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hSUM: Stateful Understanding & Memory
Local codebase evidence your coding agent can cite
hSUM gives coding agents cited answers from the repository they are working in. It builds a local, project-scoped lexical index and returns exact or BM25-ranked passages with stable hsum:// citations through MCP. No embeddings, hosted corpus, account, model, daemon, or telemetry. Install it once, authorize repositories as you work, and let agents call four read-only evidence tools. It works offline after the build and coexists with claude-mem and company-brain tools.
Hey Product Hunt 👋
I built hSUM because coding agents are good at generating changes, but their claims about a repository can be difficult to verify. Context disappears, memory gets stale, and hosted retrieval often asks you to upload your source code.
hSUM adds a small evidence layer beneath the agent. It builds a local index for each authorized repository, exposes four read-only MCP tools, and returns exact passages with stable hsum://v1 citations. Retrieval is lexical/BM25, not embedding-based. There is no model, account, daemon, telemetry, or corpus upload.
The setup goal is simple: paste one installation prompt into your agent, approve the macOS + Linux alpha warning when required, and let it handle installation, MCP registration, and activation of the current repository. New repositories can be authorized as you work.
hSUM can also run beside claude-mem or a company-brain system because they solve different problems. hSUM provides evidence from the current source tree; memory tools preserve past sessions, decisions, and shared knowledge.
This is an alpha, and I’m especially looking for feedback on retrieval quality, multi-repository use, and anywhere the onboarding still creates friction. If you try it, I’d love to know which coding agent and repository shape you used.
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About hSUM: Stateful Understanding & Memory on Product Hunt
“Local codebase evidence your coding agent can cite”
hSUM: Stateful Understanding & Memory was submitted on Product Hunt and earned 3 upvotes and 1 comments, placing #159 on the daily leaderboard. hSUM gives coding agents cited answers from the repository they are working in. It builds a local, project-scoped lexical index and returns exact or BM25-ranked passages with stable hsum:// citations through MCP. No embeddings, hosted corpus, account, model, daemon, or telemetry. Install it once, authorize repositories as you work, and let agents call four read-only evidence tools. It works offline after the build and coexists with claude-mem and company-brain tools.
hSUM: Stateful Understanding & Memory was featured in Open Source (68.7k followers), Developer Tools (517.5k followers), Artificial Intelligence (475.9k followers) and GitHub (41.4k followers) on Product Hunt. Together, these topics include over 233.8k products, making this a competitive space to launch in.
Who hunted hSUM: Stateful Understanding & Memory?
hSUM: Stateful Understanding & Memory was hunted by Burkan Alp Kale. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
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Burkan Alp Kale