MCP server that provides LLMs with tools for interacting with EVM networks

Open-source self-improving QA agent for software teams. A test harness with memory. Write tests in natural language for web and mobile. agent-qa learns from every run, adapts to UI changes, and catches regressions before you ship.

A curated list of awesome tools, IDE integrations, frameworks, and other resources for developers working with Anthropic's Claude Code.

High-performance code-intelligence engine for AI agents and IDE, supports 257 languages, multi repositories, based on graph, with access via CLI, MCP Server, and API. AI coding agents teammate - expose only needed information, cutting token usage up to 50x. 100% local. Discord: https://discord.gg/39MFHu3J5d

AI-powered whitebox penetration testing plugin for Claude Code. 9 languages, 22 skills, 7 autonomous agents. STRIDE threat modeling, OWASP 2025 coverage, polyglot monorepo support.

The python library for research and development in NLP, multimodal LLMs, Agents, ML, Knowledge Graphs, and more.

AI Agent Network CLI — Local-first multi-agent orchestration across 4 runtimes (Claude Code CLI / Claude Agent SDK / Codex SDK / Grok Build ACP) and 8+ LLM providers (Anthropic / OpenAI / xAI Grok / MiniMax / DeepSeek / GLM / Kimi / InternLM / Xiaomi MiMo

Your AI writes code that doesn't exist. Tribunal Kit stops it. The governance layer for AI coding agents — 52 specialists, 28 parallel reviewers, 183 skills, Rust core, MCP server. Works with Cursor, VSCode, Windsurf, Claude Code, and Aider.

A markdown editor — and the bridge to your LLM. Local-first, MIT, ~15 MB. Bundled MCP server lets Claude Code / Codex / Cursor drive your vault directly. 14 AI providers BYOK.

Persistent agent identity for AI agents — a hand-edited identity layer, nightly-distilled experience, and lessons injected every session, shared across your whole fleet. Works with Hermes, OpenClaw, Claude Code, and Pi.

Analytics tool for MCP (Model Context Protocol) servers and AI agents - tracks tool usage patterns and provides insights

Shared Single-file memory layer for all your agents, sub mili-second RAG over text, photo and video on Apple Silicon.. No Server. No API. One File. Pure Swift

a coding Agent from pi. ∞ providers, sub-agents, hashline edits, and a permission gate

Agent memory with no API key, no LLM, and no embedding provider. Serves MCP over stdio against a local SQLite store, or Cloudflare Workers + D1. Drop-in for @modelcontextprotocol/server-memory; every memory keeps its source, its scope, and the evidence th

MCP server that launches Claude Code/Codex sub-agents and routes tasks to Claude Messages or OpenAI-compatible API providers.

Agent-first, provider-neutral multimodal OCR CLI for images, PDFs, URLs, JSON schemas, and agentic extraction with Gemini, Kimi, Muse, and OpenRouter.

DeepSeek Harness bundle: a Chrome browser for agents (browser_goto / browser_evaluate / browser_screenshot tools) with a live two-way pane inside the DSH Web GUI. The browser engine is a fork of zenbu-labs/terminal-browser with the React Ink terminal UI r

Home Assistant MCP server agent. Enable Claude Code, Cursor, VS Code or any MCP-enabled IDE to help you vibe-code and manage Home Assistant: create and debug automations, design dashboards, tweak themes, modify configs, and deploy changes using natural language

🖥️ Agent-project workbench for DeepSeek Harness — sidebar app drawer + dockable split workspace + a live control room watching every project.

Where specs become law. A self-contained MCP suite that turns any repo into a spec-driven, agent-ready project: its own constitution (foundation), its own local code graph (Compass), its own spec-driven workflow (Lawbook), and opt-in skill packs (Tools).

Enables AI agents to run durable, isolated, and observable browser automation tasks via Playwright, with persistent profiles, recovery, evidence capture, and unattended execution for long-running web workflows.

Enables coding agents to query a local, versioned knowledge graph of a software project, retrieving overviews, context packs, evidence, and explanations to make informed changes.

Enables autonomous agents to discover, quote, and purchase paid APIs on Base by describing capabilities in natural language, with automatic provider ranking, validation, and direct non-custodial x402 payments.

Enables AI agents to perform read-only static analysis of Node.js backend projects, detecting database query anti-patterns, async bottlenecks, connection pooling mistakes, and dependency hygiene issues while returning structured evidence-backed findings.