Pi (Personal Intelligence) is a conversational AI assistant from Inflection AI that prioritizes emotional intelligence, personality, and continual learning. It supports voice & text interaction, aims to be supportive, friendly, and helpful in everyday conversations, explores topics, answers questions, and adapts to users’ style. Pi achieved over 1 million daily active users and is available on web, iOS, Android, and desktop. :contentReference[oaicite:0]{index=0}

Pi by Inflection AI

pi-by-inflection-ai

A companion-style AI chatbot offering empathetic, emotionally-aware conversations across voice and text.

Wildcard AI provides an open-source specification called *agents.json* that builds on OpenAPI to let agents consume APIs more reliably. It enables defining API contracts, flows (chains of calls), links between actions, and metadata so autonomous agents can discover and invoke workflows automatically. It includes Wildcard Bridge SDK, a registry of agents.json files, and motivations around statelessness, better tool-selection, and easier LLM-API integration. :contentReference[oaicite:0]{index=0}

Wildcard AI / agents.json

wildcard-ai-agents-json

Open-source spec & platform letting AI agents discover and invoke API workflows via agents.json rather than fixed prompts.

legacy-use is an open-source platform that wraps legacy or desktop software and exposes functionality via REST APIs. It simulates GUI interactions (e.g. via VNC, RDP) to allow AI or agentic systems to invoke operations on software that lacks built-in interfaces. It supports prompt-based endpoint generation, model-provider independence, built-in logging, debugging, and optional guardrails and enterprise deployments. :contentReference[oaicite:0]{index=0}

legacy-use

Open-source tool exposing legacy desktop apps via REST API so AI agents can control them via GUI automation.

Marxx AI is an AI-powered platform that autonomously analyzes millions of ads to break down what drives ROAS, scans hooks and emotions, predicts top performers, benchmarks against competitors, and explains why certain ads succeed or fail—empowering smarter creative decisions.

Marxx AI

marxx-ai

An AI agent for end-to-end ad smartness—researches, predicts winners, explains performance, and reduces ad waste.

LangChain Social Media Agent is an open-source AI agent built on LangGraph that takes a URL, generates Twitter and LinkedIn posts, and uses a human-in-the-loop approval flow. It supports content parsing, posting cadence (via cron jobs), Slack-triggered ingestion, and optional image handling. Users can audit and edit drafts before publishing, ensuring quality control and automation.

LangChain Social Media Agent

langchain-social-media-agent

Open-source agent that drafts, reviews, and schedules social posts from URL content with human-in-the-loop.

Vercel AI SDK is a free, open-source TypeScript library from the creators of Next.js, designed to help developers build AI-powered applications and agents. It offers a unified provider API—OpenAI, Anthropic, Claude, Google Gemini, etc.—structured output (via Zod), streaming responses, chat UI integrations, tool calling, agentic loops, and full TypeScript type safety across React, Svelte, Vue, Angular, or Node apps. With over 2 million weekly downloads, it simplifies LLM integration and enables rapid development of robust AI workflows.

Vercel AI SDK

vercel-ai-sdk

Free open-source TypeScript SDK for building LLM-powered apps and agents across frameworks with unified API.

GLM‑4.5 is an open‑source, Mixture‑of‑Experts (MoE) large‑language model from Z.ai, designed for intelligent agent applications. It features 355 B parameters (32 B active) with an efficient ’thinking/non‑thinking’ hybrid reasoning mode and 128 K context length. A smaller variant, GLM‑4.5‑Air, offers 106 B parameters (12 B active) for more efficient deployments. GLM‑4.5 excels at reasoning, coding, and tool‑calling tasks and ranks among the top performers on benchmarks compared with models like o3, Grok‑4, Claude Sonnet, and GPT‑4.1.

GLM‑4.5

glm-4-5

Open-source hybrid‑reasoning MoE foundation model optimized for intelligent agent tasks with 128K context and tool use.

Google Opal is an experimental no‑code tool from Google Labs that lets users build, edit, and share AI mini‑applications using plain English. It converts natural language prompts into visual workflows—chain prompts, AI model calls, and outputs—editable via conversational or drag‑and‑drop interfaces. Templates and sharing via Google account ease prototyping and collaboration. Currently available in U.S. public beta, Opal offers a frictionless entry into agentic app creation using Gemini models.

Google Opal

google-opal

An experimental no‑code platform from Google Labs to build and share AI mini‑apps via natural language workflows.

Amazon SageMaker Studio Lab is a free, browser‑based machine learning development environment powered by open‑source JupyterLab. It gives users access to T3.xlarge CPU and G4dn.xlarge GPU runtimes (with session and daily limits), along with 15 GB of persistent storage, Git integration, preinstalled ML frameworks, and the SageMaker Distribution environment for easy migration to SageMaker Studio. No AWS account or credit card is required. Ideal for students, educators, and developers looking to learn, prototype, or teach ML workflows without setup overhead.

Amazon SageMaker Studio Lab

amazon-sagemaker-studio-lab

Free browser‑based JupyterLab environment for ML experiments with CPU/GPU and persistent storage.

Qwen3‑Coder is an agentic code model from Alibaba’s Qwen3 family. Its flagship variant (480B MoE, 35B active) excels at agentic coding, tool use, and browser tasks with long context (256K–1M tokens). It’s open‑source under Apache‑2.0 and integrates with Qwen Code CLI and Qwen‑Agent workflows.

Qwen3‑Coder

qwen3-coder

Open‑source Mixture‑of‑Experts code model by Alibaba for agentic coding and tool use.

TEN Framework is an open-source modular system for building autonomous AI agents capable of reasoning, memory management, and tool usage. Designed to reflect real-world constraints, it incorporates a Thought-Emission-Norm (TEN) architecture, encouraging agents to think before acting. The framework supports open-ended planning, persistent memory storage, and tool augmentation. Developers can use TEN to experiment with agent autonomy and deploy agents that simulate complex decision-making workflows.

TEN Framework

ten-framework

An open-source framework for building autonomous AI agents that interact with the real world through tools and memory.

Trae Agent is an open-source, LLM-powered command-line assistant developed by ByteDance for software development workflows. It supports multi-LLM providers, file editing, bash execution, tool integration, trajectory logging, and a modular architecture—ideal for debugging, patching, documentation, and research.

Trae Agent

trae-agent

Open-source CLI LLM agent for automating software engineering tasks via natural-language commands.

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