A configuration layer for the OpenCode and Codex CLI coding agents. One install adds specialized sub-agents, lifecycle hooks, and bundled MCP servers — web search, docs lookup, code search — turning a bare agent into a harness for large codebases.
Embeds Claude Code into Obsidian so a Claude-based agent can read, edit, search, and run bash inside your vault. Features include inline edits with diff previews, image analysis, slash-commands, skills/plugins, MCP integrations, and plan-mode.
Normalizes wearable data — heart rate, sleep, activity, steps — from Garmin, Whoop, Apple Health and more behind one self-hosted API, so you write one integration instead of one per provider. Natural-language AI health automations are planned.
On-device search engine for notes, transcripts, and code that blends BM25 full-text, vector semantic search, and a local LLM re-rank — all running offline via node-llama-cpp and SQLite. Ships an MCP server so AI agents can query your knowledge base.
Cross-platform GTD task manager for desktop, mobile, and web that covers the full Capture→Clarify→Organize→Reflect→Engage workflow with a local-first data model and flexible sync backends. Optional BYOK AI copilot and automation (CLI, REST API, MCP) help clarify and break down tasks.
Generates natively editable PPTX from PDFs, DOCX, URLs, or Markdown — producing real PowerPoint shapes, text boxes, and charts (not images). An open-source, model-agnostic, local-first pipeline that integrates with multiple AI editors while keeping your data on-device.
Provides a Plan→Work→Review→Release harness for Claude Code agent workflows that enforces spec-driven tasks, TDD-backed implementation, independent review, and packaged evidence for PRs/releases. Exposes plugin/CLI commands and a Go-native guardrail engine to keep agent-driven code delivery reproducible and auditable.
Detects and surgically removes Google's SynthID watermark from images using multi-resolution spectral analysis and a resolution-aware codebook; provides a V3 bypass with high PSNR and strong phase-coherence reduction. Research-focused and intended for analysis/defense, not misrepresentation.
Coordinates multiple AI coding agents and persists work state in git-backed hooks; provides convoy-based work tracking, an AI coordinator (Mayor), agent lifecycle/watchdog tooling, and a merge/refinery workflow for reliable multi-agent code work.
Packages reusable agent capabilities as lightweight 'skills' (folders with a SKILL.md) that capture procedural knowledge and workflows; uses progressive disclosure so agents load minimal metadata at discovery and fetch full instructions and resources only when needed.
Equips AI coding assistants like Claude Code and Cursor with 75+ executable tools, an MCP server, reusable skills, and a Python library to build on Databricks—Spark pipelines, jobs, dashboards, Unity Catalog resources, and ML workflows—from your editor.
Generates summaries from URLs, YouTube videos, podcasts, PDFs, and local audio or video files. Backend-agnostic by design: the same pipeline drives local coding CLIs (Claude, Codex, Gemini) or hosted API providers (OpenAI, Google, xAI).