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renezander030/agentic-task-system

by Various

Your task manager is the best agent memory you're not using. An agent-native context layer over your existing task app: hybrid retrieval (RRF), capture-time enrichment, pluggable a

MCP

renezander030/agentic-task-system

Added 11 June 2026

#agent-context#agent-memory#agents#ai#ai-agents#claude#claude-code#cli
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Overview

Agent-native context layer that integrates with task management apps. Uses hybrid retrieval (RRF) and capture-time enrichment. Currently supports TickTick and Obsidian local markdown vault as adapters, with Notion planned.

Best for

Best for
Developers building AI agent memory systems that leverage existing task managers

Use cases

  • Connecting AI agents to existing task lists for context retrieval
  • Enriching tasks with metadata during capture time
  • Implementing hybrid search across multiple task sources

How to use

Install

npm install -g @reneza/ats-cli @reneza/ats-adapter-ticktick

Clients listed in this record (not verified here)

Claude Desktop, Claude Code, Cursor

Notes

1 stars on GitHub. Last updated 2026-06-08. Licensed MIT.

Pros

  • Pluggable adapter architecture allows extending to different task apps
  • Uses RRF hybrid retrieval for improved memory recall
  • Open source with JavaScript implementation

Cons

  • Low community adoption (1 star as of writing)
  • Currently only TickTick and Obsidian adapters available
  • Requires self-hosting and setup for agent integration

Open-source & AI alternatives

Swap-in tools that solve the same job. Weigh the trade-offs before you commit.

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