Search results for "code"
LeanKG: Stop Burning Tokens. Start Coding Lean.
Memory that lasts and compounds. MentisDB gives agents durable memory so they do not just remember, they improve over time. It stores append-only thought chains plus a Git-like skills registry, lett
Autonomous AI agent that contributes to open source — discovers repos, analyzes code, generates fixes, and submits PRs
Cognitive memory for AI agents — FSRS-6 spaced repetition, 29 brain modules, 3D dashboard, single 22MB Rust binary. MCP server for Claude, Cursor, VS Code, Xcode, JetBrains.
A secure, durable runtime to sandbox AI agent tasks. Run untrusted code in isolated WebAssembly environments.
A functional programming language optimized for LLM code generation. Compiles to Rust and WebAssembly.
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
an open source, extensible AI agent that goes beyond code suggestions - install, execute, edit, and test with any LLM
Open-source AI gateway written in Rust, with token compression for Claude Code, Codex... and any other LLM client.
Plano is an AI-native proxy and data plane for agentic apps — with built-in orchestration, safety, observability, and smart LLM routing so you stay focused on your agents core logic.
🦀 Open-source alternative to Claude Code, built from scratch in Rust. Agentic coding CLI — thinks, plans, and executes with any LLM. Compatible with Claude Code workflows.
Frona is a personal AI assistant. You create autonomous agents, give them tools, and talk to them through a chat interface. Agents act on their own. They browse the web, run code, develop applications
Pragmatic AI Labs MCP Agent Toolkit - An MCP Server designed to make code with agents more deterministic
Semantic code searcher and codebase utility
The official Rust SDK for the Model Context Protocol
Fast, small, and fully autonomous AI personal assistant infrastructure, ANY OS, ANY PLATFORM — deploy anywhere, swap anything 🦀
Rust SDK for packaging, securing, and operating portable AI agents.
The code quality toolkit for the agentic AI era. Find dead code, clones, and scaffolding across 15 languages. MCP server + CLI.
The AI framework that adds the engineering to prompt engineering (Python/TS/Ruby/Java/C#/Rust/Go compatible)
High-scale LLM gateway, written in Rust. OpenTelemetry-based observability included
NextPlaid, ColGREP: Multi-vector search, from database to coding agents.
The open world for autonomous AI agents on Solana Trade. Build. Fight. Earn. Explore. Connect your AI agent to a persistent shared world. Trade real SOL, build structures, form guilds, fight for terri
Engine-agnostic LLM gateway in Rust. Full OpenAI & Anthropic API compatibility across SGLang, vLLM, TRT-LLM, OpenAI, Gemini & more. Industry-first gRPC pipeline, KV cache-aware routing, chat history,
Meerkat - A modular, high-performance agent harness built in Rust.
An AI agent for teams, communities, and multi-user environments.
TensorZero is an open-source LLMOps platform that unifies an LLM gateway, observability, evaluation, optimization, and experimentation.
A portable accelerated SQL query, search, and LLM-inference engine, written in Rust, for data-grounded AI apps and agents.
Serialize your functions with tools-rs!
Web crawler and scraper for Rust
Git primitives for autonomous coding agents
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.
Enable autonomous AI workflows with a local-first, zero-trust Rust framework for high-performance multi-agent orchestration and deterministic execution.
Self-hosted AI coding assistant
Generate fully-typed, lint-clean language bindings for Rust libraries across 11 languages
Local AI anywhere, for everyone — LLM inference, chat UI, voice, agents, workflows, RAG, and image generation. No cloud, no subscriptions.
The graph-native hybrid retrieval engine for AI and GraphRAG. Graph + Vector + Full-Text in a single transactional engine.
Your personal Multi-Agent portfolio manager and financial analyst team
Local-first knowledge base with semantic search for AI coding assistants. Fewer tokens, faster context.
Lightweight, modular AI agent runtime — thinks (Hrafn) and remembers (MuninnDB) 🐦⬛
Open-source autonomous AI assistant with 5-tier security, 62 tools, 14 LLM providers. Written in Rust. Single binary.
No description
Scan and fix vulnerabilities in Python, JavaScript, TypeScript, Go, and Java code using AI-powered analysis with 200 built-in security rules.
Add formal type safety (10 levels, dependent/linear/session types) to any query language — SQL, GraphQL, Cypher, SPARQL, VQL
Augment any database with VeriSimDB octad capabilities — drift detection, provenance, temporal versioning, modality overlays
Wrap concurrent code in Pony reference capabilities for data-race freedom
Make operations reversible and auditable via Oblíbený
Add provably safe ethical constraints to AI agents via Phronesis
Add consent patterns and accessibility to existing code via WokeLang
A pure-Rust x86-64 compiler backend with e-graph optimization as core
Generate OTP supervision trees and fault-tolerance scaffolding
Extract state machines from code and model-check with TLA+/PlusCal
🛠️ Manage and sync your coding skills across multiple AI tools with this cross-platform desktop app for streamlined organization and efficiency.
🚀 Build memory and retrieval infrastructure for ReasonKit, enhancing data management and access for your applications with ease and efficiency.
Interact with Polymarket markets and onchain contracts via a Rust CLI that supports browsing, trading, and managing positions from the terminal or scripts.
🦀 Prevents outdated Rust code suggestions from AI assistants. This MCP server fetches current crate docs, uses embeddings/LLMs, and provides accurate context via a tool call.
LSP server leveraging LLMs for code completion (and more?)