
🧭 Guided Onboarding + Experience Center Expansion
We’ve added a brand-new Guided Tour and Quickstart walkthrough to help new users navigate the platform with confidence. Plus, the Experience Center now offers more pre-built industry solutions to explore and customize for your needs.
