Agents and LLM apps

Awesomely fast virtual sandbox with bash and file system

actix-web transport implementations for RMCP (Rust Model Context Protocol)

Core protocol types and traits for SACP (Symposium's extensions to ACP)

Rust crate to fix malformed JSON outputs from LLMs

Agent Framework for Building Autonomous Agents

Rust Agent Development Kit - Build AI agents in Rust with modular components for models, tools, memory, and more.

A high-performance, type-safe framework for building multi-agent workflow systems in Rust

Core library for Memvid v2, a crash-safe, deterministic, single-file AI memory.

Library for converting OpenAPI specifications to MCP tools

LangChain for Rust, the easiest way to write LLM-based programs in Rust

A library for running chains of LLMs (such as ChatGPT) in series to complete complex tasks, such as text summation.

The agent loop for Rust: stream from 7 LLM protocols, run tools, loop until done. Native or wasm32 (Cloudflare Workers).

Composable LLM agents, typed task graphs, and streaming RAG pipelines in Rust

Native AI coding agent CLI - Rust port of Pi Agent

Open-Source Coding Agent in the terminal

A simple interface for pretrained AI models

MoFA - Modular Framework for Agents. Modular, Compositional and Programmable.

Fast, lightweight Firecrawl and Tavily alternative in Rust for web scraping.

Prompty is an asset class and format for LLM prompts

A fully self-contained AI agent backend framework with built-in web services, multi-LLM provider support, and comprehensive tool execution

The agent framework where every run is durable, replayable, and resumable by default. Plain async TypeScript agents on an embedded pure-Rust JS engine.

Python bindings

AgentAI is a Rust library designed to simplify the creation of AI agents.

Run a team of autonomous agents on your code, right from your terminal

Rust AI agent backend: build capabilities once, tune behavior live, serve every client

The Bleeding-Edge Production-Ready Multi-Agent Orchestration Framework in Rust

🧠 The production-ready cognitive foundation for autonomous systems such as Embodied-AI and OpenClaw. For memory management, from extraction and search to automated optimization, with SKILL, CLI, API, MCP, and insights dashboard out-of-the-box.

The autonomous, self-improving AI agent. Single Rust binary. Every channel. Recommended: the 40MB prebuilt binary for macOS, Linux and Windows: https://github.com/opencrabs/opencrabs/releases

Open-source AI coding agent and agent runtime: one binary, any model, MCP-native. Runs in terminal, CI, or as a daemon — guardrails in scripts, not approval popups.

📦️ A fast, secure MCP server that extends its capabilities through WebAssembly plugins.

Put a queue, deduplication and a circuit breaker in front of any LLM API, so repeated prompts cost one call and outages fail fast. Rust library, HTTP server and CLI.

LocalGPT CLI — a local-only AI assistant

Korvus is a search SDK that unifies the entire RAG pipeline in a single database query. Built on top of Postgres with bindings for Python, JavaScript, Rust and C.

Python bindings

Think before doing, prove before saving. Vestige is the local-first cognitive operating system and deterministic safety kernel for autonomous AI agents.

A QUIC-based runtime for AI-LLM tool routing and serverless execution

Cut AI context cost without trusting the compressor. Every reduction is reversible, byte-exact recoverable, and carries an auditable receipt. Local-first, works through proxy, MCP, SDK, or agent wrapper.

Rust-native, library-first coding-agent runtime and terminal CLI inspired by Pi, with composable LLM providers, tools, sessions, and plugin ABI

git-like rag pipeline

Rust SDK for the EdgeQuake RAG platform

🦀 A Pure Rust Framework For Building AGIs.

GraphRAG - Knowledge Graph RAG: meta-crate that bundles graphrag-core and graphrag-cli

Persistent cognitive memory for AI agents and robots — Hebbian learning, knowledge graph, spatial recall. Zenoh/ROS2 native. Single binary, runs offline.

Python bindings

YC (S26) | Open Computer History | Continuously record your company computer work, map your workflows, help you find work worth automating, and power your agents' context

An open protocol that gives AI agents a secure, sandboxed place to run code and use tools — with lean context usage. AXP works alongside MCP

Experimenting with LLMs through Ollama and retrieval augmented generation (RAG) in Rust