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quant-wiki is a comprehensive knowledge base and structured reference for quantitative finance, financial engineering, and algorithmic trading. It serves as a centralized library of documentation covering mathematical models, financial instruments, and systematic trading strategies. The project integrates AI-driven capabilities through a modular retrieval-augmented generation framework that extracts structured data from research papers and news. It features a multi-agent workflow engine designed to discover and validate predictive alpha factors, alongside tools for local large language model
node-DeepResearch is an autonomous web research engine that uses large language models to iteratively search, read, and reason over web content to answer complex questions. It provides a chat-based interface that displays real-time reasoning steps and final answers, and can be configured to focus exclusively on academic papers by limiting searches to academic repositories. The research engine operates through an agentic search-read-reason loop that repeatedly searches, reads, and reasons until a stopping condition is satisfied. It enforces a token budget to cap total consumption and failed at
Memori is an AI agent memory middleware platform designed to provide persistent, context-aware recall for language models. It functions as a non-intrusive layer that intercepts outbound model requests to automatically capture interaction history and execution traces, ensuring that agents maintain continuity across sessions without requiring modifications to existing application logic. The platform distinguishes itself through a dual-model storage architecture that maintains information as both structured relational primitives for precise fact retrieval and rolling narrative summaries for situ
Open-deep-research is an automated research platform that utilizes autonomous agents to perform recursive web queries and synthesize information into structured reports. The system functions as an AI-powered research agent, capable of navigating complex topics by iteratively generating follow-up search queries and mapping interconnected findings. The platform distinguishes itself through a recursive orchestration model that allows for deep exploration of subjects beyond initial search results. It provides a unified interface for both cloud-based and local inference engines, enabling users to
Scientific paper search API for AI agents: REST, Python, OpenAPI, and MCP with structured full-text evidence.
The main features of connerlambden/bgpt-mcp are: Research and Analysis, Search and Research, Knowledge and Memory.
Projects with overlapping indexed features include: jina-ai/node-deepresearch — node-DeepResearch is an autonomous web research engine that uses large language models to iteratively search, read,… llmquant/quant-wiki — quant-wiki is a comprehensive knowledge base and structured reference for quantitative finance, financial engineering,… memorilabs/memori — Memori is an AI agent memory middleware platform designed to provide persistent, context-aware recall for language… browser-act/skills — This project provides an agentic web interaction engine designed to facilitate autonomous browser automation and… anthropics/financial-services — This project is an LLM financial agent framework and multi-agent orchestration system designed to execute complex… btahir/open-deep-research — Open-deep-research is an automated research platform that utilizes autonomous agents to perform recursive web queries…