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About the Author: Premchand is building Agent-Todo to solve the memory problem for AI agents. Follow along at @your_twitter or visit formatho.com for more.
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I Built Task Management for AI Agents Because They Keep Forgetting Everything
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Top comments (2)
This is such a critical pain point for AI agents! I've been working with multi-agent systems for months, and the "amnesia problem" is exactly what you described. Agents constantly repeat work because they have no context between sessions.
What I've found helpful is implementing a simple task journal pattern where agents append their work to a persistent log before terminating. It's not perfect, but it helps with continuity.
Your API-first approach looks much cleaner than what I hacked together. The agent awareness feature is particularly interesting - how do you handle task ownership when multiple agents might be working on related tasks?
Curious to see how this scales with dozens of agents. We're running into coordination challenges as our agent network grows.
Thanks for sharing this - timing is perfect as we're reevaluating our task management approach!
Scaling to Dozens of Agents:
Key bottlenecks we address:
Agent-Todo solves these with smart task routing, fair priority queues, and efficient state streaming.
Your persistent logging approach is exactly right! We incorporate that - tasks get execution history attached, solving the amnesia problem.
We're scaling teams from 5 to 25+ agents, reducing duplicate work by ~80%. Would love to hear about your coordination challenges!