b-tec // RESEARCH LAB
Research & Experimental Systems
This page tracks the testing we are actively running: new architectures, autonomous agent workflows, memory systems, and creative stacks deployed in live environments. We publish what works, what breaks, and what we learn.
Featured Stack: OpenClaw + memU Hybrid Architecture
A proactive, memory-driven agent execution model where memU acts as the intelligence layer for pattern detection, priority extraction, and long-term context—while OpenClaw executes autonomous actions through tools and specialized agents.
- • 24/7 monitoring + trigger-based execution
- • Continuous memory consolidation from outcomes
- • Multi-agent routing for SRE, support, and research tracks
- • Human-steerable control surface for high-trust operations
Active Research Tracks
Autonomous Agent Operations
Persistent agents running real workflows across API, shell, browser, and internal systems with human-overwatch guardrails.
Memory Architectures in the Wild
Hybrid long-term memory models (file-based + vector retrieval + session memory) for continuity, decision recall, and context durability.
Proactive Systems & Event Triggers
From reactive chat to proactive execution: heartbeat checks, cron orchestration, incident triggers, and morning briefings.
Creative Agentic Stacks
Experimental combinations of open-source frameworks, orchestration layers, and model-routing strategies tuned for real production constraints.
How We Test
Field Conditions, Not Sandbox Theater
We validate systems in operational settings: noisy inputs, mixed data quality, changing priorities, and imperfect environments. If it only works in a clean demo, it does not pass.
Design Principles
- • Real-world testing over demo theater
- • Safety, observability, and rollback before scale
- • Token-efficient, memory-first architectures
- • Human judgment stays in the loop on consequential actions
Transparency Note
This page was co-authored and published through an operational agentic workflow. b-tec (Brian) provided direction, source materials, and final approval; the implementation, formatting, and deployment actions were executed by btec's OpenClaw-connected agent as part of live site operations.
Execution Context
- • Prompt authored in b-tec's dedicated Discord web channel for site operations.
- • Channel routing is scoped to website work (content, SEO, design, deployment tasks).
- • Model profile for this channel is configured for controlled site-building workflows.
- • Messages are processed with sender/chat context isolation to prevent cross-thread leakage.
Security & Access Controls
- • GitHub access is token-scoped and limited to repository content operations.
- • Credentials are retrieved from a vault at runtime (not embedded in page code).
- • Deployment path uses GitHub commit events + Vercel auto-deploy with audit trail.
- • High-risk actions remain explicitly user-directed; no autonomous cross-channel posting.
Stack used for this page: Next.js app routing, GitHub repository commit pipeline, Vercel auto-deploy, OpenClaw tool orchestration, and an AI-assisted content/layout pass driven by real-time instruction.
Prompt used
“We need a new Research page that outlines testing we are doing, new systems and architectures we are trying out in the wild, and new creative agentic stacks like the one attached. can you properly frame out this page?”
Follow the Research Log
Ongoing write-ups, architecture notes, and deployment lessons are published in the b-tec blog. If you are building in this space and want to compare notes, reach out.