Model Context Protocol — servers, clients, and integrations.
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A hands-on course on AI engineering. Each session pairs the concepts with a real working project, so you learn by building.
The agent that built it never leaves. A source-aware harness for every AI-built app — source-mapped build plugins, an MCP daemon, and a runt...
AI dev teammate for GitHub. Picks up issues, asks questions, ships PRs, answers your review comments, resolves conflicts, merges when green....
Agentic CLI that provides multiple tools via plugins
Auth for AI agents and humans. First-class agent identity, MCP OAuth 2.1, delegation, audit. TypeScript, edge-native, MIT.
AI agents that improve themselves. Self-evolving prompts via A/B testing, multi-model critics, and safety gates. TypeScript. Zero config.
Give your AI agent a real browser identity. MCP server with persistent personas, anti-detection browser, and credential vault.
Trust infrastructure for AI agents — constitution enforcement and cryptographic receipts. Python SDK.
Model Context Protocol (MCP) plugin to connect with Unity Editor — designed for Cursor, Claude Code, Codex, Windsurf and other IDEs
Get better Estonian writing results from your AI agent. Offline MCP server (no third-party calls) wrapping EstNLTK + EKI Reeglid. 21 NLP too...
Agent-facing Bicameral MCP tools for ingest, preflight, binding, and review commands
We’re build a swarm of agents for all data tasks. That anyone can use for free, open-source community version.
