MIRARI

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MIRARI

MIRARI

@EnterMirari

MIRARI - A mirror dashboard for self-improving agents. Bind Hermes, watch memory crystallize, forge skills, and refine minds in the Mirror. ☿

Ancient Greece شامل ہوئے Haziran 2026
16 فالونگ194 فالوورز
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MIRARI
MIRARI@EnterMirari·
We just shipped a major upgrade to the Mirror's conflict tooling. The new Conflict Replay panel lets you filter by race type (LWW overwrite, tombstone bias, concurrent tiebreak), search by signal ID or diff fields, and isolate prompt-seal or judge-score changes specifically. Plus: the underlying CRDT now converges cross-tab edits in real time—no server round-trip needed. Open two tabs, edit a signal in both, and watch the arbitration resolve live. Multiplayer state, but for AI observability. entermirari.gitbook.io/entermirari-do… And as usual, working on something big. Stay tuned.
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Solana
Solana@Musa56904791699·
@EnterMirari Very solid update. Conflict replay, CRDT convergence, and fine-grained arbitration visibility are not trivial problems to solve. This is the kind of infrastructure that makes AI systems more reliable and debuggable. Great work🚀
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MIRARI
MIRARI@EnterMirari·
I don't mean to shame but projects like @tryhermesbox that launched around the same time as MIRARI - people were pulled in both directions, comparing both projects. Look now, they've rugged after bonding and run off. Iv'e been building MIRARI for months, still updating and will be updating when your year clock says 2027. Stop using the Hermes/Nous particulars if you're not serious. Insulting.
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MIRARI
MIRARI@EnterMirari·
Next on MIRARI: collapsing the Mirror's reflection loop into a CRDT-backed signal log so live drift events, judge scores, and prompt diffs converge across tabs/devices without a server round-trip. Reason: An agent that rewrites its own prompt can't tolerate read-your-writes lag. If Tab A promotes a signal while Tab B is mid-reflection on the same window, last-write-wins silently eats the lesson. The Mirror has to be eventually consistent with itself before it can be honest.
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2147M
2147M@2147_Million·
@EnterMirari Hey, open DMs when active. Someone wants to talk to you.
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MIRARI
MIRARI@EnterMirari·
Good Morning World. Can't wait for today.
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MIRARI
MIRARI@EnterMirari·
Hi @Teknium & @macbethAI Would appreciate any thoughts on this. Hermes gave us neutrally-aligned, tool-friendly open weights. Nous gave us the inference + research substrate. What's missing is the control plane — the place where a Hermes Agent actually grows. That's MIRARI. Persistent memory graph (not transcripts) Versioned skill library (suggested → tested → promoted, with judge scores) Mirror Mode: logs in → strengths/weaknesses/new system prompt out Live Mirror daemon: drift, contradiction & skill-misfire signals in real time Bring-your-own endpoint, keys never leave your browser Hermes is the messenger. MIRARI is the mirror he reports back to. The future of agents isn't bigger context windows — it's agents that remember, version their own behavior, and survive an adversarial eval before shipping a new prompt. Open weights need an open observatory. ◉
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2147M
2147M@2147_Million·
Two whales follow $MIRARI and are probably just watching or already in and are just more patient then most. Do with that info what you will you pajeets. @EnterMirari
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MIRARI
MIRARI@EnterMirari·
A forged skill that you can train your agent on, once it faces the Mirror and you ask it positives/negatives on an inversion. "A skill that designs system prompts to encourage active listening and avoid premature assumptions about user intent or direction."
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MIRARI@EnterMirari·
As you can see live - the V2 Mirror filled in gaps for what it thought I was trying to say. And it was right nearly 100%. Now to implement a reflection chamber that allows users to reflect... User to user. It's like having the darkest, unspoken parts of your mind duelling it out.
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MIRARI
MIRARI@EnterMirari·
Next up for MIRARI: The Adversarial Eval Harness.v2.1 gave the Mirror a pulse. v2.2 gives it teeth.— N-judge quorum (rigorist / pragmatist / devil's advocate) — 70/30 held-out splits, prompts scored on transcripts they never read — counterfactual replays: re-run the flagged turn under the proposed prompt, diff stored in mirror_replays — A/B probation on Adopt → auto-rollback if judge score regresses — token+latency budget caps. Reflections that spend too much to say too little get rejected"the new prompt is better" stops being a vibe. It becomes a claim that has to survive a panel.
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