Video yükleniyor...

Video Yüklenemedi

Ana Sayfaya Dön

Letta Code can now run **fully locally** with an embedded server - no login or Docker required Memory is stored locally, but can be synced to GitHub with `/memory-repository` Now includes builtin support for local LLMs (ollama LM Studio) through pi-ai from Mario Zechner

Letta_AI's profile picture

Letta

9,322 subscribers

20,350 görüntüleme • 1 ay önce •via X (Twitter)

LIVE

Anya Rossi• Live Now

Private livecam show

0 Yorum

Yorum bulunmuyor

Orijinal gönderinin yorumları burada görünecek

Benzer Videolar

My app AI Renamer now supports local AI models. You can easily use Ollama or LM Studio to privately rename all your files locally.
0:40

My app AI Renamer now supports local AI models. You can easily use Ollama or LM Studio to privately rename all your files locally.

Ozgur Ozer

17,059 görüntüleme • 1 yıl önce

Introducing Docker 🐳 AI Models for local + private LLMs in VSCode 🤩 You can now use Docker as a local model provider in VSCode, JetBrains, Cursor, and soon Visual Studio Enterprise. With Docker Model Runner (v4.40+), run AI models locally on your machine... no data sharing, no cloud dependency 👏 Just update Docker, open CodeGPT, select the model, click "Download", and enjoy 👉 Here’s how to update Docker:
1:01

Introducing Docker 🐳 AI Models for local + private LLMs in VSCode 🤩 You can now use Docker as a local model provider in VSCode, JetBrains, Cursor, and soon Visual Studio Enterprise. With Docker Model Runner (v4.40+), run AI models locally on your machine... no data sharing, no cloud dependency 👏 Just update Docker, open CodeGPT, select the model, click "Download", and enjoy 👉 Here’s how to update Docker:

Daniel San

65,125 görüntüleme • 1 yıl önce

You can now run supermemory locally. Introducing the supermemory local - Fully self-contained. Comes with our graph engine, embedding model, etc. - Run on any machine, with your OpenClaw🦞, hermes, claude, etc. - SDKs to add memory to your agent, or build your company brain.
1:16

You can now run supermemory locally. Introducing the supermemory local - Fully self-contained. Comes with our graph engine, embedding model, etc. - Run on any machine, with your OpenClaw🦞, hermes, claude, etc. - SDKs to add memory to your agent, or build your company brain.

Dhravya Shah

627,629 görüntüleme • 17 gün önce

PEOPLE ARE NOW RUNNING CLAUDE CODE WITH LOCAL AI MODELS TO AVOID API COSTS. By connecting tools like Ollama and Gemma 4, developers can build apps locally with unlimited usage and no monthly billing.
8:30

PEOPLE ARE NOW RUNNING CLAUDE CODE WITH LOCAL AI MODELS TO AVOID API COSTS. By connecting tools like Ollama and Gemma 4, developers can build apps locally with unlimited usage and no monthly billing.

0xMarioNawfal

157,677 görüntüleme • 1 ay önce

AI agents now get memory that’s real-time, secure, and structured. SurrealMCP connects your AI tools to SurrealDB with zero glue code. Run locally, on-prem, or in SurrealDB Cloud. Learn more.👇
1:08

AI agents now get memory that’s real-time, secure, and structured. SurrealMCP connects your AI tools to SurrealDB with zero glue code. Run locally, on-prem, or in SurrealDB Cloud. Learn more.👇

SurrealDB

1,512,827 görüntüleme • 10 ay önce

Open Interpreter's new release looks great for locally running LLMs The tool lets LLMs run code (Python, Javascript, Shell, and more) locally. You can chat with Open Interpreter through a ChatGPT-like interface in your terminal by running $ interpreter after installing. Just do `pip install open-interpreter` and then just run `- interpreter --local` sets up fast, local LLMs. Congrats killian 👏
1:23

Open Interpreter's new release looks great for locally running LLMs The tool lets LLMs run code (Python, Javascript, Shell, and more) locally. You can chat with Open Interpreter through a ChatGPT-like interface in your terminal by running $ interpreter after installing. Just do `pip install open-interpreter` and then just run `- interpreter --local` sets up fast, local LLMs. Congrats killian 👏

