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Config-driven framework for WhatsApp AI agents — YAML + tools, zero code on the core

The LLM abstraction layer for modern AI agent applications.

Lightweight, file-based context management for AI agents. Your agent writes better abstracts than your RAG pipeline.

LangChain LLM agents built on top of tokens-lab.

The credit score for AI agents — on-chain reputation evaluated by Claude

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

PNNL Auto Multi-Agent AI: Dynamic multi-agent system for building applications

AI model: mradermacher/agent-Qwen3.5-9B-Claude-4.6-Opus-abliterated-heretic-i1-GGUF

AI model: mradermacher/agent-Qwen3.5-9B-Claude-4.6-Opus-abliterated-heretic-GGUF

AI model: mradermacher/Simia-Agent-Qwen3-8B-SFT-v1-GGUF

AI model: mradermacher/SWE-agent-LM-7B-GGUF

AI model: agentlans/granite-3.3-2b-instruct-critical-thinking

AI model: Verdugie/Opus-MCP-Research-v0.5

Mirror Frame Protocol — symmetric frame envelope for LLM agent communication

CLI hook for Claude Code and Cowork — automatic compliance monitoring for AI coding agents

Official Python bindings for the AutoAgents multi-agent framework

A local bridge for bidirectional collaboration between Claude Code and Codex. 连接 Claude Code 与 Codex 的本地实时协作桥接工具。

Pre-deploy CI/CD QA dashboard for evaluating LLM and AI-agent outputs

Use Composio to get an array of tools with your Langchain agent.

Use Composio to get an array of tools with your CrewAI agent.