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AI Agent2026

Implements a Manus-style, file-backed planning workflow for AI agents using a three-file Markdown pattern (task_plan.md, findings.md, progress.md) to persist plans, findings and session logs—reducing context drift and enabling session recovery. Adds IDE/CLI hooks to re-read plans and verify completion.

GitHub
AI Agent2026

Runs an autonomous agent loop that uses AI coding tools (Amp or Claude Code) to implement PRD user stories iteratively, persisting context via git history, progress.txt and prd.json; designed for small, CI-backed tasks.

GitHub

Provides a comprehensive, security-first guide and template library for using Claude Code — from core concepts and agentic workflows to production hardening. Includes threat DB (CVE mappings), 219 templates, 271-question quiz, and interactive diagrams.

GitHub
AI Agent2026

Teams-first orchestration layer for Claude Code that runs, coordinates, and parallelizes multi-agent workflows from the CLI/tmux. Features team pipelines, skill extraction, provider adapters (Codex/Gemini), and realtime HUD for developer-focused automation.

GitHub
AI Agent2026

Turns coding agents into assignable teammates that pick up issues, run on local or cloud runtimes, stream progress, and convert solutions into reusable skills; vendor-neutral, self-hostable platform with a local daemon and multi-workspace board.

GitHub
AI Agent2026

Provides a framework to build, evaluate, and run AI SRE agents that investigate and remediate production incidents on your infrastructure. Includes a CLI, synthetic + end-to-end benchmark suites, and 40+ connectors for observability, infra, and LLM providers so teams can train agents and run investigations locally or in cloud.

GitHub
AI Coding2026

Specification-first workflow engine that turns vague ideas into verified codebases via a Socratic interview, immutable seed specs, and a 3-stage evaluation gate. Integrates with Claude Code and Codex CLI; CLI-first.

GitHub
AI Agent2026

Installs and manages a complete .agents workspace for Google Antigravity, providing agent engineering primitives—rules, skills, specialist agents, workflows, persistent memory, MCP guidance, orchestration, and a built-in PreToolUse safety hook for auditable, rollback-friendly agent workflows.

GitHub
AI Client2026

Provides a desktop app and an MCP endpoint to share AI skills, plugins, and connected services across agents and teams. Includes a local-first workspace for macOS/Windows/Linux, an MCP that integrates with Codex/Claude/Cursor, and an org control plane for publishing capabilities and managing access.

GitHub
AI Client2026

Automates file management, document creation, and browser workflows on your desktop by running a local Electron agent; you bring API keys or run local models, control folder access, and save repeatable 'skills' for approved, auditable automation.

GitHub

Provides a Claude Code plugin marketplace that supplies modular skills for security research, vulnerability detection, and audit workflows. Includes scanners, analysis skills, and developer tooling to embed LLM-assisted security checks into existing pipelines.

GitHub
AI Agent2026

Provides an operator-grade system and reusable toolkit for building, running, and securing agentic workflows across multiple LLM harnesses — skills, hooks, memory, MCP integrations, and security scanning for production agent deployments.