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
@akshay_pachaar
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Agent Environment Architecture: Memory Routing Integration
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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.
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AI-Generated Workflow Structures and Intelligent Branching Logic
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Yeah, Mothership generated the structure from a prompt. For branching, it picks the right block (router for classification, condition for if/else, parallel for fan-out) and wires them up. I usually tweak the routes and prompts after, but the skeleton holds up surprisingly well.
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Dual Memory Architecture: Short-term Manager and Long-term Supabase Retrieval
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Hey, there are two memory layers running in parallel. Short-term lives on the manager agent (keyed to the user). Long-term embeds each turn into Supabase and pulls relevant past context back before the model sees the new message. State lives outside the model, so swapping
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Rebuilding OpenClaw AI Agent with Open-Source Stack
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I rebuilt most of OpenClaw's core in a single workflow:
— Akshay 🚀 (@akshay_pachaar) 29 avril 2026
– 25 blocks
– 29 connections
– Short + long-term memory
– Multi-channel (Telegram + Slack)
Didn't build it manually. Stack is fully open-source. Self-host, run local models, own it end-to-end.
Full walkthrough:
Chapters:… https://t.co/ESiNHqwD4h pic.twitter.com/hawcm2diJuI rebuilt most of OpenClaw's core in a single workflow: – 25 blocks
– 29 connections
– Short + long-term memory
– Multi-channel (Telegram + Slack) Didn't build it manually. Stack is fully open-source. Self-host, run local models, own it end-to-end. Full walkthrough: Chapters: -
Vector Databases Limitations in Multi-Hop Reasoning Tasks
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Vector DBs can't reason.
— Akshay 🚀 (@akshay_pachaar) 29 avril 2026
Top-k similarity ranks chunks one at a time against a query. That's fine for single-hop fact lookups, and it breaks the moment a question needs information stitched across multiple chunks.
That's what the FalkorDB GraphRAG-Bench results expose. The gap… https://t.co/hCv4cwP7Xk pic.twitter.com/utrYDQjFwZVector DBs can't reason. Top-k similarity ranks chunks one at a time against a query. That's fine for single-hop fact lookups, and it breaks the moment a question needs information stitched across multiple chunks. That's what the FalkorDB GraphRAG-Bench results expose. The gap
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Live AI Tool Launch with Research Paper Available
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Before you dive into the paper, you can try it live here: http://
plurai.ai/launch Paper: http://
plurai.ai/papers -
New Method to Train and Evaluate AI Agents Efficiently
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Vibe train your AI agents. There's a new method that could replace LLM-as-a-judge for production agents. Most teams rely on a giant LLM as a judge to evaluate and guard their agent. But it has two major drawbacks: – It's slow and expensive at inference time
– It often misses -
Cost-Effective RL Evaluation: Qwen3 32B Alternative to o3
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Great piece on RL! One thing I have noticed with RULER is that you don't need o3 or any big model as the judge for every run. Qwen3 32B works well for several tasks and costs a fraction. One can always start cheap validate the score separation looks right, then scale up the
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CPU vs GPU vs TPU vs NPU vs LPU Hardware Architectures
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CPU vs GPU vs TPU vs NPU vs LPU, explained visually:
— Akshay 🚀 (@akshay_pachaar) 26 avril 2026
5 hardware architectures power AI today.
Each one makes a fundamentally different tradeoff between flexibility, parallelism, and memory access.
> CPU
It is built for general-purpose computing. A few powerful cores handle… pic.twitter.com/S4nBKUJqArCPU vs GPU vs TPU vs NPU vs LPU, explained visually: 5 hardware architectures power AI today. Each one makes a fundamentally different tradeoff between flexibility, parallelism, and memory access. > CPU It is built for general-purpose computing. A few powerful cores handle