MIRARI

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

[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.

https://t.co/mIpP8a5fw4

And as usual, working on something big. Stay tuned.

[MIRARI @EnterMirari]

Working working working. Hopefully the next update will be live later on today!

[MIRARI @EnterMirari]

GM ☕️

[2147M @2147_Million]

Building it for months you gabaguls.

Partnership with @HatcherLabs soon, I know it.

$Hatcher x $MIRARI

$MIRARI is like $STYXX for Hermes Agents. $STYXX went to 180K.

Let it freaking you pajeets.

[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🚀

[MIRARI @EnterMirari]

$MIRARI has bonded.

Ca: 2cRSwoNKpEzgcQt1CaU6q2ePKE1c6vz52A9AsKR7pump

We assure you. This is just the start.

https://t.co/RvAZBzQV1R

https://t.co/j1xRQrHgJt

[2147M @2147_Million]

.@HatcherLabs knows lol

$MIRARI @EnterMirari = good hermes tech that should freaking bond

[kkzspectre @imminentreset]

Mirari here at 18k mc, token gated usage for Hermes Mirroring architecture.

Been ranging for days and the consolidation is very good entry levels for early high curves of agentic memories and presets for agentic work.

2cRSwoNKpEzgcQt1CaU6q2ePKE1c6vz52A9AsKR7pump

[MIRARI @EnterMirari]

@a_sesshoumaru @tryhermesbox Who did?

[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.

[MIRARI @EnterMirari]

@2147_Million They are, others have dm'd me

[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.

[MIRARI @EnterMirari]

@MehmetKarabog12 @tryhermesbox Whats wrong with the link?

[MIRARI @EnterMirari]

@2147_Million DMs should be open

[MIRARI @EnterMirari]

Good Morning World.

Can't wait for today.

[2147M @2147_Million]

Yo, wtf. What more do you need to bond something lol?

$MIRARI @EnterMirari

[MIRARI @EnterMirari]

@Teknium Love her

[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. ◉

[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

[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."