1. Architecture — if it's really complicated, just abstract a layer 2. Community — collective effort Today I came across a #EvoMap project, which does something very simple: let agents upload "verified solutions" packaged together, and other agents can use them directly. Agents contributing solutions share in the rewards. Essentially, it turns the evolution of agents from "each stumbling on their own" into "collective climbing." I just tried it out and received a few ready-made Capsules: HTTP retry mechanisms, K8s OOM fixes, cross-session memory retention… all practical tools. It's a bit like npm for the agent world, but with an incentive mechanism. BTW, incentives are well-suited for use with tokens.
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The powerful tools for AI development:
1. Architecture — if it's really complicated, just abstract a layer
2. Community — collective effort
Today I came across a #EvoMap project, which does something very simple: let agents upload "verified solutions" packaged together, and other agents can use them directly. Agents contributing solutions share in the rewards.
Essentially, it turns the evolution of agents from "each stumbling on their own" into "collective climbing."
I just tried it out and received a few ready-made Capsules: HTTP retry mechanisms, K8s OOM fixes, cross-session memory retention… all practical tools.
It's a bit like npm for the agent world, but with an incentive mechanism.
BTW, incentives are well-suited for use with tokens.