Open-source self-hosted AI agent runtime and multi-agent framework for autonomous agent swarms. Agent memory, MCP tools, schedules, delegation, and 23+ LLM providers (Claude, GPT, Gemini, OpenRouter, Ollama). A practical Claude Code and LangChain alternative.

AINL helps turn AI from "a smart conversation" into "a structured worker." It is designed for teams building AI workflows that need multiple steps, state and memory, tool use, repeatable execution, validation and control, and lower dependence on long prompt loops. AINL is a compact, graph-canonical, AI-native programming system for (READ: README)

Production-ready RAG Framework (Python/FastAPI). 1-line config swaps: 6 Vector DBs (Weaviate, Pinecone, Qdrant, ChromaDB, pgvector, MongoDB), 5 LLMs (Gemini, OpenAI, Claude, Ollama, OpenRouter). OpenAI-compatible API. 2100+ tests.

AI Security Platform: Defense (61 Rust engines + Micro-Model Swarm) + Offense (39K+ payloads)

Your SDK solves all of this. One interface. Unified logic. Local + hosted models. Fine-tuning. Agent tools. Enterprise-ready. Hybrid RAG.Star 🌟 if you like it!

CLI for managing AI agent squads. Status, memory, goals, feedback, and dashboard for your autonomous agents.

AI agent with multi-agent orchestration, autonomous cognitive systems, and a full management dashboard

Online-adaptive multi-agent framework for enterprise API orchestration. Adaptive circuit breakers, SLA-driven routing, hybrid LLM+rule intent parser. Apache 2.0.

Task planning agent for LLMs — hierarchical plans, DAG dependencies, plan adaptation, Mermaid/Markdown export. TS, Express, MIT.

Minimal, async-first Python framework for production LLM apps- 2 hard deps, no magic, no SaaS.

Lightweight Python SDK for LLMs with unified API across 9 providers. Built-in ReAct & Plan-Execute agents, streaming, native tool calling, context injection, structured outputs, and observability.

Deploy intelligence. Open-source infrastructure for AI agents in production.

AI-driven NetSuite assistant powered by MCP. Chat with your ERP data using Next.js, Gemini, Claude, OpenAI and Inception Labs

TypeScript first class memory primitive for AI agents. Embed → store → retrieve → inject, backed by Postgres + pgvector. Swappable embedders, consumer owns the connection, zero framework coupling. MIT.

Ultra-lightweight AI agent framework. Shannon Entropy routing, zero-trust sandbox, GraphRAG memory. Only 2 dependencies.

Production-ready Python framework for AI agents with built-in guardrails, audit logging, cost tracking, and hybrid RAG. Supports OpenAI, Anthropic, Gemini, Ollama. By NichevLabs.

Claude Code-like AI agent framework for your app. Planning, task tracking, clarifying questions - one dependency, stateless, serverless-ready.

Production-ready agentic AI framework. High-performance, lightweight, simple. Built-in safety, memory, and 4 reasoning patterns. Ships to production fast.

JavaScript for MultiMindSDK – bring advanced context transfer and multi-LLM orchestration, Node.js apps, and web tools

The only agent memory that gets better over time. Nightly consolidation, active forgetting, salience scoring. 9.01/10 on AMB benchmark. Local-first, Apache 2.0.