Indexes codebases into a persistent, queryable knowledge graph for AI coding agents, enabling full-repo indexing in minutes and sub-millisecond structural queries. Bundles 158 vendored tree-sitter grammars, a Hybrid LSP resolver, built-in embeddings, and 14 MCP tools for search, trace, and architecture analysis.
Provides a deployable personal AI assistant that runs locally or in the cloud, supports multi-channel chat, extensible Skills/Plugins, and local-model runtimes. Key features include three-layer memory, kernel-level sandboxing and tool/file guards, and bundled QwenPaw-Flash local models for zero-API deployments.
Provides a set of task-focused agent “skills” — small folders of instructions that teach agents how to perform common Flutter development workflows (integration tests, widget previews, routing, localization). Maintained by the Flutter team to reduce mistakes and make repeatable dev tasks reliable.
Orchestrates autonomous coding agents to run isolated implementation tasks end-to-end: spawn runs from project boards that produce CI results, PR review feedback, complexity analysis, and walkthrough videos, and safely land accepted PRs. Experimental engineering preview for trusted environments; best for teams using harness engineering.
Audits and reduces token waste in LLM sessions by compressing verbose outputs, checkpointing before compaction, and restoring lost context. Runs fully locally with zero telemetry and provides a live token dashboard plus plugins for Claude Code, OpenClaw and Codex.
Provides an MCP server and agent skills so AI agents can run keyword research, inspect SERPs, compare domains, and manage backlinks using your DataForSEO data. Self‑hostable TypeScript project with an optional hosted UI (openseo.so) and pay‑as‑you‑go data usage.
A curated collection of Codex plugin examples demonstrating plugin manifests, companion surfaces (skills, hooks, assets), and sample integrations. Highlights richer, opinionated examples for Figma, Notion, iOS/macOS/web builds and MCP-backed bundles — useful for prototyping assistant plugins.
Aggregates 60+ real-time OSINT feeds into a self-hosted geospatial dashboard and exposes an HMAC-signed agentic AI command channel so LLM-driven agents can query and act on live telemetry; privacy is experimental.
Real-time monitoring and control dashboard for Claude Code agents — tracks sessions, agent/subagent activity, tool calls, and live analytics. Local-first integration via Claude Code hooks, with Kanban/status board, MCP tool catalog, and web/desktop clients.
Runs locally to learn your tastes and proactively discover content across Bilibili, Xiaohongshu, Douyin, YouTube, X, Zhihu, Reddit and the open web. Local-first agent storing data in a local SQLite, with a browser extension, optional desktop backend bundling embeddings (bge-m3/Ollama), and conversational feedback to refine recommendations.
Automatically converts codebases into structured, JSON-first CLI harnesses so LLMs and AI agents can reliably control desktop and server software; includes a CLI-Hub registry, demo harnesses, and agent plugins for one‑command generation and installation.