Swiftide
✨A fast, streaming Rust library for LLM application development — unifying indexing, querying, agents, and task graph orchestration.
A fast, streaming Rust library for LLM application development — unifying indexing, querying, agents, and task graph orchestration.
A secure, extensible Rust runtime framework for vertical AI agents, featuring 42+ LLM providers, 25+ delivery channels, and an L0–L9 layered security governance model.
Cloud-native persistent autonomous AI agent runtime in Rust, featuring multi-channel access, 13-layer self-learning, self-distillation, self-growing code (Cambium), and Witness verification system.
A multi-channel agentic AI assistant runtime for chat surfaces, built in Rust, with multi-step tool use, persistent tiered memory, scheduled tasks, a skills system, and MCP protocol support.
An open-source Agent Operating System providing autonomous agents with runtime orchestration, 16-layer defense-in-depth security, and omnichannel access through pre-built autonomous capability packages (Hands).
A hat-based orchestration framework that keeps AI agents in a loop until the task is done, built on Ralph Wiggum technology with backpressure execution gates.
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.
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.
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.
Open-source coding agent with semantic code intelligence via Tree-sitter, supporting multiple LLM providers with automatic failover and efficient context management.
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