AI agent Archives

Tech Optimizer

September 2, 2026

Connecting My LangGraph AI Agent to Postgres

A stateful LangGraph agent was developed to streamline a 15-minute booking process, mimicking a customer service representative. It features a user-friendly Streamlit UI and a backend powered by a Postgres database. The agent can respond to customer queries, calculate service prices, manage acceptance or rejection of services, propose appointment time slots, and confirm booking details. The agent operates in two persistence modes: in-memory for quick testing and Postgres for durability. Testing can be conducted locally with Streamlit or using Docker to simulate a production environment. Docker allows the application to interact with a PostgreSQL server without local installation, enhancing reproducibility. The project includes a docker-compose.yml file to initiate a PostgreSQL container, and users can also utilize a cloud-based Postgres solution. The application behavior remains consistent regardless of the database setup. The complete source code is available on GitHub for testing and further enhancements.

Tech Optimizer

September 1, 2026

Connecting My LangGraph AI Agent to Postgres

A stateful LangGraph agent was developed to streamline a 15-minute booking process, featuring a user-friendly Streamlit UI and a backend powered by a Postgres database. The agent responds to customer queries, calculates service pricing, manages service acceptance, suggests time slots, and confirms appointment details. It operates in two modes: in-memory for rapid testing and Postgres for persistent storage. Testing can be done locally using Docker, which simulates a Postgres environment, or with a hosted Postgres instance. The project includes a docker-compose.yml file to initiate a PostgreSQL 16 container, allowing the application to connect to the database. Data persistence is ensured through Docker volumes, and the application can be run with specific commands after setting up the environment variables. The system has been tested successfully, demonstrating its ability to manage bookings and maintain data integrity across sessions. Future enhancements are planned to improve the booking workflow and integrate additional communication channels.

AppWizard

August 26, 2026

Multilogin releases open-source agent so AI can run social accounts on real Android cloud phones