Rohan Paul

154,611 görüntüleme • 2 yıl önce

Introducing Deep Graph Codebase to MCP with One Click... Now Available for Gemini CLI too! 🤩 Transform any public GitHub repository into an AI-ready Code Graph by simply changing the URL from to This instantly prepares the repository for seamless integration with AI assistants. It's that easy! You can now use repositories like ollama as a code graph within any project using Gemini CLI... just add the MCP Server JSON configuration to your .gemini/settings.json file
1:01

Introducing Deep Graph Codebase to MCP with One Click... Now Available for Gemini CLI too! 🤩 Transform any public GitHub repository into an AI-ready Code Graph by simply changing the URL from to This instantly prepares the repository for seamless integration with AI assistants. It's that easy! You can now use repositories like ollama as a code graph within any project using Gemini CLI... just add the MCP Server JSON configuration to your .gemini/settings.json file

Daniel San

51,534 görüntüleme • 1 yıl önce

Your AI agent is costing you money for no reason. OpenClaw can now run UNLIMITED for free. No subscriptions. No token limits. No cloud dependency. All you need: • Max Studio • Ollama • GLM 4.7 Flash Install it once. Run it locally. Unlimited tokens. Most people are still paying monthly for what you can now run free.
0:32

Your AI agent is costing you money for no reason. OpenClaw can now run UNLIMITED for free. No subscriptions. No token limits. No cloud dependency. All you need: • Max Studio • Ollama • GLM 4.7 Flash Install it once. Run it locally. Unlimited tokens. Most people are still paying monthly for what you can now run free.

Julian Goldie SEO

44,309 görüntüleme • 4 ay önce

Maestro - Run multiple Docker AI agents locally in one repo with automatic branching and firewalls. Clone it now on Github. The podium is yours. Conduct the agents. Compose the future.
0:59

Maestro - Run multiple Docker AI agents locally in one repo with automatic branching and firewalls. Clone it now on Github. The podium is yours. Conduct the agents. Compose the future.

UpRock

1,884,591 görüntüleme • 7 ay önce

LLMs are stateless. We built Dria Mem Agent to change that: Making memory a first-class feature. A 4B agent with local interoperable memory across Claude, ChatGPT and LM Studio. It turns LLMs from stateless chat into stateful agents with persistent human-readable memory.
1:03

Sensitive content

LLMs are stateless. We built Dria Mem Agent to change that: Making memory a first-class feature. A 4B agent with local interoperable memory across Claude, ChatGPT and LM Studio. It turns LLMs from stateless chat into stateful agents with persistent human-readable memory.

Dria

169,981 görüntüleme • 9 ay önce

With @Figma's MCP server, you can now make changes directly to your files using GitHub Copilot CLI or Visual Studio Code. ✨ Try it out 👇
1:01

With @Figma's MCP server, you can now make changes directly to your files using GitHub Copilot CLI or Visual Studio Code. ✨ Try it out 👇

GitHub

140,772 görüntüleme • 3 ay önce

I'm so in love with antirez' ds4. Patched some slop on it to get better streaming, but I can just install a pi extension on a 128GB mac and it manages everything for me. No need for mlx-lm, ollama or lm studio or finagling pi configs.
1:33

I'm so in love with antirez' ds4. Patched some slop on it to get better streaming, but I can just install a pi extension on a 128GB mac and it manages everything for me. No need for mlx-lm, ollama or lm studio or finagling pi configs.

