微舆:人人可用的多Agent舆情分析助手,打破信息茧房,还原舆情原貌,预测未来走向,辅助决策!从0实现,不依赖任何框架。
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Updated
Mar 13, 2026 - Python
微舆:人人可用的多Agent舆情分析助手,打破信息茧房,还原舆情原貌,预测未来走向,辅助决策!从0实现,不依赖任何框架。
GenAI Agent Framework, the Pydantic way
Outcome driven agent development framework that evolves
A framework for building, orchestrating and deploying AI agents and multi-agent workflows with support for Python and .NET.
MiroThinker is a deep research agent optimized for complex research and prediction tasks. Our latest models, MiroThinker-1.7 and MiroThinker-H1, achieve 74.0 and 88.2 on the BrowseComp, respectively.
Agent Framework For Fintech and Banks
IntentKit is an open-source, self-hosted cloud agent cluster that manages a collaborative team of AI agents for you.
Democratizing Reinforcement Learning for LLMs
A simple yet powerful agent framework that delivers with open-source models
AG2 (formerly AutoGen): The Open-Source AgentOS.Join us at: https://discord.gg/sNGSwQME3x
Code, Build and Evaluate agents - excellent Model and Skills/MCP/ACP Support
🏆 Top-1 on 5+ benchmarks | Web UI | Supports MiroThinker, Claude, Kimi, OpenAI
Agentic LLM Vulnerability Scanner / AI red teaming kit 🧪
verl-agent is an extension of veRL, designed for training LLM/VLM agents via RL. verl-agent is also the official code for paper "Group-in-Group Policy Optimization for LLM Agent Training"
[GenAI Application Development Framework] 🚀 Build GenAI application quick and easy 💬 Easy to interact with GenAI agent in code using structure data and chained-calls syntax 🧩 Use Event-Driven Flow *TriggerFlow* to manage complex GenAI working logic 🔀 Switch to any model without rewrite application code
AI video agents framework for next-gen video interactions and workflows.
Build, evaluate and train General Multi-Agent Assistance with ease
Model-agnostic plug-n-play LangChain/LangGraph agents powered entirely by MCP tools over HTTP/SSE.
Python Deep Agent framework built on top of Pydantic-AI, designed to help you quickly build production-grade autonomous AI agents with planning, filesystem operations, subagent delegation, skills, and structured outputs—in just 10 lines of code.
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