Multilogin has launched an open-source AI agent for social media management on authentic Android devices in the cloud. This tool enables automation of workflows on platforms like TikTok, Instagram, Facebook, and X. The AI agent connects to a Multilogin Android cloud phone, allowing it to view screens, execute taps, type commands, and save results. It integrates with multiple AI agents capable of running shell commands and interpreting visual inputs. Each cloud phone functions as an independent Android device with unique parameters and persistent app data, connected via ADB. The tool monitors the cloud phone's readiness, activates ADB, interprets screenshots, and executes tasks while logging activities. It is designed for marketers, agencies, creators, and teams, providing setup instructions and compatibility with AI tools like ChatGPT/Codex and Claude Code. The project is available on GitHub, and Multilogin offers a free plan with paid options starting at [openai_gpt model="gpt-4o-mini" prompt="Summarize the content and extract only the fact described in the text bellow. The summary shall NOT include a title, introduction and conclusion. Text: Multilogin has unveiled an innovative open-source AI agent designed to empower social media management on authentic Android devices hosted in the cloud. This groundbreaking tool bridges the gap between AI capabilities and mobile app functionalities, allowing users to automate workflows across popular platforms such as TikTok, Instagram, Facebook, and X. How the Tool Functions The newly developed AI agent connects seamlessly to a Multilogin Android cloud phone, providing it with the ability to view screens, execute taps, type commands, and complete various tasks while saving the results. This integration works harmoniously with multiple AI agents, including Claude Code, Cursor, and OpenClaw, all of which can run shell commands and interpret visual inputs from screenshots. As many social media operations increasingly shift to mobile applications, the limitations of browser-based tools become apparent. While browser profiles serve their purpose for web-based tasks, they fall short when it comes to executing native Android applications. Multilogin's cloud phones offer a distinct advantage by providing an authentic Android environment, facilitating direct interaction with mobile apps. Each cloud phone operates as an independent Android device in the cloud, complete with unique device parameters, installed applications, and persistent app data. The AI agent connects to the cloud phone via ADB (Android Debug Bridge), a standard interface used by developers for device management. Operational Efficiency and Flexibility The process begins with the selection of an Android cloud phone, which the tool monitors until it is fully operational. Once ready, the AI agent activates ADB, allowing it to interpret screenshots, determine subsequent actions, and execute tasks such as tapping or typing. Upon completion of a task or in the event of an error, the tool halts the cloud phone and logs the activity, ensuring that resources are not wasted during the development and testing of AI-assisted mobile workflows. This project is compatible with any AI agent capable of executing shell commands and processing visual inputs, making it versatile for various applications. Gleb K., the UI team lead at Multilogin, emphasizes the importance of this development: “AI agents are becoming useful for real operational work, but many important workflows still happen inside mobile apps. We built this open-source project to give everyone a simple and controlled way to connect AI agents to Android cloud phones.” Target Audience and Accessibility The cloud phone agent is tailored for marketers, agencies, creators, and teams seeking an AI assistant to streamline routine tasks within Android applications. Users need not start from scratch; the project provides clear setup instructions and is compatible with widely-used AI tools such as ChatGPT/Codex, Claude Code, OpenClaw, and Cursor. Once connected, the AI agent can efficiently manage tasks on the cloud phone, with the Multilogin Support team readily available for assistance. As with any automation tool, users are encouraged to adhere to the guidelines set by the applications they utilize. The Multilogin cloud phone agent is accessible on GitHub: GitHub Repository. For further information about Android cloud phones from Multilogin, visit Multilogin's Website. The Need for Android Cloud Phones in Social Media Workflows As marketing teams increasingly adopt AI-driven workflows, the necessity for reliable and scalable environments becomes paramount. Real Android devices provide AI agents with the authentic conditions that mimic human usage, allowing accounts to behave naturally and accumulate history over time—an aspect that emulators and browser profiles simply cannot replicate. About Multilogin Multilogin is a comprehensive platform offering cloud phones and browser profiles tailored for marketers, agencies, creators, and AI workflow builders. It enables teams to manage distinct browser and mobile workflows from a unified dashboard. Multilogin offers a Free plan with no credit card requirement, while paid plans commence at .08 per month when billed annually, inclusive of monthly proxy traffic and mobile minutes based on the selected plan. Established in 2015, Multilogin operates from the UAE and adheres to GDPR compliance. Media Contact: Teona B. Media Specialist Multilogin Email: marketing@multilogin.com For additional visuals accompanying this announcement, please visit the following links: Visual 1 Visual 2" max_tokens="3500" temperature="0.3" top_p="1.0" best_of="1" presence_penalty="0.1" frequency_penalty="frequency_penalty"].08 per month.

AppWizard

August 21, 2026

How a Decade-Old Samsung Laser Printer Became a Minecraft Host Server

A Samsung C410W printer has been repurposed by a maker named vimpo to host a Minecraft server, leveraging its debug serial port and LAN Test Protocol. The printer, despite being from the mid-2010s, features Wi-Fi connectivity and has 23 megabytes of RAM. Vimpo crafted a payload to redirect execution to activate the printer's status lights, allowing the lightweight UCraft server to run. This server, with a binary size of about 46 kilobytes, enables basic gameplay for a single player but has limitations in processing power, leading to lag when multiple players connect. The exploit and server code are publicly available for others to replicate this project.

Tech Optimizer

August 19, 2026

Electric Joins Databricks to Bring WASM Postgres to AI Agent Sandboxes, Expanding Databricks Postgres from the Lakehouse to the Edge

Databricks has integrated the Electric team to enhance its capabilities by incorporating WASM Postgres into AI agent sandboxes. Electric has developed PGlite, which provides each agent with a lightweight Postgres instance for low-latency access to local context, facilitating real-time data processing. Their real-time sync engine maintains synchronization of agents' distributed states with a central Lakebase, allowing effective collaboration among agents. Both Electric and Lakebase utilize Postgres, with Lakebase offering it at a production scale and PGlite introducing WASM Postgres into the agent's environment. This integration allows for collaborative applications, execution of Postgres within the agent sandbox, and ensures synchronization among agents while centralizing control in Lakebase Postgres.

