“Agent memory”

Python framework and runtime for building agents, serving them over a REST API and MCP server, and managing them from a web control plane.

Framework for AI agents and multi-agent networks where a router picks which agent runs, with tools and MCP support.

Python framework for generative AI agents, pipelines and parallel workflows, with RAG engines, tools, memory and swappable drivers.

Open-source framework that builds, evaluates and self-improves multi-agent LLM workflows from a goal.

Python framework for LLM apps built from collaborating agents that hold conversation state, tools and vector-store memory.

PyTorch-style Python framework for multi-agent, multi-session workflows, with a durable production runtime in v2.0.0.

Go framework for multimodal AI agents with models, tools, memory, middleware, chains and structured output.

Framework for building, running and evaluating autonomous agents, with a planner-based multi-agent mode, skills and agent RL training.

Model-agnostic SDK for building agents and multi-agent systems in Python, .NET and Java; Microsoft names Agent Framework as its successor.

Python SDK for building agents on Volcengine AgentKit, with a bundled Web UI, Studio deployment and short- and long-term memory.

C# framework on .NET for building multi-agent AI bots with plugins, RAG, MCP integration and a built-in admin UI.

Python framework that models an application as a state machine, with a trace UI and persisted state.

Python framework for autonomous agents that work in a sandboxed workspace, and task agents with tools and MCP support.