Serves local Zoom meeting archives, transcripts, summaries, and source-backed search to MCP clients so agents can prepare for calls, recall commitments, and cite exact passages.

Guardian agent for AI coding: four frontier models review risky diffs and commits before they ship.

dsh web GUI skill hub: browse/search all local skills, per-skill/group toggles, install-time audit (hidden chars, pipe-to-shell), GitHub market with commit pins, local-edit detection, cross-agent import, restorable trash.

Spec-driven development for Claude Code, layered on OpenSpec. You read one spec; parallel agents ship it to a tested commit.

Games above the Claude Code prompt: snake, Tetris, 2048, Minesweeper, Flappy, Pong, a typing test and Space Invaders, plus a pet that grows as Claude tests, commits and edits

Outline-Driven Development for Claude Code - 46 agents, 25+ skills, diagram-first methodology, AST-based editing, atomic commits.

Connect goals, reconcile commitments, and keep work moving with Veloci.

Turn a one-line idea into a branch with tested, reviewed, committed code. The brainstorm-to-commit pipeline for Claude Code.

Quality gate for AI/Codex-generated pull requests: blocks TODO leftovers, leaked secrets, sloppy commits and red CI before they reach main.

Audit AI applications and agents for security risks before commit, PR, merge, or deployment. Deterministic findings with coverage and evidence receipts.

Enables MCP clients such as Claude Code to query JADE eHR attendance, leave balances, and recent applications, and to prepare, preview, and commit punch records, vacation requests, birthday half-days, and monthly work schedules.

Enables AI agents to queue, commit, push, and track durable Git transactions through a shared daemon, preserving other agents' unstaged work and allowing recovery by request ID.

Enables any MCP client to run or join governed Decision sessions through ordinary tool calls, enforcing who may propose, vote, and commit while producing a verifiable binding commitment.

Enables AI clients to inspect local RAM, commit, page file, disk usage, top processes, disk scans, duplicate files, startup apps, recent changes, and reports. It also generates approval-gated plans for cleanup, file moves, and startup disabling without changing the PC.

Enables AI coding agents to read GitHub repositories, files, commits, issues, pull requests, releases, Actions, and search results through 18 read-only MCP tools. It reuses existing credentials, routes around unreliable networks, and caches responses on disk to stay within rate limits.

Lightweight, agent-native sandboxing with diff, commit and abort

Terminal coding agent that drives a real browser to chat with DeepSeek, Qwen and other web LLMs — no API key required. Reads and edits files, runs commands, commits to git, like Claude Code / Codex CLI.

Enables MCP clients to coordinate local AI model runs by monitoring RAM, system commit, and VRAM, queueing tasks across clients, performing admission checks before inference, renewing leases, completing and releasing runs, and reporting status, history, and health while preserving original generation quality parameters. It also supports controlled start/stop and optional idle application memory reclamation.

An MCP server that lets any MCP client run or join a governed MACP Decision session, enforcing who may propose, vote and commit, and returning a binding Commitment whose hash anyone can recompute.

Enables exhaustive, unit-by-unit analysis of open-source repositories through MCP, cataloging every file and symbol, resolving dynamically built routes and URL paths, and mapping call and value flows via LSP and Joern. Every conclusion carries file:line evidence tied to a pinned commit, with unresolved items tracked in an unverified list and assigned verification grades L0–L2.

Gives AI agents a durable, locally hosted temporal memory built from a markdown vault you own, exposing hybrid semantic/lexical/entity search over events, threads, transcripts, entity relationships with validity dates, and patterns with confidence decay. Writes are approval-gated, so agents can draft, commit, and sync new memories while keeping every index rebuildable and nothing leaving your machine.

Enables AI coding agents to manage agile boards and notes, including cards, epics, sprints, labels, progress and verification records tied to commits, human-reviewed criteria and decisions, and Area documentation.

Node.js/TypeScript MCP server for Atlassian Jira. Equips AI systems (LLMs) with tools to list/get projects, search/get issues (using JQL/ID), and view dev info (commits, PRs). Connects AI capabilities directly into Jira project management and issue tracki

Commit-pace and release probabilities for open-source repositories. Docs: anteproof.com/docs