The IvyClaw project published a production-oriented multi-agent system for software engineering tasks, built on DeepAgents and LangGraph. It orchestrates Planner, Researcher, Coder, Tester, and Reviewer agents through a full plan-retrieve-code-test-review workflow. For practitioners, it offers a reference architecture for running coding agents in production, with sandboxed execution, state persistence, async task handling, and observability built in.
A new open-source project, ai-agent-platform, provides an enterprise-grade AI agent platform built on Spring Boot 3 and LangChain4j. It integrates ReAct reasoning, multi-recall RAG, semantic caching, and multi-agent collaboration, targeting Java developers.
A new open-source project, ai-agent-platform, provides an enterprise-grade AI agent platform built on Spring Boot 3 and LangChain4j. It integrates ReAct reasoning, multi-recall RAG, semantic caching, and multi-agent collaboration, targeting Java developers.
An AI-powered front-desk system that uses a supervisor agent to coordinate booking and knowledge base agents, each with specialized tools. Built with LangGraph, FastAPI, Supabase, Docker, and React, it handles customer inquiries and bookings. Includes 60 evaluation scenarios to test the orchestrator's decision-making.
An AI-powered front-desk system that uses a supervisor agent to coordinate booking and knowledge base agents, each with specialized tools. Built with LangGraph, FastAPI, Supabase, Docker, and React, it handles customer inquiries and bookings. Includes 60 evaluation scenarios to test the orchestrator's decision-making.
LIA is a self-hosted multi-agent AI assistant built with FastAPI and LangGraph. It uses LLMs to coordinate multiple agents for task execution, solving the problem of running a private, customizable AI assistant without relying on external services.
LIA is a self-hosted multi-agent AI assistant built with FastAPI and LangGraph. It uses LLMs to coordinate multiple agents for task execution, solving the problem of running a private, customizable AI assistant without relying on external services.
A developer released Tantra, a Python agent harness framework with a FastAPI-inspired API design, supporting session persistence, memory, tools, dynamic skills, multi-agent sub-trees, and pluggable guardrails. It aims to simplify building autonomous agents or human-in-the-loop systems.
A developer released Tantra, a Python agent harness framework with a FastAPI-inspired API design, supporting session persistence, memory, tools, dynamic skills, multi-agent sub-trees, and pluggable guardrails. It aims to simplify building autonomous agents or human-in-the-loop systems.
useAgent is an open-source platform where AI agents get their own cloud computer, your tools, and context, then hand back finished deliverables like websites, decks, spreadsheets, reports, and PRs. It runs coding agents such as Claude Code, Codex, and OpenCode on your existing subscription. It targets teams wanting to delegate real workloads rather than just chat with an assistant.
useAgent is an open-source platform where AI agents get their own cloud computer, your tools, and context, then hand back finished deliverables like websites, decks, spreadsheets, reports, and PRs. It runs coding agents such as Claude Code, Codex, and OpenCode on your existing subscription. It targets teams wanting to delegate real workloads rather than just chat with an assistant.