Memva – A Multi-Session Manager for Claude Code

Hacker News

Fun little passion project. I was interested in seeing what it would be like to manage Claude Code sessions from a browser. Overall - pretty impressed with running Claude Code headlessly. It's hard to beat in the in-terminal experience, but this is still neat for running web research or coding up smaller, more simple features. Screenshot of the homepage UI: https://raw.githubusercontent.com/mzxrai/memva/main/screensh... Some info on the app: - Spawns Claude Code via the command line in headless mode - Has an embedded MCP server that allows Claude Code to send over permissions requests - Has custom components for displaying various tool calls & associated results - Uses sqlite for event storage - Embedded custom-developed jobs system for managing parallel Claude Code sessions - Global settings for max turns & permissions mode that can be overridden within each session (shift-tab within a session to change perms mode) - Session archival Other info: - NO telemetry, user data collection, or data out to the internet - NO email or auth required - MIT license

Visit product View on Hacker NewsJul 26, 2025

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Product HuntOn track for Day 1 leaderboard · Strong signals: claude, mcp, user · Missing: mac, agents, macos

94%94% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

Indie HackersFits the IH revenue-focused audience · Strong signals: para · Missing: supports, reddit linkedin, podcasting

73%73% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Strong signals: io · Missing: https docs, excited, just released

45%45% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

TrustMRRLess likely to generate early MRR · Strong signals: para · Missing: mobile apps, ios, personal

39%39% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Strong signals: calls · Missing: plus, platform, intuitive

35%35% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue

20%20% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto

1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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