frontpage.
newsnewestaskshowjobs

Open Source @Github

fp.

Show HN: Leaves – A text-UI disk usage treemap visualizer

https://github.com/patonw/leaves
32•patonw•3h ago•8 comments

Show HN: A modern port of Linux to a ten-year-old QWERTY phone

22•tmzt•2h ago•3 comments

Show HN: Be the ChatBOT

https://bethechatbot.com/
3•keito•21m ago•0 comments

Show HN: QBasic Gorillas (Repeeled)

https://gameswithtony.com/gorillas/
11•TonyAlicea10•4h ago•8 comments

Show HN: Galois connections for composable numeric casts in Rust

https://github.com/cmk/connections
7•partialsolve•2h ago•1 comments

Show HN: Tree, truth, druid, dryad, and tar share one Proto-Indo-European root

https://p.migdal.pl/tree-of-tree/
3•stared•1h ago•0 comments

Show HN: Algotrek – Algorithms visualized, problem shape shifting and a tutor

https://app.algotrek.io
9•nyggy•4h ago•2 comments

Show HN: Sentinel – open-source QA agent that reads your code before it clicks

https://blog.simbastack.com/announcing-sentinel/
12•asenna•3h ago•3 comments

Show HN: Wallflower – A Quiet Social Reader

https://thewallflower.app/about
6•tldrthelaw•4h ago•0 comments

Show HN: Firefox in WebAssembly

https://developer.puter.com/labs/firefox-wasm/
235•coolelectronics•22h ago•119 comments

Show HN: I built an open source alternative to Workflowy

https://dotflowy.com
2•campak•3h ago•0 comments

Show HN: Open-source AI app builder you can embed into your own SaaS

https://github.com/totalumlabs/ai-app-builder-open
5•francescjuille•3h ago•0 comments

Show HN: misa77 - a codec that decodes 2x faster than LZ4 (at better ratios)

https://github.com/welcome-to-the-sunny-side/misa77
154•nonadhocproblem•1d ago•47 comments

Show HN: PokeTokenBar – Raise a Pokémon with your AI token usage

https://github.com/chattymin/PokeTokenBar
2•chattymin•3h ago•1 comments

Show HN: Token Gobbler – the goofy game where you're the LLM

https://tokengobbler.vercel.app/
2•dschwede•3h ago•2 comments

Show HN: Tmux tab markers for Claude Code, Grok, and pi sessions

https://github.com/jhickner/tmux-agent-tabs
2•jhickner•3h ago•0 comments

Show HN: Docs.dev Your Own Hosted Docs Platform in Minutes

https://docs.dev
8•linktothenew•3h ago•4 comments

Show HN: A spectral live stream of NYC sunlight

https://nyc-stream.enody.lighting
4•carterpeterson•3h ago•0 comments

Show HN: One More Letter

https://playonemoreletter.com/
83•hmate9•19h ago•56 comments

Show HN: I Built an Accent Changer App

https://accentchanger.com/
5•wbemaker•7h ago•11 comments

Show HN: Ingestr CDC – open-source CDC replication in Go

https://bruin-data.github.io/ingestr/getting-started/cdc.html
2•karakanb•3h ago•0 comments

Show HN: Democr.ai – self-hosted agentic AI runtime with audit and RBAC

https://github.com/democr-ai/democrai
2•fabio2•3h ago•0 comments

Show HN: Trying to fix the web scraping industry's benchmark problem

https://github.com/usestring/web-data-frontier-benchmark
13•rohitshenoy•4h ago•0 comments

Show HN: Nous – give GTM agents one context graph across your tools

https://github.com/NousC/opennous
10•sethiaakash04•4h ago•9 comments

Show HN: I built a Clojure runtime on top of Chez Scheme

https://yogthos.net/posts/2026-07-02-jolt.html
3•yogthos•4h ago•0 comments

Show HN: Ramsford – AI butler for travel, cruise planning, and daily tasks

https://ramsford.ai/
2•ramsford1000•4h ago•0 comments

Show HN: I've built tldraw for HTML and Markdown pages (with encryption)

https://pastehex.dev/
2•pandrre•4h ago•0 comments

Show HN: I've built a words game based on binary search

https://hilogame.cc/
43•ludovicianul•5h ago•42 comments

Show HN: An MCP server that frames screen recordings and shots in Apple bezels

https://github.com/cwooddgr/bezelbub/tree/main/bezelbub-mcp
3•igneous_rocker•4h ago•2 comments

Show HN: Termaxa – I found my AI-agent gate had silently stopped gating Cursor

https://github.com/termaxa/termaxa
2•devdoc83•4h ago•1 comments
Open in hackernews

Show HN: Nous – give GTM agents one context graph across your tools

https://github.com/NousC/opennous
10•sethiaakash04•4h ago
We built this because deploying more agents did not make our GTM better, it made it worse. Every agent started from scratch each session and took six tool calls for the same prospect across CRM, inbox, and notetaker, often with conflicting results. Since nothing carried over between sessions, agents never became more reliable over time.

Nous is a context layer beneath your agents that turns each touchpoint into a structured observation linked to the right person and company. It derives claims, which are beliefs about a fact with their confidence and freshness. The graph runs on your own data, improves with each agent outcome, allowing one agent to read the whole account in a single call instead of using six tools.

Comments

sethiaakash04•4h ago
It's open source under the AGPL license, so you can self-host it. Happy to discuss identity resolution, the epistemic model (observations to entities to claims), and answer questions.
bennetglinder1•4h ago
how is this different from just giving my agent access to my CRM?
sethiaakash04•4h ago
CRMs are built for humans to update records. Nous is built for AI agents to read and write context. It stores observations, derives claims, tracks confidence and freshness, and gives agents one API instead of making them coordinate multiple tools.
bennetglinder1•4h ago
so I would still need a CRM but agents would use the context graph?
sethiaakash04•4h ago
Exactly, CRM is for your business records and the context graph is for aligning your agent!
1209vikas•4h ago
How do you handle conflicting facts from two sources when you are extracting the observations?
sethiaakash04•4h ago
The most recent observation is used as the claim. If there are conflicting observations, each one lowers the confidence score, but the newest still takes priority. The only exception is that CRM fields follow their own priority order. The human-entered data comes first, followed by enriched data, then inferred data. For all other cases, the newest observation is used.
binnaniaditya1•4h ago
How are you solving identity resolution? What happens when two people share a name at the same company?
sethiaakash04•4h ago
It's a waterfall sequence of hard identifiers such as email, LinkedIn URL, domain, and CRM ID and it only accepts exact matches and does not use fuzzy search. This approach works for most situations. If there is still no match, the system creates a new entity instead of making an incorrect guess.