🔍Agentes de IA para Investigación y búsqueda

Config-driven engine that turns JSON into production-grade AI agents. Multi-agent orchestration, 12+ LLM providers, MCP/A2A protocols, RAG, persistent memory, and enterprise compliance (EU AI Act, GDPR, HIPAA). Built on Quarkus.

One person, a team of agents: CLI, Web, Desktop & Python SDK with multi-session collaboration, persistent memory, and self-evolving skills. 一个人，一支 Agent 团队：支持多终端协作、持久记忆与技能自进化的 AI Agent 框架。

A comprehensive set of LLM benchmark scores and provider prices. (deprecated, read more in README)

FOREST is a research agent for long-horizon science, where evidence gets lost, errors compound, and goals drift. It explores ideas, reads literature, forms hypotheses, runs real experiments, analyzes results, revises paths, and builds a full paper—all in an editable graph you can inspect, branch, redirect, with claims and figures linked to evidence

syftr is an agent optimizer that helps you find the best agentic workflows for your budget.

Browser-native hive-mind for CLI coding agents — Claude Code, Codex, Gemini, and OpenCode collaborate as real PTY processes via a team protocol.

AI Agent 教学仓库 | 系统化 LangChain、RAG、LangGraph、MCP 全栈实战代码 | 万字博客详解 | 开源可运行示例 | 从零构建智能体

Build, Improve Performance, and Productionize your AI Application

A reproducibility lab for trading AI: published RL and LLM trading claims re-tested under a pre-registered protocol, with a causal benchmark and a live track.

Give your agent a proper IDE and OS. The sensorimotor cortex for coding agents (OpenCode + Pi), part of CortexKit: symbol-aware edits, semantic search, code health, fast grep/glob, bash compression, background tasks, PTY.

✨✨Latest Advances on Neuro-Symbolic Learning in the era of Large Language Models

Curated collection of AI agents built with Google’s Agent Development Kit (ADK): templates, best practices, and production-ready examples for research, business, automation, education, and more.

(ACL-2025 main conference) SurveyForge: On the Outline Heuristics, Memory-Driven Generation, and Multi-dimensional Evaluation for Automated Survey Writing

A Systematic Survey of Deep Research

Turn Webpage to LLM friendly input text. Similar to Firecrawl and Jina Reader API. Makes RAG, AI web scraping, image & webpage links extraction easy.

Agent Systems Handbook by Prompthon — A practical AI agents handbook covering agent systems, agentic workflows, LangGraph, MCP/A2A, context engineering, agent memory, evaluation, observability, and multi-agent architecture. Current trend focus: Gemini Interactions API and managed agents, emerging agent runtimes, and production AI workflow patterns.

ICML 2026 | PALM@NeurIPS2026 Oral | Plug-and-play long-term memory for LLM agents

A multi-player tournament benchmark that tests LLMs in social reasoning, strategy, and deception. Players engage in public and private conversations, form alliances, and vote to eliminate each other

[Public preview] Externally scored agentic ML research benchmark: 60 tasks, real competition ground truth. Open protocol, operated evaluation.

A self-hosted AI assistant for academic research — manages your papers, searches literature, tracks deadlines, and answers you on the channels you already use.

Agentic RAG for any scenario. Customize sources, depth, and width

Fully Autonomous AI Research System with Self-Evolution, built natively on Claude Code

Running local Language Language Models (LLM) to perform Retrieval-Augmented Generation (RAG)

🔥[NeurIPS'25] DeepFund: Pilot for Your Next Fund Investment