#copilot

Local-first engineering memory for AI coding: a git-native graph of decisions, bugs, and invariants, exposed to Claude Code via MCP.

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Public source for CodeAgent Mobile clients: codeam-cli (npm), VS Code / Cursor / Windsurf extension, and JetBrains plugin. Control AI coding agents (Claude Code, Copilot, Cursor) from your phone.

VS Code extension for LLM-assisted code/text completion

A multi-agent context, rules, and hooks boilerplate generator. With a single command, it scaffolds conventions, namespaced skills, stack-appropriate settings, and interactive guardrails for seven major AI coding environments, matching each agent's native file formats and capability profiles.

MCP server that wraps the Antigravity CLI (agy): run agy prompts and peer reviews as async, restart-resilient jobs over stdio or Streamable HTTP.

Slack MCP server for Claude Code, GitHub Copilot, Cursor, JetBrains, and any MCP-compatible client. Morning recaps, decision detection, multi-channel digests.

your orchestrator for all dev agents, sessions, and environments.

Automated git-worktree workflow that captures intent from diffs via Claude Code or GitHub Copilot CLI, runs build/lint/test, opens GitLab MRs or GitHub PRs, and auto-fixes failing pipelines.

Feedback for the GitHub Copilot Language Server

Shared Pi workflow infrastructure for reusable local and remote development loops

Shared memory across your team and your AI agents — with judgment about what's worth keeping.

Search history local agents for prompts and conversations (Codex, Claude, Cursor, agy, grok, pi, opencode)

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Save your Cursor monthly quota! Unlimited AI interactions in one conversation via MCP feedback loop.

CLI + TUI that turns the GitHub Copilot CLI into a senior teammate: installs a curated catalog of skills, custom agents, a teaching persona, cross-session memory, and a native Spec-Driven Development engine. Pure Go — no LLM inside; capiko directs, Copilot executes.

Complete agent stack for Jaz. Plugins, Skills, MCP tools, and CLI for Claude Code, Cowork, Codex, Copilot, Cursor, and more.

Production-grade Harness Engineering Framework for multi-developer AI coding agents — guardrails, state persistence, direction alignment, and self-correction across 6 IDEs. Zero dependencies.

This document summarizes the information and usage instructions for packaging the original Superpowers skills library into an independent MCP Toolpack.

AgentlensPro — professional AI-agent observability: OTEL + local-log ingestion, burn forensics, cost analytics, burn-gate hooks. CLI + server + skills.

MCP server giving AI coding agents offline, token-efficient persistent memory — recall decisions, patterns, and bugs across sessions with 68.5% fewer tokens than re-reading context. No LLM, no server; works with 15+ agents.

Local-first cost & token tracking for Claude Code, Cursor, Codex & 23 more AI coding agents — proxy-accurate per-model spend, an MCP server your agent can query, and an opt-in team rollup. 100% local, no telemetry.

quiver (qvr): open-source git-native package manager for agent skills — lockfile-first, registry-agnostic, and built for reproducible AI agent workflows.

quiver (qvr): open-source git-native package manager for agent skills — lockfile-first, registry-agnostic, and built for reproducible AI agent workflows.

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AI-assisted Code Engineering Framework - A rigorous, IDE-agnostic standard for professional development teams using AI agents.

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End-to-end feature development pipeline for coding agents: PRD → high level tech spec → detailed coding specs → backlog → implementation loop → docs