#ai-agents-framework

Flexible and powerful framework for managing multiple AI agents and handling complex conversations

PraisonAI 🦞 — Hire a 24/7 AI Workforce. Stop writing boilerplate and start shipping autonomous self-improving agents that research, plan, code, and execute tasks. Deployed in 5 lines of code with built-in memory, RAG, and support for 100+ LLMs.

Production-grade framework for building multi-agent AI systems. Graph-based orchestration, LLM-agnostic (OpenAI, Google GenAI, Anthropic), 3-layer memory (Redis cache + Postgres + vector store), live agents, parallel tool execution, and native MCP. Ships a full ecosystem: backend, REST API + CLI, TypeScript SDK, and React playground

FastAPI server and CLI for Agentflow. Auto-generates a REST API from your agent graph, with JWT/custom auth, RBAC authorization, rate limiting, dual-layer checkpointing, and Docker/Kubernetes-ready builds.

A multi-agent framework written in Rust that enables you to build, deploy, and coordinate multiple intelligent agents

Give your agent a proper IDE and OS. The sensorimotor cortex for coding agents (OpenCode + Pi), part of CortexKit: symbol-aware edits, semantic search, code health, fast grep/glob, bash compression, background tasks, PTY.

Simple, performant, battle-tested framework for building reliable AI applications.