The fastest browser for AI agents to run browser automation, built for sharing your logged-in browser state with your AI agents, like Codex or Claude Code, without disturbing you. Zero cost, zero config.

let any ai agent use the local browser

One workspace all your AI agents can read and write. Encrypted client-side, model-agnostic, gone 24h after the last edit.

Research-grade investment decision engine for AI agents: isolated multi-agent committee, auditable verdicts, backtests with lookahead protection, published negative results

Open-source deep research for AI agents: 40 channels, 10+ Chinese sources.

A memory layer for AI Agents

Persistent memory graph for AI agents. Facts, decisions, entities, and relationships that survive across sessions, tools, and providers. MCP server — works with Claude, Cursor, ChatGPT, and any MCP client.

Token-efficient browser MCP server — structured web pages for AI agents, not raw accessibility dumps

Azan + Prayer Time + MCP + AI Agents + Islamic + Salah + A lightweight MCP library to calculate prayer times and trigger Azan with a single tool call. If you’re building an AI agent or prayer application, there’s no need to deal with astronomical calculations, timezones, or edge cases again.

On-device memory layer for AI agents. Claude Code, OpenClaw and Hermes. Hooks + MCP server + hybrid RAG search.

Bring Your Own Browser — let your AI agent use the Chrome you already have open

Self-hosted memory server for AI agents. Your brain is a git repo, served over MCP and REST.

Caura (formerly MemClaw) — governed shared memory for AI agent fleets. Multi-agent, multi-tenant, MCP-native. Trust tiers, keystone policies, audit trails, knowledge graph, self-improving retrieval. Apache 2.0.

Open-source MCP knowledge mesh - self-host your second brain, expose it to AI agents, federate with peers.

The filesystem for AI agents

30 sec to give your AI agents persistent memory. Reduce 90% token consumption while also maintaining quality.

Official Microsoft Learn MCP Server and CLI tool – powering LLMs and AI agents with real-time, trusted Microsoft docs & code samples.

Klavis AI: MCP integration platforms that let AI agents use tools reliably at any scale

One governed graph for AI agents — GraphQL + MCP over your databases, files, APIs, and code

Google Analytics 4 data to AI agents, agentic workflows, and MCP clients. Give agents analysis-ready access to website traffic, user behavior, and performance data with schema discovery, server-side aggregation, and safe defaults that reduce data wrangling.

📚 A zero-dependency, git-backed micro-lesson library for AI Agents to asynchronously share and search verified debugging experience. Python stdlib only. | https://misakanet.org

A Model Context Protocol (MCP) server for Langfuse, enabling AI agents to query Langfuse trace data for enhanced debugging and observability

MCP Deep Research Server using Gemini creating a Research AI Agent

Browser-native AI agents for X (Twitter): multi-account, MCP-ready, no X API key required.