M (M)Price Live Chart, Prediction, Market Cap, Token Unlocks, M Concept Stocks CoinMeta

BTC

$68,555.99

+2.88%

/M Price

No.42

$2.4545

+5.11%

≈$2.45

Market Cap

$13.09B

Cir. Cap

$3.1B

Cir. Supply

1.26B

Cir. Rate

23.7148%

Total Supply

5.33B

Max Supply

10B

24h Volume

$5.34M

24h Vol (BTC)

13.1M

24h Turnover

0.422174%

Market Share

0.07%

Performance

Low

Range

+0%

High

Listing

$0.07

ATH (2025-07-03)

$2.96

-17.07%

ATL (2025-09-18)

$0.03524

+6864.2%

Official

Contract

BSC: 0x22b1...c731fa

Official

Whitepaper

github

Social

Discord

Network

Converter

OKX Exchange

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Binance Exchange

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Chart

Market

About

XBIT Invite: Earn points & commission

Price

Cap

K-line

Depth

1 Hour

1 Day

TradingView

+1.97%

24H

+5.11%

+43.35%

30D

+61.77%

-4.31%

All

+3.41K%

AI Assistant

M下跌原因

M资金流向

M买卖支撑位

M多空比分析

M趋势分析

Ask AI

M Market

CEX Spot

CEX Derivatives

Pairs Funds

#	Exchange	Pairs	Price	+2%Depth	-2%Depth	Volume (24h)
1	gate.io	MUSDT	2.4719	$3,451.60	$6,251.36	252,724
2	MEXC Global	MUSDT	2.46592	$3,451.60	$6,251.36	635,745
3	Hotbit	MUSDT	2.46841	$3,451.60	$6,251.36	1,745,362
4	Bitget	MUSDT	2.466613	$3,451.60	$6,251.36	1,888,316

4 items

Rows

#	Unlock Date	Unlock Amount	Unlock Value	Total Supply %	Unlock Details
1	2026/04/03	56.11M	$137.73M	1.12%	4
2	2026/05/03	56.11M	$137.73M	1.12%	4
3	2026/06/03	56.11M	$137.73M	1.12%	4
4	2026/07/03	56.11M	$137.73M	1.12%	4
5	2026/08/03	56.11M	$137.73M	1.12%	4

About M

MemeCore is the first Layer 1 blockchain, built for Meme 2.0 — a new paradigm where meme coins transcend speculation to become engines of culture, value, and community coordination. In this new era, memes are not just content — they are currency, governance, and creative expression.

73%

26%

Bullish

Bearish

Community

Diving Observer 🇨🇳

0s ago

I'm disgusted. How could I make such a mistake?

393

DeFi miner 🔶 BNB

0s ago

I'm planning a trip next week. A four-night hotel is 1723 RMB on Ctrip, but only 1579 RMB on Xianyu. Is it worth booking on Xianyu? 🤔 It doesn't seem like I'll save much money.

409

Haotian | CryptoInsight

2m ago

Let's talk about the accidental leak of @claudeai's source code. In short: this production-grade Agent OS system design provides @openclaw with a solid model for building systems engineering capabilities, and the AI OS field is about to reach new heights: 1) In the past two years, the core problem for agents has never been that the models weren't smart enough, but that the systems weren't reliable enough. Models can write code, but writing code doesn't guarantee it will run. Models can execute tasks, but after running for a long time, the context decays, creating illusions upon illusions. Models can remember things, but no one tells them what to remember or how to verify if the memory is correct. In Claude Code's source code, these three problems all have clear engineering solutions: --Context decay: A three-layer memory architecture, with only lightweight indexes in the resident context pointing to external files, and historical conversations never read back in their entirety, only the necessary fragments are grepped. Writing is strictly disciplined; the index is only updated upon successful file writing, and failed attempts are not entered into the memory. --Generation does not equal completion: A separate verification agent is dedicated to verification. The system prompts themselves contain 2866 tokens, completely separated from the generation module. In addition, an assertiveness counterweight mechanism actively questions its own conclusions, ensuring that "appearing complete" is not considered "truly complete." --How tasks survive when the user is not present: KAIROS, a background daemon appearing more than 150 times in the code, continuously runs autoDream when unsupervised, integrating observations, removing contradictory inferences, and solidifying vague impressions into clear facts. When the user returns, the agent's state is proactively maintained. Putting these three solutions together, Anthropic's logical approach becomes clear: decoupling model capabilities from system reliability. The model is responsible for generation, while the system is responsible for verification, memory, recovery, and scheduling. 2) This set of engineering capabilities and optimization logic is precisely OpenClaw's current weakest point. Despite OpenClaw's meteoric rise to over 340,000 GitHub stars in just five months—a speed rarely matched in open-source history—community criticism has been constant. Issues include: task looping, false completions (the agent reports "complete" as soon as the code is written, without any verification), state loss, rudimentary memory management relying solely on markdown, and widespread plugin crashes after refactoring. These aren't random bugs; the root cause boils down to one thing: a lack of systematic engineering capabilities for managing global state. Now, by referencing the leaked source code of Claude Code, we can simply copy the solution, filling in the gaps and providing a clear reference: No independent verification sub-agent → Refer to the Verification Specialist architecture, forcing an independent verification layer after execution; Memory relies on whole-segment reads and writes → Refer to a three-layer memory architecture + strict write discipline, separating context indexes from actual content; Task state is not persistent → Refer to 25+ lifecycle hooks + sessionId recovery mechanism, making "no task loss upon restart" a standard feature; Lack of robust tool permissions → Refer to 2500 lines of bash verification logic + permission schema, performing verification and permission grading before each tool execution; That's all. Honestly, I'm looking forward to the next version of OpenClaw. Because if this approach is carefully ported in, all the problems that OpenClaw currently faces criticism might be easily solved. And once these advantages are addressed, OpenClaw's inherent strengths—local operation, privacy protection, and an open ecosystem—will truly be accelerated, which is precisely the outcome Anthropic least wants to see. Haha, what a coincidental, man-made mishap, happening precisely when Anthropic was frantically iterating its product line and OpenClaw's momentum was waning. Now, let's see how the OpenClaw ecosystem performs in this situation.

