Search results for "operations"
Data Agent Ready Warehouse : One for Analytics, Search, AI, Python Sandbox. — rebuilt from scratch. Unified architecture on your S3.
Local knowledge graph for AI agents. Hybrid search + MCP server for Obsidian vaults.
A secure persistent personal agent server in Rust. One binary, sandboxed execution, multi-provider LLMs, voice, memory, Telegram, WhatsApp, Discord, Teams, and MCP tools. Secure by design, runs on you
EdgeCrab 🦀 A Super Powerful Personal Assistant inspired by NousHermes and OpenClaw — Rust-native, blazing-fast terminal UI, ReAct tool loop, multi-provider LLM support, ACP protocol, gateway adapters
A portable accelerated SQL query, search, and LLM-inference engine, written in Rust, for data-grounded AI apps and agents.
All-in-one terminal workspace — local shells, SSH, SFTP, remote IDE, AI agent, and file manager in a single native binary. Built with Tauri 2 and pure Rust SSH (no OpenSSL). Smart reconnect, MCP, RAG,
Fast, cross-platform, real-time token usage tracker and cost monitor for Gemini CLI / Claude Code / Codex CLI / Qwen Code / Cline / Roo Code / Kilo Code / GitHub Copilot / OpenCode / Pi Agent / Piebal
Markdown and OFM SDK w/ MCP server that transforms your Obsidian vault into an intelligent knowledge system
EdegQuake 🌋 High-performance GraphRAG inspired from LightRag written in Rust; Transform documents into intelligent knowledge graphs for superior retrieval and generation
Fast, small, and fully autonomous AI personal assistant infrastructure, ANY OS, ANY PLATFORM — deploy anywhere, swap anything 🦀
The world’s fastest AI model gateway (450x less overhead than LiteLLM). Unified access to LLMs across endpoints (openAI, self-hosted, etc.) behind a single authentication layer - with API key generati
A secure, durable runtime to sandbox AI agent tasks. Run untrusted code in isolated WebAssembly environments.
The official Rust SDK for the Model Context Protocol
Pragmatic AI Labs MCP Agent Toolkit - An MCP Server designed to make code with agents more deterministic
An interactive disassembler for the CPU 6502, focused mostly on Commodore 8-bit computers. Features a TUI with modern features like x-ref, undo/redo, arrows, keyboard-driven, mcp server, VICE debugger
A jq-like Markdown query language for command-line processing
A secure, stable Rust alternative to openclaw/moltbot/clawdbot
OramaCore is the complete runtime you need for your projects, answer engines, copilots, and search. It includes a fully-fledged full-text search engine, vector database, LLM interface, and many more u
Scalable, fast, and disk-friendly vector search in Postgres, the successor of pgvecto.rs.
Self-hosted orchestrator for AI autonomous agents. Run Claude Code & Open Code in isolated linux workspaces. Manage your skills, configs and encrypted secrets with a git repo.
A unified SDK for IronCore encryption operations including vector encryption for AI data
A high-performance, in-memory vector database written in Rust, designed for semantic search and top-k nearest neighbor queries in AI-driven applications, with binary file persistence for durability.
Frontier self improving AI intern / coworker
Local AI anywhere, for everyone — LLM inference, chat UI, voice, agents, workflows, RAG, and image generation. No cloud, no subscriptions.
Serialize your functions with tools-rs!
🤖 An AI agent framework built with Rust.
AI coding agent for your terminal, implemented in pure Rust
Open-source autonomous AI assistant with 5-tier security, 62 tools, 14 LLM providers. Written in Rust. Single binary.
Lean Rust AI agent: 6MB binary, 7.9MB RAM. OpenClaw replacement. Telegram + Discord + GitHub auto-PR. Ollama/Anthropic support.
Make operations reversible and auditable via Oblíbený
Add formal type safety (10 levels, dependent/linear/session types) to any query language — SQL, GraphQL, Cypher, SPARQL, VQL
Add consent patterns and accessibility to existing code via WokeLang
Complete open-source AI collaboration suite and multi-agent platform featuring LLM orchestration, automation, and virtual assistants. Scales seamlessly from small deployments to large enterprise envir