Agent frameworks

Deuz SDK is a zero-dependency TypeScript framework for building production AI agents, providing durable execution, long-term memory, hybrid RAG, MCP tool calling, human-in-the-loop approval and one streaming API across multiple model providers.

• Agent frameworks

A starter template for organizing and documenting a growing set of Hermes AI agents, from a single agent on one VPS up to specialist teams coordinated by an orchestrator.

• Agent frameworks

A self-hosted Rust agent platform with two product surfaces, an always-on server and a native desktop app, plus an embeddable SDK that lets another Rust application run the same agent engine, tools and memory.

• Agent frameworks

A bridge that lets Hermes Agent, OpenClaw and OpenCode share one WeChat account at once, running two local proxy servers and a protocol bridge so each agent can be reached and switched between from the same chat.

• Agent frameworks

An agent daemon that runs AI agents, dispatches their tools and connects them to MCP servers, treating shell access, file access, skills and session search as sandboxed, independently granted capabilities rather than one open permission set.

• Agent frameworks

A self-improving, open-source agentic harness that runs real tasks such as sending reports, managing a calendar or a CRM and booking flights, either standalone in a terminal or as the default agent inside a hosted workspace.

• Agent frameworks

A self-hosted, team-oriented AI agent platform where each member gets an isolated agent workspace that reads files, runs shell commands, calls APIs and retrieves from a shared knowledge base to complete assigned tasks.

• Agent frameworks

A library that adds type-safe, schema-guaranteed output to existing open language models without retraining them, letting a model keep its own free-form reasoning while its final answer stays within a declared JSON schema.

• Agent frameworks

A production-oriented AI workflow runtime that organizes language-model calls, scripts, APIs, database actions and human approvals into versioned, retryable and auditable workflows, instead of one long-running single agent.

• Agent frameworks

A Rust framework for building LLM applications, combining an agent harness for tool-using loops, typed task graphs for orchestration, and streaming, composable pipelines for retrieval-augmented generation.

• Agent frameworks
• RAG

A fast agent harness for long-running, multi-model, tool-using AI systems, installed as a Python package that starts a chat-style terminal session and can also run inside a bundled desktop app.

• Agent frameworks

A collection of sample projects and code artifacts for building with Microsoft Copilot Studio and the M365 Agents SDK, covering authoring, contact-center integration, single sign-on, testing, and custom chat UIs.

• Agent frameworks
• Tutorials

A multimodal AI agent framework for Go, supporting custom models, tools, memory and middleware for multi-turn conversation, chain-of-thought reasoning and structured output.

• Agent frameworks

An orchestration tool for Claude Code that routes tasks across more than 80 specialized agents, using self-learning hooks and hundreds of MCP coordination tools to improve routing over time.

• Coding agents
• Agent frameworks

A multi-agent world engine where defined roles, rules and consequences let AI agents interact until useful behavior emerges, usable for research simulations, games and fictional scenarios.

• Agent frameworks

A self-healing runtime that wraps an AI agent's function calls, diagnoses failures such as a rejected payment, tries a fix, and remembers the fix so the same error resolves instantly next time.

• Agent frameworks
• Debugging

A private, local-first control plane that routes a goal across multiple bring-your-own-key AI models, checks that each step actually finished, and pauses for approval before anything risky.

• Agent frameworks

A full-stack framework for building, running and shipping AI agents, bundling tool discovery, memory, security, multi-tenancy, human approvals and observability behind a single Python decorator.

• Agent frameworks

An open-source generalist agent harness for enterprise use, combining OpenAPI and MCP tool integration, configurable reasoning modes, and policy-based guardrails for task execution on the web and APIs.

• Agent frameworks

A runtime for agent applications with sandboxed tool execution, streaming Agent-as-a-Service APIs, and deployment locally, on Kubernetes or serverless, now folded into AgentScope 2.0.

• Agent frameworks

A knowledge-base-first agent platform, built around persistent threads, resumable runs and immutable document versions, that provides RAG, human-in-the-loop review and audited skill and tool execution.

• Agent frameworks
• RAG

An agent operating system for building and running private agentic AI applications, with agent creation, a knowledge base, a model proxy, a memory system and a plugin ecosystem, deployed locally with Docker.

• Agent frameworks

A code-driven, multi-agent framework that turns a one-line requirement into a finished PPTX slide deck through separate research, outline, style and per-page production stages.

• Agent frameworks
• Design tools

A modern conversational AI platform built on large language models, integrating LangChain, function calling, MCP servers, retrieval-augmented knowledge search, layered memory and human-in-the-loop approval behind a FastAPI backend and Vue 3 interface.

• Agent frameworks
• RAG