389

Bitcoin tycoon daheng.btc

3m ago

Today is April Fool's Day. I said I'd give away 10,000 RMB, and asked if anyone would participate by leaving their Binance UID. I'm just asking if anyone believes me. Is it an April Fool's joke or a real giveaway? I'm not telling you.

313

57m ago

Thank you for the invitation, CoinPay! Watching baseball live was so much fun! Especially when Rakuten hit a home run in the bottom of the first inning, it was absolutely electrifying! Although they lost in the end, it's okay, because I'm supporting Taiwanese girl this time!

306

Murad 💹🧲

1h ago

The official allocation has been 100% to SPX6900, up from 93% previously. I just converted all my BTC and speculative holdings into even more SPX. This price is absolutely insane; we're in one of the greatest accumulation periods in history. You and I are different. You're still looking for the next trading opportunity, while I already know what the next BTC price will be, and I'm now 100% invested in SPX. I've never felt so secure in my life with this all-or-nothing feeling.

491

GiGi Lucky Pig

1h ago

Just saw the news that the world's first national leader born in the 1990s has arrived It's Nepal's new Prime Minister! The comments section says: "I've only ever used their rice cookers." I'm laughing so hard! Do you guys understand what I mean by "funny"? 🤣🤣

349

Jasper 🌰

2h ago

BTC $68,513 Fees 0.0037% | Open Interest $409.917 billion (+0.60%) | Liquidations $121M Near-zero fees = extremely low cost of going long. Smart money is building positions at this time.

445

OdailyNews

3h ago

In just three months, it nearly increased eightfold! 🫠 The capital market's shift in its logic regarding the #AI sector: from focusing on "how much money is made now" to focusing on "how much can be harvested in the future." Despite a loss of 4.7 billion yuan and revenue falling short of expectations, Zhipu's stock price surged 32% after its first financial report, pushing its market capitalization above HK$400 billion. According to 1M AI News, Zhipu, an AI large-scale model company, saw its stock price surge 32.44% today, reaching a total market capitalization of HK$409.5 billion, a record high. Zhipu debuted on the Hong Kong Stock Exchange on January 8th with an issue price of HK$116.20, achieving a market capitalization of approximately HK$52.8 billion on its first day of trading. After the market closed yesterday, Zhipu released its first annual financial report since its listing. Total revenue for 2025 was 724 million yuan, a year-on-year increase of 131.9%, but lower than analysts' previous expectations of 756 million yuan; net loss was 4.718 billion yuan, a year-on-year increase of 59.5%. Gross profit increased by 68.7% year-on-year to RMB 297 million, while the gross profit margin decreased from 56.3% to 41.0%, mainly due to the increased proportion of cloud business dragging down the overall figure. R&D expenditure reached RMB 3.18 billion, a year-on-year increase of 44.9%, which is 4.4 times the revenue during the same period.

390

Jasper 🌰

3h ago

Nasdaq: 21,591 BTC: $69,140 Derivatives: Fee 0.0037% | OI $413.444 billion (+0.43%) | Liquidations $118M Sentiment is overheated. Set stop-loss orders.

491