kepano/obsidian-skills
Obsidian Skills provides a collection of agent skills enabling AI agents to interact with Obsidian vaults, facilitating content creation and editing of Markdown, Bases, and JSON Canvas files, as we...
Awesome AI Agents › AI Agent Development
memodb-io/Acontext
Acontext is a context data platform designed for building cloud-native AI agents. It provides a comprehensive solution to store contexts and artifacts, perform context engineering, observe agent tasks and user feedback, and enable agent self-learning by distilling skills from completed tasks. The platform offers a unified dashboard to view messages, artifacts, skills, and success rates, making it easier to manage and improve AI agents. Core features include multi-modal message storage (Session), a background task agent to collect task status and preferences, context editing in a single call, a filesystem for artifacts (Disk), a Notion-like space for agents to organize skills (Space), and experience agents that distill, save, and search skills. The platform is designed to help build scalable and observable agent products that can automatically improve their success rates. The architecture consists of a client layer with Python and TypeScript clients, a backend with a FastAPI-based API and core logic, and infrastructure components including PostgreSQL, S3, Redis, and RabbitMQ. A web dashboard provides a user interface for monitoring and managing the platform. Acontext supports local backend setup using Docker and requires an OpenAI API key. It is actively maintained with continuous integration workflows and has a community on Discord for support and collaboration. The platform is multilingual, with documentation available in several languages. Overall, Acontext is a powerful tool for developers and organizations looking to enhance their AI agents with advanced context management, observation, and learning capabilities, enabling more intelligent and adaptive agent behavior.
https://github.com/memodb-io/Acontext
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