warrenop/open-preset-harness

README 摘要

open-preset-harness Project memory for multi-role AI agents — one knowledge base, every preset reads. English 中文 Agents forget between sessions. Teams don't. open-preset-harness adds a project-scoped organizational memory layer on top of DeepSeek Harness: any role (preset) can contribute experience; any role can recall it when needed. Why this exists DeepSeek Harness separates preset (who the agent is — tools, persona, prompts) from session log (what happened in one conversation). That split is right for engineering — but team knowledge lives at the project level , not inside a single preset or session. Without shared memory: - A security review preset rediscovers the same auth pitfalls every sprint - A new contributor preset repeats questions answered three months ago - Product decisions vanish when the PM's session ends - Token spend grows because every role rebuilds context from scratch open-preset-harness makes project experience compound over time — like a team wiki that agents actually use, wired into the harness session log. What it is (and is not) Is Open-source project organizational memory for Harness presets Is Domain-organized, recall-on-demand, auditable contributions …

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