“Agent memory”

Lightweight Python framework for LLM agents built as PyTorch-style layers, with agent memory kept as session state.

TypeScript agent framework with persistent cognitive memory, multi-agent orchestration and one dispatch interface across 13 LLM providers.

Open-source agent harness for stateful agents whose memory persists and improves with use, with a terminal UI, app server and TypeScript SDK.

Python agent framework for OpenAI-compatible agents with tools, memory, MCP connections, multi-agent collaboration and workflows.

Open-source Python and TypeScript SDK for model-driven agents, with tools, MCP, multi-agent patterns and streaming.

Low-code Python framework for YAML-defined agents and multi-agent Cogs, with personas, prompt templates and memory nodes.

Open-source Python framework for multi-agent systems: agent societies, memory, RAG, code interpreters, synthetic data and large-scale simulation.

CLI-first Python agent framework and coding agent with MCP, A2A and Agent Skills support, live streaming and human input.

Python framework for MCP-based agents with composable workflow patterns, MCP server creation and Temporal-backed durable execution.

Python framework for real-time voice and vision agents that process video with pluggable models and processors over WebRTC.

Python framework for LLM applications built on Qwen models, with function calling, MCP, a code interpreter and RAG options.

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

Open-source SDK that connects AI agents to app front ends with chat UI, generative UI, shared state and human approvals; creator of the AG-UI protocol.

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.

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.

Open-source Python evaluation framework with ready-made and custom graders for scoring AI agent quality and producing reward signals.

Embeddable version control system for files and SQL tables, with branch, diff, merge and rollback across both.

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.