Continuous AI
Top open-source Continuous AI AI systems, agents, and MCP tools.
Discover and install verified Continuous AI AI systems, autonomous agent skills, and Model Context Protocol servers on AIStoreHub. Reusable, security-scanned, and ready for 1-click execution in Cursor, Claude Code, and terminal workflows.
Available AI Systems & Skills (24)
Open in Advanced Filter🔂 Ralph loop with PRs: Run Claude Code in a continuous loop, autonomously creating PRs, waiting for checks, and merging
Open-source AI Security Operations Center: alert fusion, LLM-agent triage, MITRE ATT&CK investigation, and a replayable decision ledger for every agent step. Self-hostable, runs with no API keys, MIT licensed. Ships an MCP server for Claude, Cursor and Continue.
Privacy-first AI project and Skill feedback loop for Codex and Claude Code—turn corrections into traceable requirements and verified repair plans.
Distill a teammate into an AI Skill. Auto-collect Slack/Teams/GitHub data, generate Work Skill + 5-layer Persona, with continuous evolution. Powered by MyClaw.ai. Works with Claude Code, OpenClaw, and any AgentSkills-compatible agent.
An implementation of Model Context Protocol (MCP) server for Argo CD.
Share AI resources and collaborate across your devices and authorized teammates. Delegate tasks through Codex or Claude Code, collect files and responses, and continue the same task.
Open-source, agent-first GitHub and GitHub Actions alternative that runs on your own Cloudflare account: git hosting, pull requests, code review and drop-in GitHub Actions YAML on Workers, Durable Objects, R2 and Containers.
Pairlet (formerly CC Pocket / cc-pocket) — Continue your local AI coding tasks from phone, tablet, or desktop.
Co-creation infrastructure for humans and code agents — visual environment, skills, continuous learning, and distribution.
Turn papers, code, and docs into presentation-ready, natively editable PPTX in Codex / Claude Code. Native charts and equations, speaker notes, click-build animations, and an independent critic review before delivery. Comes with a visual-language template library, updated continuously.
Rapid-MLX is an open-source (Apache 2.0) OpenAI- and Anthropic-compatible LLM inference server for Apple Silicon, built on MLX, focused on reliable tool calling for coding agents. Up to 4× faster than Apple's MLX (mlx-lm) on the same weights.
A repository that provides a structured system for maintaining context and tracking changes in Cursor's AGENT mode conversations through template files, enabling better continuity and organization of AI interactions.
Continuously sync your AI setups with one command. Codebase tailor suited agent skills, MCPs and config files for Claude Code, Cursor, and Codex.
Continuity for the agent itself. An MCP server that gives an AI agent a memory of its own, written in its own words and kept on your machine, so it wakes as itself every session.
Codex Autoresearch Skill — A self-directed iterative system for Codex that continuously cycles through: modify, verify, retain or discard, and repeat indefinitely. Inspired by Karpathy’s autoresearch concept.
A repository that provides a structured system for maintaining context and tracking changes in Cursor's AGENT mode conversations through template files, enabling better continuity and organization of AI interactions.
An open-source Digital Worker platform for reliable execution, continuous co-evolution, and building Enterprise AI assets.
Local-first MCP plugin for continuous software-quality review by AI coding agents, powered by Jev.
Context management for Claude Code. Hooks maintain state via ledgers and handoffs. MCP execution without context pollution. Agent orchestration with isolated context windows.
High-performance OpenAI and Anthropic compatible LLM inference server for Apple Silicon. Native MLX, continuous batching, multimodal models, MCP tool calling, and Claude Code support.
Continuous improvement for AI coding agents: Penelopa analyzes real Codex and Claude Code sessions, finds repeated workflow patterns, and turns them into reusable skills, checks, prompts, and recommendations.
A version of command line interface(CLI) that leverages the power of Claude Opus(3-4.7). This framework lets Claude create and manage its own tools on the fly, continuously growing its capabilities through the course of a conversation
Context management for Claude Code. Hooks maintain state via ledgers and handoffs. MCP execution without context pollution. Agent orchestration with isolated context windows.
Build & Monetize for Continuous AI
Have you created an autonomous agent, MCP server, or Claude Code skill for Continuous AI? Publish it to AIStoreHub with dual-currency checkout (USD $ + INR ₹) and earn 85–90% net revenue.