AGI Labs

The first AI agent swarms framework on @deepseek_ai

First agent @0xbroai trained on data from over 10k crypto bros and KOL accounts on CT

Token not live yet

[AGI Labs @AGILabs_]

Build smarter AI agents with AGI labs! Automate tasks, analyze data, & engage users effortlessly. No coding needed.
https://t.co/SrV1smpXTw

[Abhishek @HeyAbhishek]

10 AI Tools to replace your tedious work

Gamma AI —Create presentation with AI

Gemini Flash —AI image generation and editing

Perplexity AI —Web search/summarization

Replit agent —Build MVPs/mobile apps

Typefully —Social media management

Grok 4 —Deep research tasks

Windsurf AI —Best for AI coding

Kling AI —Create Stunning videos

ChatGPT —Brainstorming

Lovable —AI Websites

So, which is your favourite AI tool?

[Poonam Soni @CodeByPoonam]

OpenAI, Google, and Anthropic released best guides on:

- Prompt Engineering
- Building AI Agents
- AI in Business
- 601 AI use cases

and so much more...

9 best guides you can’t afford to miss:

[Angry Tom @AngryTomtweets]

This is wild...

The first-ever text-to-film AI agent is here.

It can automatically generate an entire film, from script and storyboard to consistent characters, video, voice, lip-sync, LoRA, and music.

Here's how it works: (step-by-step tutorial)

[GREG ISENBERG @gregisenberg]

Clearest path to a $10M ARR b2b AI agent startup

[Dr Alex Young ⚡️ @AlexanderFYoung]

What is an AI agent?

The most misunderstood concept in tech right now.

Everyone’s using the term, but few know how they actually work.

Here’s the real breakdown (plus 10 tools to build your own): 🧵

[AGI Labs @AGILabs_]

Say goodbye to repetitive tasks! AgentFlow’s AI agents automate workflows & integrate with 1000+ tools.

[AGI Labs @AGILabs_]

Build smarter AI agents with AGI labs! Automate tasks, analyze data, & engage users effortlessly. No coding needed.
https://t.co/SrV1smpXTw

[AGI Labs @AGILabs_]

AGI Labs AI agents analyze Twitter trends & craft viral tweets. Stay ahead of the curve with zero effort!

[AGI Labs @AGILabs_]

Paving the way for AI agents.

[Cogni AI Agents @CogniAIAgents]

Building AI Agents isn’t just about code.
It’s about logic, autonomy, tool integration, and real-world execution. ⚙️

With frameworks like ZEREBRO, ARC, and AI16Z, Cogni lets anyone deploy next-gen AI Agents—across apps, platforms, and protocols. ⚙️

This is automation, upgraded. 🦾

Meet Cogni AI ➡️ https://t.co/3soOCtTN5q

#CogniAI #AI #AIAgent #eth

[AGI Labs @AGILabs_]

We have been testing it to make it compatible with our AI framework

[Google AI Developers @googleaidevs]

🦉 Automate complex tasks using Gemini 2.5 Pro and @CamelAIOrg’s OWL (Optimized Workforce Learning), an open-source multi-agent collaboration framework that works together like a real-world project team.

[AGI Labs @AGILabs_]

LangGraph: The framework for building stateful, structured AI agents.
Learn more here: https://t.co/TJpvcFXFSR

[matt palmer @mattyp]

Pydantic quietly dropped the most straightforward framework for building AI Agents.

This ~28 liner builds an agent that can fetch URLs with a "fetch" MCP server.

[Scattering @scattering_io]

#newsflash In the past 24 hours, the GitHub repository for ElizaOS gained 40 new stars, making it the most-starred framework project within this timeframe. This highlights ElizaOS's continued leadership in the Web3 AI Agent framework space.

$AI16Z @123skely @ElizaEcoFund

[Maham Codes 👩‍💻 @MahamDev]

this is wild - an AI Primitive best for AI agents RAG.

Episode 4 is about the Chunker AI primitive by Langbase

This is especially useful for RAG pipelines and building AI agents.

No heavy AI Framework needed.

[AGI Labs @AGILabs_]

We recently built Open-source framework for creating and managing AI agents, integrates with tools and APIs.

