This project is a plugin framework and agentic workflow library designed to connect large language models to professional toolstacks. It provides a system for integrating language models with external data warehouses, CRMs, and other enterprise software to retrieve and manipulate real-time business data.
Principalele funcționalități ale anthropics/knowledge-work-plugins sunt: Agent Skill Libraries, Enterprise AI Integration Tools, External Knowledge Integrators, Agent Memory Maintenance, Domain Expertise Packages, Data Connectors, Enterprise AI Search, Tool Integrations.
Alternativele open-source pentru anthropics/knowledge-work-plugins includ: rockchinq/qchatgpt — QChatGPT is an LLM bot orchestration platform and multi-platform chatbot gateway. It serves as a bridge that routes… datahub-project/datahub — DataHub is a metadata management platform designed to unify technical, operational, and business context across… simonmichael/hledger — hledger is a plain text accounting tool and double-entry ledger manager that stores financial transactions in… anthropics/financial-services — This project is an LLM financial agent framework and multi-agent orchestration system designed to execute complex… langchain4j/langchain4j — LangChain4j is a framework and library for building applications powered by large language models on the JVM. It… supermemoryai/supermemory — Supermemory is an artificial intelligence memory management platform designed to provide autonomous agents with…
QChatGPT is an LLM bot orchestration platform and multi-platform chatbot gateway. It serves as a bridge that routes messages between various instant messaging services and AI models using a unified codebase, functioning as an agentic workflow manager to handle complex multi-turn dialogues. The platform distinguishes itself through an extensible plugin framework that allows for the addition of custom logic and event-driven features via standardized protocols. It also includes a web-based bot controller, providing a browser interface to manage bot behavior and monitor real-time performance with
DataHub is a metadata management platform designed to unify technical, operational, and business context across diverse data ecosystems. By utilizing a graph-based metadata model and an event-driven ingestion architecture, it creates a centralized source of truth that maps complex data relationships, lineage, and ownership. This foundational framework enables organizations to maintain a synchronized view of their data landscape, supporting both human-led discovery and automated data operations. The platform distinguishes itself through its focus on grounding artificial intelligence and autono
hledger is a plain text accounting tool and double-entry ledger manager that stores financial transactions in human-readable text files. It functions as a financial reporting engine for generating balance sheets and income statements, and as a multi-currency investment tracker for managing commodity lots and capital gains. The project distinguishes itself by providing multi-interface data access, allowing users to interact with their financial data via a command line interface, a terminal user interface, and a web server. It features a market-price valuation system to calculate the current va
This project is an LLM financial agent framework and multi-agent orchestration system designed to execute complex investment banking and wealth management workflows. It provides a financial data integration layer using a standardized context protocol to connect autonomous agents to real-time market data and third-party feeds. The system utilizes a multi-agent architecture that coordinates specialized worker agents through a steering event bus to handle task delegation and secure handoffs. It includes an enterprise AI deployment manifest for provisioning agent personas, prompts, and skill sets