Armin Ronacher ⇌

56,223 görüntüleme • 1 ay önce

Native whisper.cpp server with OAI-like API is now available $ make server && ./server This is a very convenient way to run an efficient local transcription service locally on any kind of hardware (CPU, GPU (CUDA or Metal) or ANE) thx felrock
0:29

Native whisper.cpp server with OAI-like API is now available $ make server && ./server This is a very convenient way to run an efficient local transcription service locally on any kind of hardware (CPU, GPU (CUDA or Metal) or ANE) thx felrock

Georgi Gerganov

171,380 görüntüleme • 2 yıl önce

The ultimate local AI developer platform is here. AMD Ryzen AI Halo presale is now live! Built for #AMDevs, Ryzen AI Halo delivers the performance, memory, and AI capabilities needed to build, test, and run agentic AI, generative AI, LLM applications, and more locally. Reserve yours now:
1:24

The ultimate local AI developer platform is here. AMD Ryzen AI Halo presale is now live! Built for #AMDevs, Ryzen AI Halo delivers the performance, memory, and AI capabilities needed to build, test, and run agentic AI, generative AI, LLM applications, and more locally. Reserve yours now:

AI at AMD

19,309 görüntüleme • 18 gün önce

"I don’t have a GPU" is no longer an excuse 🤯 You can now train LLMs directly in VS Code using a free Google Colab runtime. → Connect any fine-tuning notebook to Colab → Train locally or on a free cloud GPU → Works with Unsloth
0:38

"I don’t have a GPU" is no longer an excuse 🤯 You can now train LLMs directly in VS Code using a free Google Colab runtime. → Connect any fine-tuning notebook to Colab → Train locally or on a free cloud GPU → Works with Unsloth

Alvaro Cintas

86,187 görüntüleme • 4 ay önce

Introducing Ollama fully Integrated into VSCode with CodeGPT Now you can download open-source models from ollama with a single click and install them as code assistants in VSCode. In this case, I download the qwen2:0.5b (Qwen) model in under a minute, and it becomes fully functional with just one click. The era of locally running code assistants has begun! 🚀
1:14

Introducing Ollama fully Integrated into VSCode with CodeGPT Now you can download open-source models from ollama with a single click and install them as code assistants in VSCode. In this case, I download the qwen2:0.5b (Qwen) model in under a minute, and it becomes fully functional with just one click. The era of locally running code assistants has begun! 🚀

Daniel San

101,567 görüntüleme • 2 yıl önce

🤯 Wow! In one prompt Qwen3-Coder-Next generated a fully working flappy birds game in HTML. (0:05) Claude Code with Qwen3-Coder-Next (0:26) Shows the game running Run it fully locally: ollama pull qwen3-coder-next Ollama's cloud if you can't run it locally: ollama pull qwen3-coder-next:cloud Try launching it with Claude Code using ollama launch (link to play 🧵) So cool! Qwen Tongyi Lab Junyang Lin
0:43

🤯 Wow! In one prompt Qwen3-Coder-Next generated a fully working flappy birds game in HTML. (0:05) Claude Code with Qwen3-Coder-Next (0:26) Shows the game running Run it fully locally: ollama pull qwen3-coder-next Ollama's cloud if you can't run it locally: ollama pull qwen3-coder-next:cloud Try launching it with Claude Code using ollama launch (link to play 🧵) So cool! Qwen Tongyi Lab Junyang Lin

ollama

117,339 görüntüleme • 4 ay önce

OPENCLAW + OLLAMA CAN TURN YOUR LAPTOP INTO A LOCAL AI AGENT STACK WITH $0 QUERY COSTS. Research agents, content agents, support agents, and automations all running locally instead of paying for every prompt.
8:40

OPENCLAW + OLLAMA CAN TURN YOUR LAPTOP INTO A LOCAL AI AGENT STACK WITH $0 QUERY COSTS. Research agents, content agents, support agents, and automations all running locally instead of paying for every prompt.

0xMarioNawfal

83,732 görüntüleme • 3 ay önce

current OpenClaw🦞's memory system sucks. it's only hosted locally and you have to manually add memories. you can now connect Momo's memory as an OPENCLAW PLUGIN. > cloud-backed, encrypted, persistent > auto indexing, storage & memory management > shared across teams get an api key at Momo and run: openclaw plugins install Phil-memory/momo-memory
1:14

current OpenClaw🦞's memory system sucks. it's only hosted locally and you have to manually add memories. you can now connect Momo's memory as an OPENCLAW PLUGIN. > cloud-backed, encrypted, persistent > auto indexing, storage & memory management > shared across teams get an api key at Momo and run: openclaw plugins install Phil-memory/momo-memory

Cailyn Y.

59,503 görüntüleme • 4 ay önce