Neuroscience-inspired cognitive memory system for AI agents with offline single-binary deployment, three-layer memory architecture, Hebbian learning, and native MCP integration.

Docs, Tutorials & ResourcesRAGModel Context Protocol

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Rust SDK for the Agent2Agent (A2A) Protocol with full v0.3.0 spec Client/Server, gRPC transport, and pluggable task storage

SDKMulti-Agent SystemAI Agents

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A multi-language backend framework that unifies APIs, background jobs, queues, workflows, streams, and AI agents with a single core primitive (Step), featuring built-in observability and state management. Supports TypeScript, Python, and JavaScript under Apache-2.0 license.

Multi-Agent SystemAI AgentsAgent Framework

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A local-first AI workspace built on Rust and Tauri, acting as an AI coworker for secure, supervised automation on any folder. Supports multiple LLM backends, MCP protocol extension, and multimodal file processing.

Model & Inference Framework大语言模型Multimodal

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AI-driven multi-terminal task orchestration platform enabling cross-CLI multi-agent collaboration, automatic Git branch management, and complex task loop execution

Multi-Agent SystemAI AgentsAgent Framework

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A Rust-based self-hosted multi-tenant AI Agent platform with trait-driven modular architecture, supporting 15 LLM providers, 9 communication channels, and MCP protocol extension, deployable from Raspberry Pi to cloud servers, suitable for Vietnam market and enterprises requiring data localization.

OtherRAGModel Context Protocol

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AutoAgents is a production-grade multi-agent framework built in Rust, supporting high-performance AI agent orchestration and execution across cloud, edge, and WASM environments with comprehensive tooling, memory management, and multi-agent communication.

Multi-Agent SystemAI AgentsAgent Framework

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Fast, small, and fully autonomous AI assistant infrastructure with <5MB RAM footprint, <10ms cold start, 20+ messaging channels, and 15+ LLM providers, deployable to edge devices.

Model & Inference FrameworkSDKAI Agents

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Terminal hypervisor for AI agent swarms: real-time pane capture, state-machine pattern detection, and a JSON API for coordinating fleets of coding agents across WezTerm.

Model Context ProtocolMulti-Agent SystemAI Agents

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A small, modular agent framework for building LLM-powered applications in Python with streaming and optional Rust bindings.

Model & Inference Framework大语言模型SDK

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