SOS – Project state between coding agent sessions

Hacker News

I started working on SOS because noticed that during long-term projects, Codex often loses track of the current status and gets confused. I frequently had to explain what we had already done, which decisions were still valid, and what needed to be re-verified. Simple file-based governance didn't fully solve this problem. SOS stores a clearly defined "latest state" of the project within the repository. A current or new session retrieves this state via MCP. If something changes after a verification step, the previous result remains in the history but no longer influences the future development trajectory. This isn't automatic chat memory; the state must be explicitly saved and accepted. Missing information isn't filled in via guesswork. We have currently prepared an open-source alpha version focused on Codex; Claude support is planned for future releases. Linux is the primary supported OS. It has also been tested and works on macOS, while the Windows adapter is currently undergoing certification and will be available soon. SOS runs locally or on a server, if you prefer to work directly there. We do not use telemetry. I designed the system to be "agent-first," meaning you can delegate the setup to Codex simply by providing the repository link. The user just needs to provide confirmation at the appropriate steps. I’m interested to see how other users maintain agent state during long-term projects or when switching between agents. Do you find `AGENTS.md` or hand-off notes sufficient? Does governance solve the issue for you, and what challenges do you face? I am particularly interested in scenarios where an old instruction or a previously successful verification is no longer relevant to the current project.

Visit product View on Hacker NewsSep 11, 2026

Share card

Actual performance

1points

Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →

Product HuntOn track for Day 1 leaderboard · Strong signals: mac, agents, macos · Missing: cursor, model, apple

97%97% 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: started, ios · Missing: supports, reddit linkedin, podcasting

82%82% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

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

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

30%30% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

27%27% 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

17%17% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

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

0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

Similar products

Continuity – project state your AI sessions can't silently contradict29%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Continuity – project state your AI sessions can't silently contradict

Hacker News3

Share your coding agent sessions45%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Share your coding agent sessions

Hacker News1

docs-cli - coding-agent project state in Markdown34%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

docs-cli - coding-agent project state in Markdown

Hacker News6

Paritok89%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Spend up to 85% less and run 3× longer coding agent sessions

Product Hunt+259Open Source

Bestie, a coding agent that respects you59%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Bestie, a coding agent that respects you

Hacker News5

Bailout – The coding agent meant to be deleted53%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Bailout – The coding agent meant to be deleted

Hacker News2

Hop – project sessions beyond tmux75%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Hop – project sessions beyond tmux

Hacker News1

Agtrace – top and tail -f for AI coding agent sessions18%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Agtrace – top and tail -f for AI coding agent sessions

Hacker News2

Aharness – Enforce coding-agent workflows as state machines on Codex39%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Aharness – Enforce coding-agent workflows as state machines on Codex

Hacker News4

Premortem, a coding-agent-powered airplane blackbox70%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Premortem, a coding-agent-powered airplane blackbox

Hacker News3

Browse all products Analyze your launch