MemClaw
Governed shared memory for AI agent fleets
What this is
A shared memory and governance layer so multiple AI agents can recall what the others learned - backend infrastructure for developers building agent fleets, not an end-user app.
Our one-line summary — not the founder’s tagline.
- How it works
- A shared memory layer for multi-agent AI fleets: agents write what they learn and recall what the fleet knows, with mandatory governance rules (Keystones) enforced at session start.
- What's different
- Detects contradictions between memories via RDF triples plus LLM analysis, and deduplicates near-duplicate memories into atomic facts with provenance via its Crystallizer.
- Best for
- Developers building multi-agent AI systems who need cross-agent recall without knowledge silos or leaks.
What we measured
Nobody else publishes this — it comes from knocking on the door every day.
- Watched by us
- 13 days
- Last checked
- 2d ago
Where it shows up
Every group here is a page of its own — each one checked daily.
The numbersIs it still shipping, is it overpriced, where did it land — and what the price is built from.
League price & chart
No money. No seat. It goes on your record — and in 28 days reality settles it.
Calls are closed while we rebuild accounts. You can still read every one of them.
AI. Launched 13d ago on PeerPush, where it placed #533. Today, the site itself changed 2d ago — evidence it's still shipping, not just announcing.
Quiet for 2 days — no penalty yet, but quiet doesn't stay free.
We check this site every day, ourselves. A founder can post “still working on it” — a claim like that doesn't price. What we price is what we can verify from the outside: evidence, not announcements. The real question isn't “will this be huge?” — it's “will they still be moving in four weeks?”
Shipping record
1 separate day we saw this ship · source: page changed
Beyan değil kanıt: founder “çalışıyoruz” diye post atabilir, ama sevk ettiyse izi kalır. ⚠️ Kaydı olmayan ürün “sevk etmedi” demek değildir — o üründe izleyecek bir kaynağımız yok demektir.
The market viewHow this launch is priced and ranked in our league — the investor side of the page.
ranked by the reality anchor, not the market price
It placed #533 on PeerPush with 2 votes.
No matter how much money goes in. There is no pump here — you can't make yourself right by buying more. The line only moves on things that actually happened: an award, revenue that grew, a new platform, code that shipped — or silence.
En eski 1 hareket bu listede yok — toplam 13 olay var. 1 quiet day in between are left out — nothing happened on them. A launch that goes quiet eases down a little at a time — never a cliff you could have run from the night before.
How the launch is moving on its own board, day by day — the crowd's attention.
A flat line is normal: votes stop within a day or two of launch, on every board. What's unusual — and what actually counts — is a launch that keeps pulling votes long after its day is over.
About
MemClaw is the governed shared memory layer for multi-agent AI fleets. Instead of each agent operating in isolation, agents write what they learn, recall what the fleet knows, and get smarter with every interaction. Key Features Cross-agent, cross-fleet recall so discoveries compound instead of dying in silos — without leaking what they shouldn't Keystones — mandatory governance rules that every agent obeys at session start, overriding conflicting instructions Contradiction detection — conflicting memories caught via RDF triples + LLM analysis. Knowledge stays clean automatically Per-agent retrieval tuning — each agent optimises its own search profile. Every query gets smarter LLM Crystallizer — deduplicates and merges near-duplicate memories into atomic facts with full provenance 8-status memory lifecycle — memories transition automatically, no manual cleanup What Makes It Different Not a vector DB wrapper — adds fleet orchestration, governance, audit trails, and self-learning on top of pgvector SOC 2 compliant, Apache 2.0 open source MCP-native — works with Claude Desktop, Claude Code, Cursor, Windsurf in 30 seconds Proof it works In production at eToro (NASDAQ: ETOR) — 300+ agents, 26,500+ memories, 23ms p50 search memclaw 77.6% LoCoMo accuracy, 96.6–98.2% token savings vs full context, 11,500 downloads in week one Who it's for Engineering teams running multi-agent AI fleets Enterprises needing governed, auditable agent memory Developers building on Claude, Cursor, or OpenClaw
Where it launched
1 platform| Platform | Votes | Counts toward price | Link |
|---|---|---|---|
| PeerPush | 2 | sets the price | ↗ |
The board it did best on sets the price. Every other board only adds to it if the launch also placed high on that board too — because just showing up somewhere isn't an achievement. Listing on twelve directories is free; placing well on them isn't.
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