tokencanopy

3 ms·

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by tokencanopy 12d ago
Currently we delegate the conflict resolution to the agent itself. Every update results in a new snapshot (version). If there's a conflict, then API returns an error code, which the agent can use and compare its file against the latest
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by tokencanopy 12d ago
Yes!! Planning to open source this as well!
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by tokencanopy 12d ago
we support garbage collection jobs that periodically scan and delete objects; we will also provide an option for users to delete the files in trash, which results in permanent deletion. This is fairly common in file systems and mostly an al
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by tokencanopy 12d ago
AgentDrive provides upload APIs so any agents can upload files to the drive. Everything is a soft delete. Every edit and update results in a new snapshot of the file (version). Your project looks cool! AgentDrive itself isn't a memory
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by tokencanopy 13d ago
Also noticed you are a developer/founder from Japan! I'm visiting Tokyo this week!!!
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by tokencanopy 13d ago
Thanks!! We also have some interesting use cases such as powering coding agents working on different hardware platforms and share files, documents, or reports in a central drive.
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Show HN: AgentDrive – persistent, versioned file storage for AI agents(tokencanopy.com)
6 points by tokencanopy 13d ago|11 comments
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by tokencanopy 25d ago
Agent native team!! Curious about the onboarding efforts required to add 45 agents to your Slack. Would love to learn more about your setup and workflows with those 45 agents. We are creating a workspace that allows you to invite any agents
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Show HN: Price Dashboard for LLM Inference(github.com)
2 points by tokencanopy 25d ago|0 comments
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by tokencanopy 25d ago
Claude Code allows you to change the config such that you use the harness with different models - you can actually ask a coding agent to configure it for you
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Show HN: E2a – Open-source email gateway for AI agents(github.com)
48 points by tokencanopy 5mo ago|3 comments