Anthropic just dropped a feature so powerful they barely talked about it.
Claude can now spawn an entire team of AI agents that message each other, review each other's work, and ship projects together.
This changes everything for AI-assisted coding.
I gave Claude 7 prompts and it built my entire YouTube channel.
It planned the content, built the strategy, created the system, and all I did was watch it happen.
Here are the exact 7 prompts 👇🏽👇🏽
🚨A Japanese AI just beat Claude Fable 5 without building a better AI.
They built one that controls Claude, ChatGPT, and Gemini all at once and gets better results than any of them alone.
Here is the full breakdown 👇🏽👇🏽
Anthropic just dropped a feature so powerful they barely talked about it.
Claude can now spawn an entire team of AI agents that message each other, review each other's work, and ship projects together.
This changes everything for AI-assisted coding.
🚨ChatGPT can now help you create, illustrate, and publish a children's book without hiring a writer or illustrator.
These 9 prompts can take you from idea to Amazon-ready book in just a few days.
Save this before its everywhere 👇
Tencent solved one of the most expensive problems in AI and gave the solution away for free.
Your AI agent forgets everything the moment you close the session. Tencent's engineers got tired of it. So they built a memory system that cut token usage by 61% and boosted task success by 51%.
It is called TencentDB Agent Memory. Here is everything you need to know.
The problem is universal. Every AI agent you use Claude Code, Codex, Cursor, OpenClaw, has amnesia. You explain your project. Your conventions. Your preferences. The agent does brilliant work. You close the tab. Open a new session tomorrow.
It has forgotten everything. You start over. Again.
Most of your credits are not going toward new work. They are going toward the agent re-reading old conversations, old tool logs, and old decisions it already processed yesterday. You are paying for context the agent already had and threw away.
Tencent's engineers hit this wall internally. And instead of working around it, they fixed it.
Here is what they built.
TencentDB Agent Memory has two pillars.
Symbolic Short-Term Memory. While your agent works, it generates massive tool logs, search results, code outputs, and error traces. All of it gets stuffed into the context window. Your tokens explode.
TencentDB Agent Memory offloads those heavy logs to external files and replaces them with compact Mermaid diagrams, visual flowcharts that encode the state transitions symbolically. The agent reasons over the lightweight symbol graph instead of re-reading thousands of lines of raw text. When it needs the full details, it drills down from symbol to index to raw file. A fraction of the tokens.
Layered Long-Term Memory. Most AI memory systems dump everything into a flat vector database every fact, every preference, every fragment thrown into one pile. Recall becomes a blind similarity search with no structure.
Tencent built the opposite. A 4-tier memory pyramid.
L0 - Raw conversations. Complete history preserved as evidence.
L1 - Atomic facts extracted from those conversations. L2 - Scenario blocks. Structured Markdown grouping related facts into contexts.
L3 - User profiles. A full persona distilled from everything below- your preferences, workflows, decision patterns.
Lower layers preserve evidence. Upper layers preserve structure. Every layer is inspectable. Every file is human-readable Markdown or JSONL sitting under ~/.openclaw/memory-tdai/. No black box. Open the directory and read exactly what your agent remembers about you.
Here is what the benchmarks show.
Token usage cut by up to 61.38%. Task pass rate improved by 51.52% relative. PersonaMem accuracy raised from 48% to 76%. Measured over 50 consecutive tasks per session on SWE-bench not isolated single turns. Real long-horizon pressure. The kind that makes your agent slow down, lose track, and drain your credits re-processing work it already did.
Here is what makes it safe for production.
Everything runs locally. SQLite with sqlite-vec as the default backend. Zero external API dependencies. Your data never leaves your machine. Finance, healthcare, sensitive codebases nothing touches an external server.
It integrates with OpenClaw as a plugin and with Hermes Agent through a Gateway adapter. MIT licensed. TypeScript. 5,200+ GitHub stars.
Here is the philosophy behind it.
Memory is not about hoarding everything in the AI, it is about sparing humans from having to repeat themselves.
Not every fact deserves the same storage tier. Not every conversation needs re-reading. Not every tool log belongs in the context window. The system decides what to compress, what to promote, what to preserve, and what to surface so the agent arrives at every session already knowing who you are and what you are building.
Every AI agent you use today forgets everything between sessions. Every session starts from zero. Every credit spent re-reading old context is a credit wasted.
Tencent built the system that makes agents remember.
Then gave it to every developer on the planet. For free.
Source: Tencent · MarkTechPost · AI Tech Deep Dives · MIT License · April 2026
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The bottleneck in KOL outreach isn't finding creators. It's what happens after you hit send.
50 emails. 30 replies over 5 days. Each one with a different format for the rate: some in the subject, some buried in paragraph 3, some quoted in USD, some in a currency you have to convert. Then you update the spreadsheet. Then you forget one.
That's the job most people are still doing manually.
I set up Email Genius in @helioim_ai to handle the back half. It watches for replies, extracts the rate regardless of how it's written, and updates Notion without me touching anything. When I need the numbers, I open Notion. That's it.
The sending is the easy part. Build the system that catches what happens after.
Most girls waste their money on skincare because they ignore the basics.
The right order is like this (save it, girls):
1. Sunscreen always before the...
Google has permanently disabled accounts without notice, without explanation, and without any path to human support.
Gmail. Drive. Photos. Every file, every login — erased.
No appeal. No recourse.
This is the protocol that protects you. It takes under an hour to implement.
INSTEAD OF WATCHING A 2-HOUR MOVIE.
Watch this Anthropic Claude for Finance lecture.
It’s probably the best free hour in quant AI right now.
Bookmark it and watch it today, no matter what.