Tech Optimizer

August 19, 2026

Postgres pioneer credits Oracle with helping his database take over the world

Michael Stonebraker, the creator of PostgreSQL, noted that Oracle's acquisition of MySQL inadvertently boosted PostgreSQL's prominence among major tech companies like Microsoft, AWS, and Google. PostgreSQL, which originated from Stonebraker's earlier Postgres system proposed in 1986, celebrated its 30th anniversary this summer. Its popularity surged over the past five years, becoming the preferred database among developers in 2023, as per a Stack Overflow survey. Microsoft has launched a distributed PostgreSQL database service to compete with other offerings. Stonebraker highlighted the extensive adoption of PostgreSQL's wire format by major companies, contrasting it with MySQL's declining competitiveness since Oracle's acquisition in 2010. He expressed gratitude towards Oracle for prompting users to consider PostgreSQL as an alternative, emphasizing its open-source nature and community-driven control. Stonebraker has founded several database companies and co-founded DBOS three years ago, which has pivoted towards AI agents and partnerships with Databricks and CockroachDB.

Tech Optimizer

August 13, 2026

Electric joins Databricks to bring WASM Postgres to AI agent sandboxes

Databricks has acquired Electric, the team behind the open-source PGlite and real-time data synchronization technology, to enhance its Postgres capabilities. This acquisition aims to address challenges faced by AI developers in managing real-time, distributed state while minimizing network latency. Electric's technology will integrate with Databricks’ Lakebase infrastructure, allowing for production-scale Postgres capabilities in local execution environments. This development provides a unified Postgres standard for creating full-stack agentic applications across cloud and edge environments. Key features include local database access through PGlite within agent sandboxes and continuous real-time synchronization for multi-agent teams, maintaining central governance within Lakebase.

AppWizard

August 12, 2026

Google’s Android chief lays out his vision for how AI will change our smartphones

Google introduced new features in its Pixel 11 Pro smartphone, including a light that indicates when its Gemini AI is processing commands and a forthcoming Android feature named Halo that provides real-time updates on AI task progress. The company aims to reduce the need for users to micromanage their devices by allowing AI to handle routine tasks, such as scheduling appointments. Google anticipates consumer needs three years ahead in its Android development, focusing on how AI can enhance user experience. Other companies, like Samsung and Apple, are also investing in AI integration, with Apple planning to revamp Siri for better functionality. Despite advancements, there is growing consumer skepticism about AI, with 79% of Americans expressing distrust in businesses to use AI responsibly.

Tech Optimizer

August 12, 2026

Databricks acquires Electric to give every AI agent its own Postgres database

Databricks has acquired Electric, a startup known for its WASM-based Postgres project, PGlite, and the Electric sync engine. The Electric team will integrate with Neon, a serverless Postgres company acquired by Databricks for approximately billion last year. PGlite is a full Postgres database implemented in WebAssembly, capable of running in various environments and supporting dynamic extension loading, including pgvector. PGlite's weekly downloads increased from 1 million to 13 million over the past year. The Electric sync engine allows near real-time synchronization of a central Postgres database across platforms, similar to collaborative tools like Figma and Google Docs. Electric's founders have assured that all previously open-sourced components will remain accessible, while the hosted service, Electric Cloud, will be phased out. Databricks has noted that agents are now responsible for creating four times more databases than human users on Lakebase, with the average lifespan of a database compute instance being less than 10 seconds. The architecture of Lakebase separates storage from compute, facilitating cost-effective operations. PGlite originated from an experiment by Stas Kelvich, co-founder of Neon, who compiled Postgres to WASM, which Electric later developed into a production project.

Tech Optimizer

August 12, 2026

Dealroom.co | Databricks acquires Electric to bring Postgres to AI agent sandboxes

Databricks has acquired Electric, the creator of PGlite, a lightweight version of Postgres that operates within applications and user devices instead of relying on a separate server. This acquisition enhances Databricks' Postgres capabilities, allowing AI agents to maintain local Postgres instances while synchronizing with a central Lakebase Postgres system. Electric's real-time synchronization engine ensures that distributed agents remain aligned with a central record. The acquisition comes as companies shift towards agentic applications that require reliable data and rapidly changing local context. PGlite has gained significant traction, with weekly downloads increasing from 1 million to 13 million between August 2025 and August 2026. Databricks views Postgres as a foundational element for AI agents, emphasizing the importance of managing state, context, and synchronization among agents in the evolving landscape of AI systems.