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GLM-5.1 delivers a major leap in coding capability, with particularly significant gains in handling long-horizon tasks. Unlike previous models built around minute-level interactions, GLM-5.1 can work independently and continuously on...

Gemma 4 26B A4B IT is an instruction-tuned Mixture-of-Experts (MoE) model from Google DeepMind. Despite 25.2B total parameters, only 3.8B activate per token during inference — delivering near-31B quality at...

Gemma 4 31B Instruct is Google DeepMind's 30.7B dense multimodal model supporting text and image input with text output. Features a 256K token context window, configurable thinking/reasoning mode, native function...

Qwen 3.6 Plus builds on a hybrid architecture that combines efficient linear attention with sparse mixture-of-experts routing, enabling strong scalability and high-performance inference. Compared to the 3.5 series, it delivers...

Role-driven multi-agent framework with strong typing and tool-based collaboration.

LangChain callback handler for Viatoris — emit a signed Viatoris receipt for every LangChain tool call

The open-source memory operating system for AI agents. Persistent memory, semantic search, loop detection, agent messaging, crash recovery, and real-time observability.

Unified LLM usage management — API proxy, session diagnostics, multi-CLI orchestration. Mirror Agent open-network DLC.

A Unified CLI Tool for Bookmark, Snippet, and Knowledge Management

🤖 Official Interactive Tutorial for OpenHarness – Zero to Hero in 12 Chapters | Learn OpenHarness like Claude Code: Agent Loop, Tools, Memory, Multi-Agent | 面向零基础的 AI Agent 交互式教程

Tribunal multi-agent Discord bot framework — autonomous paired review with configurable agent roles

Playwright for AI Agents. Test what your agent DOES, not what it SAYS. YAML-first behavioral testing. Catch PII leaks, tool abuse, step explosions. 3200+ tests.

Build and manage projects with an autonomous browser-based IDE featuring integrated multi-modal AI tools for efficient development workflows.

Make any LLM as capable as ChatGPT or Claude. Open-source AI agent engine with 42 tools, 300+ models, SSE streaming. Built in Rust.

Production-oriented LangGraph agent that answers natural language questions about an e-commerce database — covers ReAct loop, tool calling, human-in-the-loop, memory persistence, and error recovery.

Let's Qitos! A torch-like agent-native framework for researchers. An unofficial project by (one) researcher at Shanghai Innovation Institute and Fudan University.

Self-hosted AI agent platform for any hardware. 75 apps, 18 agent frameworks, 1,467 templates, 167k+ models. Framework-agnostic — swap frameworks without losing memory, channels, or config. Offline-first agent memory with local embedding. Distributed compute cluster across SBCs, PCs, Macs, and phones.

UI interface for Kitaru - durable execution for AI agents, built on ZenML

Architecture patterns for multi-agent systems with orchestrators, sub-agents, and tool coordination

Agentic RAG system using FastAPI, Streamlit, LangGraph, Chroma, Serper, and arXiv search with built-in evaluation and observability.