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Owning the agent harness is becoming a priority for AI teams
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Build your own harness, folks! Highly recommended reading on Ramp's own agent harness and why they built one. I've seen this closely. More hardcore engineering teams are realizing how important it is to own the harness. I expect more full-stack AI companies to follow. Ramp quickly realized they could move faster and better with their agent harness. Benefits: - Model-and-provider agnostic - Shipping faster as the harness is closer to other teams - Owning the observability stack (a must…
rahulgs@rahulgs4d ago
after much experimentation, we landed on a single set of rails that powers our agentic systems across the company - background agents, async agents, live chat: 1. stack - accounting harness (https://t.co/FP0HUI8zNl) 2. glass - general purpose coworker (https://t.co/Q7X7SGdBE0) 3. inspect - coding agent 4. our support chat bot, Ask Ramp 5. headless agents that do document OCR 6. ramp text (HIRAMP/447-267) agent works with all models, supports all modern harness features - background tasks, sandboxes, tool hooks, tool search, durability, forking, compaction, queueing, streaming, and observability laminar, our new harness, sits on top of ramp router, and brings enormous leverage to our agent developers across the company more info on our blog ->
