pasal

Pasal.id is the first open, AI-native platform for Indonesian law, providing access to real Indonesian legal data through a REST API and a web app. It offers full-text legal search, structured reading, grounded AI tools, public JSON endpoints, crowd-sourced corrections, amendment tracking, and a bilingual UI. The platform is powered by Opus 4.6, ensuring accuracy through a self-improving correction flywheel. Key features include a grounded legal access server, multimodal verification agent, self-improving feedback loop, human-in-the-loop safety, and Claude Code as a development tool. The technical depth includes SQL migrations, search optimization, append-only revision audit trail, transaction-safe mutations, row-level security, input sanitization, ISR with on-demand revalidation, atomic job claiming, and coverage of 11 regulation types from 1945 to 2026.

Clawd Cursor is an AI Desktop Agent that operates on a Smart 3-Layer Pipeline. It can work with any AI provider, run with local models for free, and acts as a self-healing doctor. The tool offers features like Install/Uninstall commands, Auto OpenClaw registration, Dashboard favorites, Credential detection, and Doctor UX. It integrates with OpenClaw to allow desktop control through natural language. Users can interact with Clawd Cursor through a Web Dashboard, browser foreground focus, and smart task handoff. The tool's 5-layer pipeline ensures efficient task execution, with different layers handling various aspects of the tasks. Clawd Cursor also provides self-healing capabilities to adapt at runtime in case of model failures or API rate limitations.

QodeAssist is an AI-powered coding assistant plugin for Qt Creator, offering intelligent code completion and suggestions for C++ and QML. It leverages large language models like Ollama to enhance coding productivity with context-aware AI assistance directly in the Qt development environment. The plugin supports multiple LLM providers, extensive model-specific templates, and easy configuration for enhanced coding experience.

JAT is a complete, self-contained environment for agentic development, offering task management, agent orchestration, code editor, git integration, and terminal access all in a single IDE. It allows users to connect various external sources like RSS, Slack, Telegram, and Gmail to create tasks and spawn agents automatically. JAT supports hands-on supervision of agents or autonomous operation. The tool provides features such as multi-agent management, task management, smart question UI, epic swarm for parallel agent spawning, autonomous triggers, task scheduling, error recovery, and a skill marketplace. JAT is designed to be a control tower for managing a swarm of agents, whether actively supervised or running autonomously.

OpenScribe is an open-source AI medical scribe tool designed to assist clinicians in recording patient encounters, transcribing audio, and generating structured draft clinical notes using large language models (LLMs). The tool offers a default web deployment path with local Whisper transcription and Anthropic Claude note generation. It is currently in early development (v0.x) and not suitable for clinical practice yet, intended for evaluation, testing, and development purposes only. The project aims to provide a local-first, privacy-conscious, and modular alternative to cloud-dependent clinical documentation tools.

MCP Mesh is an open-source control plane for MCP traffic that provides a unified layer for authentication, routing, and observability. It replaces multiple integrations with a single production endpoint, simplifying configuration management. Built for multi-tenant organizations, it offers workspace/project scoping for policies, credentials, and logs. With core capabilities like MeshContext, AccessControl, and OpenTelemetry, it ensures fine-grained RBAC, full tracing, and metrics for tools and workflows. Users can define tools with input/output validation, access control checks, audit logging, and OpenTelemetry traces. The project structure includes apps for full-stack MCP Mesh, encryption, observability, and more, with deployment options ranging from Docker to Kubernetes. The tech stack includes Bun/Node runtime, TypeScript, Hono API, React, Kysely ORM, and Better Auth for OAuth and API keys.

ClawX bridges the gap between powerful AI agents and everyday users by providing a desktop interface for OpenClaw AI agents. It offers an accessible, beautiful desktop experience for automating workflows, managing AI-powered channels, and scheduling intelligent tasks. ClawX comes pre-configured with best-practice model providers, supports multi-language settings, and allows fine-tuning of advanced configurations via Settings → Advanced → Developer Mode.

