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The Autonomous AI Agent Platform - Chitragupta

Local-first toolkit for mining repeated multi-agent execution patterns into candidate skills.

Experimental multi-agent developer pipeline

A minimal, hackable agentic framework for Ollama and BitNet - local-first AI agent toolkit

LangChain integration for Memstate AI — persistent, structured, versioned memory for AI agents

AI SDK provider adapter for @obsku/framework

AlphaAvatar Framework plugin for RAG service

Multi-agent squadron framework

A lightweight personal AI assistant framework

A foundational Python library providing core components for building LLM-driven applications using an event-based agent structure.

Production-grade LLM provider abstraction with 14 providers, key rotation, and cost-aware routing

AI agent memory system powered by Modern Hopfield Networks — no LLM calls, no database, one matrix multiply

Autonomous trading research factory and flagship reference app for Meerkat + Goldfish

APort Agent Guardrail for CrewAI — before_tool_call hook for AI agent and multi-agent crews

APort Agent Guardrail — shared core for AI agent and LLM frameworks (pre-action authorization)

Programmatic SDK for building AI agents with Robota — provides Session, query(), built-in tools, permissions, hooks, and context loading

Dao（道）— 大道至简的 AI Agent 框架

Developed by Dr. Sai's team at the Institute of High Energy Physics, Chinese Academy of Sciences (IHEP, CAS), this is a development framework designed for both single-agent and multi-agent collaborative systems

ARGUS: Production-ready multi-agent AI debate framework with RAG, Bayesian reasoning, provenance tracking, 50+ tool integrations, OpenAPI REST generation, context caching/compression, and advanced LLM orchestration for scientific discovery, fact-checking, and evidence-based decision-making

Coordination layer for multi-agent AI systems. Shared memory, experiment tracking, and session replay.