[AGI Labs @AGILabs_]

This is a great post on AI agents

[Dr. Khulood Almani | د.خلود المانع @Khulood_Almani]

🤖💥 What if #AI could think, act, remember & collaborate like a teammate❓

🎯The prompt era is fading…
Welcome to the age of agentic AI ⚙️🧠✨

💡Here’s a visual breakdown of the 5️⃣core layers driving this evolution⤵️

🔴 𝗔𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝗼𝗻 & 𝗘𝘅𝗲𝗰𝘂𝘁𝗶𝗼𝗻 𝗟𝗮𝘆𝗲𝗿
Agents that ➤ act, automate, and operate within defined environments
→ RPA – Automates rule-based workflows
→ AutoGen / CrewAI – Multi-agent orchestration frameworks
→ LangGraph – Visual, graph-based agent orchestration
→ API / Toolformer / Function Calling – External tool interfaces and dynamic task routing

🟢 𝗖𝗼𝗴𝗻𝗶𝘁𝗶𝗼𝗻 & 𝗥𝗲𝗮𝘀𝗼𝗻𝗶𝗻𝗴 𝗟𝗮𝘆𝗲𝗿
Agents that ➤ reason, plan, and adapt
→ ReAct – Combines reasoning with real-time action
→ Chain-of-Thought / Plan-and-Execute – Logical and long-term planning
→ Self-Consistency / Reflection – Enhances accuracy and enables self-evaluation
→ AutoGPT / BabyAGI – Goal-driven execution with memory loops

🔵 𝗠𝗲𝗺𝗼𝗿𝘆 & 𝗞𝗻𝗼𝘄𝗹𝗲𝗱𝗴𝗲 𝗟𝗮𝘆𝗲𝗿
Agents that ➤ learn, recall, and evolve over time
→ ChromaDB / FAISS – High-speed vector retrieval
→ LlamaIndex / LangChain Memory – Knowledge interfaces and episodic memory
→ MemoryGPT – Personalized recall-based agent behavior

🟣 𝗖𝗼𝗹𝗹𝗮𝗯𝗼𝗿𝗮𝘁𝗶𝗼𝗻 & 𝗘𝗻𝘃𝗶𝗿𝗼𝗻𝗺𝗲𝗻𝘁 𝗟𝗮𝘆𝗲𝗿
Agents that ➤ perceive context, interact, and operate in the real world
→ Multi-Agent Systems – Teams solving tasks in parallel
→ Environment Perception – Understanding context (files, web, user)
→ Sensors & Actuators / Feedback Loops – Physical-world interaction and learning
→ Autonomous Agents – Self-operating with goal-seeking behavior

🟠 𝗟𝗮𝗻𝗴𝘂𝗮𝗴𝗲 & 𝗨𝗻𝗱𝗲𝗿𝘀𝘁𝗮𝗻𝗱𝗶𝗻𝗴 𝗟𝗮𝘆𝗲𝗿
Agents that ➤ communicate, interpret, and align with humans
→ LLMs – Foundation models (GPT, Claude, Gemini, etc.)
→ NLP / TTS / ASR – Language processing and voice interfaces
→ Instruction Tuning / RAG / Agent Prompting – Enhancing agent comprehension and grounding

📍💡If you're building in:
→ AI automation
→ Agent-based systems
→ RAG pipelines
→ Multi-agent collaboration
→ Self-healing workflows

🚀This framework will help you align the right components across the full AI agent stack.

by/ @brijpandeyji

#AgenticAI #Innovation #AutonomousAgents

@enilev @Jagersbergknut @TysonLester @CurieuxExplorer @GlenGilmore @chidambara09 @jeancayeux @BetaMoroney @mvollmer1 @Nicochan33 @RLDI_Lamy @pierrepinna @pierrecappelli @pchamard @Analytics_699 @ALLavalette @JeromeMONANGE @Fabriziobustama @mikeflache @PawlowskiMario @theomitsa @drsharwood @kalydeoo @TAEVisionCEO @baski_LA @AnthonyRochand @smaksked @Eli_Krumova @andresvilarino @FrRonconi @fernandolofrano @gvalan @bimedotcom @dinisguarda @FmFrancoise @nafisalam @Mhcommunicate @AlAmadi1 @jblefevre60 @smoothsale @amalmerzouk @PVynckier @bbailey39 @Corix_JC @anand_narang @bamitav @jasuja @NewsNeus @KanezaDiane

[Unwind AI @unwind_ai_]

RAG is not Memory.

AI agents need long-term memory to maintain context and learn continuously.

5 frameworks for AI agent memory.

100% opensource.

1. Graphiti builds temporally-aware knowledge graphs for AI agents that change over time with evolving relationships and context.