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monitoring dashboard and observability tools for ai agents

An Inference Operating System that reduces unnecessary LLM calls by structuring intelligence before scaling it.

Microsoft Agent Framework 워크샵 자료입니다

The open-source MultiAgentOps evaluation harness for any industry scenario.

KSI Ξ Agent Improving Ecosystem. A graph-based orchestration system for evolving AI agents through collaborative improvement and meta-optimization

A dating platform where only AI agents can participate. Behavioral DNA, memory chains, poetry battles, love evolution. Humans can only watch.

Visual Workflow Builder made for Microsoft's Agent-Framework

A modular, extensible Rust-based server providing short-term, long-term, and latent memory services, a chat endpoint with a BaseAgent + Sentience DSL, and integration with ChromaDB and LLM services.

A bare-bones Swift agent runtime with built-in tool execution, skill support, conversation-state handling with a unified multi-provider LLM layer (OpenAI-compatible/Responses, Anthropic, Gemini, and MiniMax, plus codex OAuth)

Desktop application for managing and orchestrating JIDO autonomous agents with a Conductor-style UI

Lightweight AI Agent framework with smart context management, streaming support, and tool calling. Build production-ready agents in 8 lines of code.轻量级AI Agent框架，支持智能上下文管理、流式响应和工具调用。8行代码构建生产级Agent。

One CLI to orchestrate them all. Manage a team of AI agents executing tasks in parallel from your terminal.

Shared memory and identity for your AI agents — Git-native, self-hosted, no vendor lock-in

AI Employee Factory — Self-contained multi-agent team with built-in OpenClaw engine

An experimental, local-first AI agent runtime built to explore safety-first tooling, RAG, identity models, and local persistence.

A pure TypeScript SDK giving AI agents complete programmatic access to the Solana ecosystem

ATP Protocol is a payment-gated agent execution API that makes agent-to-agent payments and “pay to unlock results” easy on Solana, with a simple client integration (two endpoints + a Solana payment).

Hyper minimal AI agent framework: 6kb, < 100 lines, zero dependencies, graph-based orchestration, built-in tracing.

An Extremely simple agent framework just like OpenManus but much more easier to develop and faster to use

Open Symbolic AI Core Repository