OpenFlux is an open-source AI Agent desktop client that offers multi-LLM support, long-term memory capabilities, browser automation, and tool orchestration. It features multi-agent routing, support for various LLM models, long-term memory with conversation distillation, browser automation using Playwright, a MCP tool ecosystem, voice interaction, sandbox isolation for safe code execution, desktop control, and remote access. The tool is built on Tauri v2 with a Rust backend and TypeScript frontend, providing high performance and a small footprint. It serves as the desktop entry point in the Enterprise AI Assistant ecosystem, working alongside NexusAI to create a complete AI workflow system.

Forge Orchestrator is a Rust CLI tool designed to coordinate and manage multiple AI tools seamlessly. It acts as a senior tech lead, preventing conflicts, capturing knowledge, and ensuring work aligns with specifications. With features like file locking, knowledge capture, and unified state management, Forge enhances collaboration and efficiency among AI tools. The tool offers a pluggable brain for intelligent decision-making and includes a Model Context Protocol server for real-time integration with AI tools. Forge is not a replacement for AI tools but a facilitator for making them work together effectively.

Shannon is a battle-tested infrastructure for AI agents that solves problems at scale, such as runaway costs, non-deterministic failures, and security concerns. It offers features like intelligent caching, deterministic replay of workflows, time-travel debugging, WASI sandboxing, and hot-swapping between LLM providers. Shannon allows users to ship faster with zero configuration multi-agent setup, multiple AI patterns, time-travel debugging, and hot configuration changes. It is production-ready with features like WASI sandbox, token budget control, policy engine (OPA), and multi-tenancy. Shannon helps scale without breaking by reducing costs, being provider agnostic, observable by default, and designed for horizontal scaling with Temporal workflow orchestration.

Memoh is a multi-member, structured long-memory, containerized AI agent system platform that allows users to create AI bots for communication via platforms like Telegram, Discord, and Lark. Each bot operates in its own isolated container with a memory system for file editing, command execution, and self-building. Memoh offers a secure, flexible, and scalable solution for multi-bot management, distinguishing and remembering requests from multiple users and bots.

LuaN1aoAgent is a next-generation Autonomous Penetration Testing Agent powered by Large Language Models (LLMs). It breaks through the limitations of traditional automated scanning tools by integrating the P-E-R Agent Collaboration Framework with Causal Graph Reasoning technology. LuaN1ao simulates the thinking patterns of human security experts, elevating penetration testing from automated tools to an autonomous agent. The tool offers core innovations like the P-E-R Agent Collaboration Framework, Causal Graph Reasoning, and Plan-on-Graph Dynamic Task Planning. It provides capabilities for tool integration, knowledge enhancement, web visualization, and Human-in-the-Loop mode. LuaN1aoAgent is designed for authorized security testing and educational purposes only, with strict usage restrictions and technical risk warnings.

AIO Homematic (hahomematic) is a lightweight Python 3 library for controlling and monitoring HomeMatic and HomematicIP devices, with support for third-party devices/gateways. It automatically creates entities for device parameters, offers custom entity classes for complex behavior, and includes features like caching paramsets for faster restarts. Designed to integrate with Home Assistant, it requires specific firmware versions for HomematicIP devices. The public API is defined in modules like central, client, model, exceptions, and const, with example usage provided. Useful links include changelog, data point definitions, troubleshooting, and developer resources for architecture, data flow, model extension, and Home Assistant lifecycle.

Open Computer Use is an open-source platform that enables AI agents to control computers through browser automation, terminal access, and desktop interaction. It is designed for developers to create autonomous AI workflows. The platform allows agents to browse the web, run terminal commands, control desktop applications, orchestrate multi-agents, stream execution, and is 100% open-source and self-hostable. It provides capabilities similar to Anthropic's Claude Computer Use but is fully open-source and extensible.

vLLM-MLX is a tool that brings native Apple Silicon GPU acceleration to vLLM by integrating Apple's ML framework with unified memory and Metal kernels. It offers optimized LLM inference with KV cache and quantization, vision-language models for multimodal inference, speech-to-text and text-to-speech with native voices, text embeddings for semantic search and RAG, and more. Users can benefit from features like multimodal support for text, image, video, and audio, native GPU acceleration on Apple Silicon, compatibility with OpenAI API, Anthropic Messages API, reasoning models extraction, integration with external tools via Model Context Protocol, memory-efficient caching, and high throughput for multiple concurrent users.

