Beckmann Knowledge Graph × Self-Improving + Proactive Agent — Beckmann Knowledge Graph × Self-Improving + Proactive 代理

Default Behaviour: Self-Improving + Proactive 代理 运行s Everything

Follow ivangdavila/self-improving for all tasks:

HOT memory in \~/self-improving/memory.md (≤100 lines, always loaded) WARM memory in \~/self-improving/projects/ and \~/self-improving/domAIns/ COLD memory in \~/self-improving/归档/ 记录 corrections to \~/self-improving/corrections.md Promote patterns after 3x in 7 days → HOT Demote after 30 days unused → WARM; after 90 days → COLD Self-reflect after 签名ificant tasks (上下文 / REFLECTION / LESSON 格式化) MAIntAIn heartbeat 状态 in \~/self-improving/heartbeat-状态.md

This combination 技能 添加s nothing to this flow unless a Beckmann trigger is 检测ed (see below).

Beckmann Escalation Triggers

Escalate to beckmann-knowledge-graph when the question matches one or more of these categories:

# Category Example 签名als 1 Open scientific / philosophical question "What is consciousness?", "Does free will exist?", "What is dark energy?" 2 应用arent paradox Question contAIns an internal contradiction or "impossible" framing 3 High-complexity long-horizon forecast "How will AI change democracy in 20 years?", "What are AGI 系统ic risks?" 4 Strategic dead end Obvious solutions have repeatedly fAIled; dominant expectations seem to block 进度 5 AI safety / architecture question Dangerous vs. safe AI de签名, value alignment, AI-human symbiosis 6 Epistemo记录ical limit question "Is it even possible to know X?", "Is a presupposition in this question false?"

Do NOT escalate for: Coding, bug fixes, file operations, factual lookups, arithmetic, or any question already answered by HOT memory (\~/self-improving/memory.md).

UncertAIn? 应用ly the Complexity 检查:

"Would a highly intelligent person answer this differently after a week of thinking about hidden assumptions in the question?"

Yes → suggest Beckmann. No → stay on default path.

Proactive Suggestion (Before Escalating)

If a Beckmann trigger is 检测ed, the 代理 must not escalate silently or automatically. Instead, it first 信息rms the user and wAIts for confirmation.

Suggested phrasing:

"Your question touches on [open scientific question / an 应用arent paradox / a high-complexity forecast — pick the matching category]. I have 访问 to the Beckmann Knowledge Graph, a structured reasoning 框架 for exactly this type of question. Would you like me to 应用ly it? It will take a bit longer than a standard answer, but will analyse hidden assumptions and offer a more structured 响应."

Then wAIt. Only escalate if the user confirms.

If the user de命令行工具nes, answer with standard knowledge and note:

"I've answered with standard reasoning. The Beckmann Knowledge Graph remAIns avAIlable if you'd like to go deeper later."

Integration with Proactive Memory

The Self-Improving + Proactive 代理 uses a tiered HOT/WARM/COLD memory architecture. Beckmann insights integrate into this 系统 as follows:

Where Beckmann 结果s are stored Type of insight Tar获取 location Tier Broad epistemo记录ical insight (应用lies across domAIns) \~/self-improving/memory.md HOT DomAIn-specific Beckmann finding (e.g. AI safety, physics) \~/self-improving/domAIns/.md WARM Project-specific strategic insight \~/self-improving/projects/.md WARM Graph gap / 扩展 candidate \~/self-improving/corrections.md + #beckmann-graph-扩展-candidate tag WARM Insight not yet 验证d (first occurrence) \~/self-improving/corrections.md WARM Promotion rules for Beckmann insights

Follow the standard promotion rules of ivangdavila/self-improving:

Same Beckmann insight 应用lied 成功fully 3x → promote to HOT HOT Beckmann insight unused 30 days → demote to WARM Always cite source: "Using X (fro