AI Agent2026
Lets AI coding agents compile your documents and chat histories into a maintained Obsidian vault: it ingests sources, distills them into interconnected markdown pages, tracks deltas and provenance, and exposes query/lint/export skills across many agents.
AI Agent2026
Provides fully local long-term and symbolic short-term memory for AI agents via a 4-tier layered pipeline and Mermaid canvases, with zero external API dependencies. Key features: lossless drill-down from personas to raw traces, hybrid retrieval, and ready integrations for OpenClaw and Hermes.
AI Agent2026
An AI-agent value-investing research framework for Claude Code/Codex that encodes Buffett/Munger/Duan Yongping/Lilu methodologies into multi-agent skills — enforces decisive buy/sell outputs, multi-source financial rigor, and reproducible research workflows for investment decision-making.
AI Agent2026
Provides a CLI and skill suite that lets coding assistants scaffold, evaluate, and deploy ADK-based AI agents on Google Cloud. Integrates eval pipelines (generate/grade), deployment infra and CI/CD scaffolds, observability, and Gemini Enterprise publishing workflows.
AI Agent2026
Defines a machine-readable text format that pairs YAML design tokens with human-readable rationale so coding agents can generate, lint, diff, and export UI systems. Bundles a CLI for validating DESIGN.md files and exporting tokens to Tailwind and W3C-compatible formats.
MCP Server2026
Provides a local-first web-intelligence layer for AI agents: search, fetch, crawl, extract, cache, find-similar and agent-style research without API keys or per-query billing, running as an MCP server, REST daemon, or SDK.
AI Agent2026
Turns plain-English system or process descriptions into polished, themeable architecture, workflow, sequence, data-flow and lifecycle diagrams as a self-contained HTML file, with one-click theme toggle, copy-to-clipboard and export to PNG/JPEG/WebP/SVG (native up-to-4× rasterization).
AI Agent2026
Turns books, long videos, and podcasts into executable, testable AI agent skills using a structured RIA‑TV++ pipeline. Produces multi-file skill packs (BOOK_OVERVIEW.md, SKILL.md, INDEX.md, DIGEST.md), applies triple verification and pressure tests, and can install skills into Claude Code/Cursor for agent use.
AI Agent2026
Generates editorial-quality diagrams as self-contained HTML files with inline SVG across 27 visual types; includes brand onboarding, agent-skill integrations (Claude Code, Codex, Pi), draw.io/Mermaid import, and static-first output with optional accessible motion.
AI Agent2026
Connects an LLM to a real browser over an editable CDP websocket so the agent can drive clicks, navigation, and generate missing helper code during tasks. The harness self-heals by writing reusable helpers, supports local or cloud browsers, and can optionally record sessions for debugging.
AI Agent2026
Orchestrates multiple LLM-backed agents locally using tmux and per-role git worktrees, converting role prompts into coordinated development workflows. Key features: configurable two-/four-/six-pack workflows, a durable handoff protocol, per-role backend selection and observable terminals.
AI Agent2026
Runs goal-driven penetration tests by orchestration of an LLM agent and an MCP toolchain to perform reconnaissance, vulnerability discovery, exploitation, and structured PoC/report generation; supports multiple LLM providers and local MCP integrations; for authorized security testing only.