Memori is an agent-native memory infrastructure that acts as an LLM-agnostic layer to transform AI agent execution and conversations into structured, persistent state for production systems. It integrates seamlessly into existing architectures, allowing agents to automatically capture and recall information from past interactions without requiring changes to core code or prompts.
Key features and points:
* Provides advanced augmentation of memories including attributes, facts, preferences, relationships, and skills at the entity, process, and session levels.
* Achieves high accuracy and token efficiency in long-conversation memory as demonstrated by LoCoMo benchmark results.
* Offers dedicated SDKs for both Python and TypeScript.
* Supports Model Context Protocol (MCP) for easy connection to developer tools like Claude Code and Cursor.
* Compatible with a wide range of LLMs including OpenAI, Anthropic, Gemini, DeepSeek, and Grok, as well as frameworks like LangChain and Pydantic AI.
Key features and points:
* Provides advanced augmentation of memories including attributes, facts, preferences, relationships, and skills at the entity, process, and session levels.
* Achieves high accuracy and token efficiency in long-conversation memory as demonstrated by LoCoMo benchmark results.
* Offers dedicated SDKs for both Python and TypeScript.
* Supports Model Context Protocol (MCP) for easy connection to developer tools like Claude Code and Cursor.
* Compatible with a wide range of LLMs including OpenAI, Anthropic, Gemini, DeepSeek, and Grok, as well as frameworks like LangChain and Pydantic AI.
This repository provides a custom build of Claude Code 2.1.88, rebuilt from source maps with real source preservation for @ant/* packages. The build process requires Node.js >= 20 and Bun >= 1.1, with an initial npm install for overlay dependencies. Users can build a production (minified) or development (unminified) version using the provided script.
The project includes feature flags for functionalities like building Claude apps, bash command safety, and computer use via MCP, toggled within the build script. It also utilizes native addons for screen capture, input handling, image processing, and audio capture. A clean rebuild option is available by removing the cached workspace.
The project includes feature flags for functionalities like building Claude apps, bash command safety, and computer use via MCP, toggled within the build script. It also utilizes native addons for screen capture, input handling, image processing, and audio capture. A clean rebuild option is available by removing the cached workspace.
Vercel has open‑sourced json‑render, a framework it calls "Generative UI" that lets AI models produce structured user interfaces from natural language prompts. The library uses Zod schemas to define a catalog of allowed components and actions, and an LLM generates a JSON specification that the renderer maps to real implementations. json‑render supports React, Vue, Svelte, Solid, React Native and more, and ships with 36 pre‑built shadcn/ui components. The project has already garnered 13,000 stars and 200 releases, and has sparked discussion on the future of constraint‑based UI generation and the role of AI in the rendering layer.
OpenCode is an open-source AI coding agent designed for development work. It offers two built-in agents: 'build' for full access and 'plan' for read-only analysis and code exploration. Installation is possible via curl, package managers (npm, brew, etc.), or as a desktop application for macOS, Windows, and Linux. It distinguishes itself from tools like Claude Code by being 100% open source, provider-agnostic, offering LSP support, and having a focus on a Terminal UI. OpenCode is built with a client/server architecture, allowing for remote access via mobile apps.
FastCode is a token-efficient framework for comprehensive code understanding and analysis, delivering superior speed, exceptional accuracy, and cost-effectiveness for large-scale codebases and software architectures. It features a three-phase framework for semantic-structural code representation, lightning-fast codebase navigation, and cost-efficient context management.
AI agent toolkit: coding agent CLI, unified LLM API, TUI & web UI libraries
A Model Context Protocol (MCP) service that provides access to Ansible Automation Platform (AAP) APIs through OpenAPI specifications.
Predictable. Guardrailed. Fast. Let end users generate dashboards, widgets, apps, and data visualizations from prompts — safely constrained to components you define.
A polyglot document intelligence framework with a Rust core that extracts text, metadata, and structured information from PDFs, Office documents, images, and 50+ formats. Available for Rust, Python, Ruby, Java, Go, PHP, Elixir, C#, TypeScript (Node/Bun/Wasm/Deno) or use via CLI, REST API, or MCP server.
Point at any URL or file. Get the gist. Fast CLI for summarizing anything you can point at: Web pages, YouTube links, Podcasts, Any audio/video, Remote files, Local files.
