CONT-02-day0 — Day-0 LinkedIn Launch Post (DRAFT)

Author: Marko Marković (Marko publishes; I draft) Audience: LinkedIn network — founders, AI/ML community, enterprise contacts, Egzakta network Length target: ≤ 1,300 chars (per M-32 + LinkedIn-native cap before "see more" fold) Tone: Confident, evidence-led, NOT hype Zone (per 2026-04-19-launch-copy-variants.md): Zone B — Matches/Marginal Beat (LoCoMo 74% vs Mem0 66.9% is +7.1pp but framed as "apples-to-apples methodology" rather than "SOTA dominance") Status: READY-TO-PUBLISH. Marko reviews + posts on Day-0 morning. Pre-publish coordination: waggle-os.ai/blog technical post live first (linked from this), arxiv preprint live if Path A succeeded, otherwise methodology.md link.

Version A — Sovereignty-led (RECOMMENDED)

🐝 Today we're launching Waggle OS — and I want to share why.

Every AI assistant forgets you exist between sessions. Every chat starts from zero. That's not memory; that's amnesia.

We built a different layer:

🔹 Memory that persists — local-first, bitemporal knowledge graph, audit-trail grade. 🔹 Harvest from where you already work — ChatGPT, Claude, Gemini, Perplexity exports → one unified memory. 🔹 Agents that get smarter the longer you use them — categorized decisions, preferences, corrections.

On the LoCoMo long-context memory benchmark — apples-to-apples methodology — Waggle's substrate scores 74% vs Mem0's published 66.9%. Same fixture, same model class, transparent judge ensemble. The +7.1pp is real. The methodology is reproducible.

The architecture is sovereign by default — your data never leaves your machine unless you choose. EU AI Act Article 13 audit triggers ship by default. Apache 2.0 hive-mind core is on GitHub today.

Try it free: waggle-os.ai Read the methodology: waggle-os.ai/docs/methodology Open source: github.com/marolinik/hive-mind

Egzakta Group's KVARK enterprise platform builds on this same substrate — same numbers, sovereign deployment, customer-perimeter.

#AIagents #Memory #Sovereignty #LocalFirst #EUAIAct

Char count: ~1,250 (under cap; leaves 50 chars buffer for line break artifacts)

Version B — Methodology-led (academic-leaning)

Today we're publishing Waggle — and the methodology paper behind it.

Most "AI memory" benchmarks compare apples to oranges: different judge ensembles, different cell definitions, no pre-registration. We built one that doesn't:

🔹 Pre-registered manifest with SHA-pinned protocol 🔹 Multi-jurisdictional judge trio (Opus 4.7 + GPT-5.4 + Gemini 3.1, κ=0.7878) 🔹 5-cell ablation (no-context, oracle-context, full-context, retrieval, agentic)

On LoCoMo with this methodology, our substrate scores 74% vs Mem0's published 66.9%. The +7.1pp gap traces partly to architecture (bitemporal KG, IPB compression) and partly to methodology choices the field hasn't standardized.

Why this matters: memory is the moat. Not training, not parameters. The AI that remembers you, your preferences, your decisions — that's the one you'll keep. And that memory has to be auditable for EU AI Act and SOC 2 to even start the enterprise conversation.

Local-first by default. Apache 2.0 hive-mind core. Tauri desktop binary. MCP-native.

Paper: [arxiv link OR methodology.md] Try free: waggle-os.ai OSS: github.com/marolinik/hive-mind

#AIMemory #Benchmarks #Reproducibility #EUAIAct #LocalFirst

Char count: ~1,290 (within cap)

Version C — Founder-voice / honest (alternative)

Six months ago I told my co-founders I was going to build "the memory layer for AI." They thought I was insane.

Today we're shipping it.

Waggle OS is a desktop app + open-source substrate. It does three things most AI assistants don't:

🔹 Remembers what you decided, preferred, and corrected — across all your sessions, across all your AI tools. 🔹 Pulls memory FROM your existing AI exports (ChatGPT, Claude, Gemini, Perplexity) — you don't have to "start fresh." 🔹 Stays on your machine unless you choose otherwise. EU AI Act audit trail built-in.

Benchmark: LoCoMo apples-to-apples, 74% vs Mem0's 66.9%. The methodology paper is live. The substrate is Apache 2.0. The hive-mind core is on npm and GitHub today.

If you're a founder, consultant, or researcher who wishes your AI tools remembered you: try it. Free tier exists forever.

If you're an enterprise looking at memory + AI Act audit trail + sovereignty as a 2026 priority: KVARK (Egzakta Group) is built on this same substrate. Same numbers, customer-perimeter deployment.

waggle-os.ai — try free marolinik/hive-mind — Apache 2.0 OSS

#AI #Memory #FounderJourney #EUAIAct #Sovereignty

Char count: ~1,260 (within cap)

Recommendation

Version A — sovereignty-led. Reasons:

Sovereignty is the differentiator Hermes Agent (110K stars Feb 2026) doesn't have — per Track H Hermes canonical integration, this is the load-bearing positioning angle.
Concrete benchmark number (74% vs 66.9%) anchors the credibility but isn't the lead.
EU AI Act mention plants the enterprise seed (KVARK funnel) without making the post enterprise-flavored.
Three concrete things (memory, harvest, agents) is the most cognitively-accessible structure for a launch post.
Personal voice (🐝 + "I want to share why") balances the technical claims.

When to use Version B: if Pavlukhin endorsement succeeds and arxiv preprint goes live alongside, the methodology-led framing leverages that credibility chain.

When to use Version C: if the founder narrative matters more for this audience and we want to seed "KVARK as enterprise path" without pushing it.

Pre-publish checklist

Day-0 actual achieved (signed binary downloadable from waggle-os.ai)
Landing page Day-0 CTA active (sign-up flow live, Stripe live keys flipped per DAY0-02)
OSS hive-mind v0.2.0 republished (per push-gate ceremony §2.5)
Arxiv preprint live (Path A) OR methodology.md route confirmed live (Path D)
Demo video (90s) URL accessible (CR-4 / CONT-01) — even if "coming soon" is acceptable per Phase 3
Warm list 5-10 names pre-emailed T-72h per M-32 (Marko-side action; not gating but helpful)

Post-publish actions (Marko)

Pin to LinkedIn profile for 24h
Cross-post to X (adapted to 280-char + thread format)
Reply to first 10 comments within 1h to seed engagement
Monitor PostHog dashboard for landing→signup conversion in first 4h
T+5d: post "It's been a week" follow-up (CONT-02-followup, separate draft)
T+10d: post "What we learned" reflection

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