Osmedeus is a security-focused declarative orchestration engine that simplifies complex workflow automation into auditable YAML definitions. It provides powerful automation capabilities without compromising infrastructure integrity and safety. With features like declarative YAML workflows, multiple runners, event-driven triggers, template engine, utility functions, REST API server, distributed execution, notifications, cloud storage, AI integration, SAST integration, language detection, and preset installations, Osmedeus offers a comprehensive solution for security automation tasks.

Pasal.id is the first open, AI-native platform for Indonesian law, providing access to real Indonesian legal data through a REST API and a web app. It offers full-text legal search, structured reading, grounded AI tools, public JSON endpoints, crowd-sourced corrections, amendment tracking, and a bilingual UI. The platform is powered by Opus 4.6, ensuring accuracy through a self-improving correction flywheel. Key features include a grounded legal access server, multimodal verification agent, self-improving feedback loop, human-in-the-loop safety, and Claude Code as a development tool. The technical depth includes SQL migrations, search optimization, append-only revision audit trail, transaction-safe mutations, row-level security, input sanitization, ISR with on-demand revalidation, atomic job claiming, and coverage of 11 regulation types from 1945 to 2026.

Sweep is an AI junior developer that turns bugs and feature requests into code changes. It automatically handles developer experience improvements like adding type hints and improving test coverage.

The Teams AI Library is a software development kit (SDK) that helps developers create bots that can interact with Teams and Microsoft 365 applications. It is built on top of the Bot Framework SDK and simplifies the process of developing bots that interact with Teams' artificial intelligence capabilities. The SDK is available for JavaScript/TypeScript, .NET, and Python.

This guide is dedicated to Large Language Models (LLMs) that you can run on your home computer. It assumes your PC is a lower-end, non-gaming setup.

Supercharge WordPress Content Workflows and Engagement with Artificial Intelligence. Tap into leading cloud-based services like OpenAI, Microsoft Azure AI, Google Gemini and IBM Watson to augment your WordPress-powered websites. Publish content faster while improving SEO performance and increasing audience engagement. ClassifAI integrates Artificial Intelligence and Machine Learning technologies to lighten your workload and eliminate tedious tasks, giving you more time to create original content that matters.

Chatbot UI is an open-source AI chat app that allows users to create and deploy their own AI chatbots. It is easy to use and can be customized to fit any need. Chatbot UI is perfect for businesses, developers, and anyone who wants to create a chatbot.

BricksLLM is a cloud native AI gateway written in Go. Currently, it provides native support for OpenAI, Anthropic, Azure OpenAI and vLLM. BricksLLM aims to provide enterprise level infrastructure that can power any LLM production use cases. Here are some use cases for BricksLLM: * Set LLM usage limits for users on different pricing tiers * Track LLM usage on a per user and per organization basis * Block or redact requests containing PIIs * Improve LLM reliability with failovers, retries and caching * Distribute API keys with rate limits and cost limits for internal development/production use cases * Distribute API keys with rate limits and cost limits for students

uAgents is a Python library developed by Fetch.ai that allows for the creation of autonomous AI agents. These agents can perform various tasks on a schedule or take action on various events. uAgents are easy to create and manage, and they are connected to a fast-growing network of other uAgents. They are also secure, with cryptographically secured messages and wallets.

Griptape is a modular Python framework for building AI-powered applications that securely connect to your enterprise data and APIs. It offers developers the ability to maintain control and flexibility at every step. Griptape's core components include Structures (Agents, Pipelines, and Workflows), Tasks, Tools, Memory (Conversation Memory, Task Memory, and Meta Memory), Drivers (Prompt and Embedding Drivers, Vector Store Drivers, Image Generation Drivers, Image Query Drivers, SQL Drivers, Web Scraper Drivers, and Conversation Memory Drivers), Engines (Query Engines, Extraction Engines, Summary Engines, Image Generation Engines, and Image Query Engines), and additional components (Rulesets, Loaders, Artifacts, Chunkers, and Tokenizers). Griptape enables developers to create AI-powered applications with ease and efficiency.