renezander030/agentic-task-system

renezander030

JavaScript2updated 4mo ago

MCP server + CLI that turns the task manager you already use — TickTick or Obsidian — into persistent agent memory for Claude Code and any MCP client. Hybrid retrieval (RRF), no vector database to maintain. Notion next.

renezander030/agentic-task-system in action

ClaudeCodexCursorMCP

agent-contextagent-memoryaiai-agentsai-memoryclaudeclaude-codeclicontext-engineeringhybrid-searchllmmcp

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README

<img src="assets/logo.png" alt="Agentic Task System" width="420" /> Your task manager is the best agent memory you're not using. <a href="https://www.npmjs.com/package/@reneza/ats-cli"><img src="https://img.shields.io/npm/v/@reneza/ats-cli?logo=npm&label=%40reneza%2Fats-cli&color=A855F7" alt="npm version" /></a> <a href="https://github.com/renezander030/agentic-task-system/actions/workflows/ci.yml"><img src="https://github.com/renezander030/agentic-task-system/actions/workflows/ci.yml/badge.svg" alt="CI" /></a> <a href="LICENSE"><img src="https://img.shields.io/badge/license-MIT-3b82f6" alt="MIT license" /></a> <img src="https://img.shields.io/badge/PRs-welcome-7C5CFF" alt="PRs welcome" />

ats is an MCP server and CLI that gives your AI agent memory and execution context from the task system you already use — TickTick, Taskmaster, Beads, or an Obsidian vault. It combines adapter-aware retrieval fused by Reciprocal Rank Fusion (RRF) with portable intent, exploration-to-execution promotion, goal hierarchy, typed task relationships, lifecycle validity, scoped access decisions, context assembly, an action ledger, and bounded task-state events. TickTick can add dense search through local Qdrant + Ollama; file and repository adapters work without either service. ATS works with Claude Code, Claude Desktop, Cursor, and any MCP client.

<img src="docs/images/operator-deck.gif" alt="Operator deck — swipe to approve agent-suggested actions across adapters" width="300" /> The <a href="examples/operator-deck/">operator deck</a>: the agent proposes the next best action across your tools — you approve, reject, or send it back, with a thumb.

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quadrantChart
    title Agent Memory Effectiveness Matrix
    x-axis Low retrieval power -