renezander030/agentic-task-system

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

Notes

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.

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

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

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

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.