Alternatives
Products that do what Cadet, a jRuby wrapper for Neo4j (including batch insert mode support) does
http://github.com/karabijavad/cadet also, checkout https://github.com/karabijavad/congress-graph for an example of its usage. congress-graph utilizes cadet's ability to do neo4j batch insert mode to insert tons of data re: legislators, committees, etc into a graph database in a matter of minutes. cadet also has its own DSL which allows for easy creation of nodes via the following statement: Person_by_name("Javad").lives_in_to City_by_name("Chicago") feel free to ask me any questions. thanks!
- 1CA
also, checkout https://github.com/karabijavad/congress-graph for an example of its usage. congress-graph utilizes cadet's ability to do neo4j batch insert mode to insert tons of data re: legislators, committees, etc into a graph database in a matter of minutes. cadet also has its own DSL which allows for easy creation of nodes via the following statement: Person_by_name("Javad").lives_in_to City_by_name("Chicago") feel free to ask me any questions. thanks!
2014 · github.com
- 2SN
2014 · structr.org
- 3
- 4AW
Congressional trading data is relatively commoditized, but I couldn't find any open-source version with the features I wanted. The data is lagged (median 28 days from trade to disclosure, and 19% miss this deadline), but there's still interesting patterns to explore. Repo: https://github.com/kadoa-org/congress-trading-monitor Let me know if you have any suggestions for improvements!
May 2026 · congress.kadoa.com
- 5SG
2020 · github.com
- 6
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- 9CI
Congress MCP is an MCP server that gives any MCP client (e.g. Claude Desktop) or MCP-compatible AI agent access to the Congress.gov API. It features full coverage, consolidating 91 operations into just 6 comprehensive legislative toolsets. Search bills, amendments, vote counts, committee actions, members, and more... in natural language. You can self-host it, or get started for free with our hosted server by downloading the NPM bridge. CongressMCP is a foundational, open source offering to bring government data into the AI age. We're building AI-native infrastructure for government affairs…
2025 · github.com
- 10ER
Hi HN, we're Jack and Daniel from Zep. We've built a visual exploration tool and AI assistant for analyzing Russian election interference in the run-up to next week's US elections. The Explorer uses Graphiti, Zep's open-source temporal Knowledge Graph library. Graphiti autonomously creates dynamic, temporally-aware knowledge graphs representing complex, evolving relationships between entities. To offer users a detailed view of Russian state operations and related topics, we populated the graph with over 50+ sources. These include US DOJ indictments, research by US and foreign governments,…
2024 · blog.getzep.com
- 11AN
2015 · github.com
- 12AF
Hello, Motivated by this discussion https://goo.gl/te4BFv, I have created a simple (free and open-source) command line note organizer. The tool, called npmnotes, take a folder with notes (written in markdown/texdown) and creates a webpage that lets you search and browse through the notes. You can then publish this webpage or use it locally. The result (built with npmnotes) looks something like this https://npmnotes.org. Currently, this is just a (working) prototype and I plan to add more features soon (based on the feedback I get). What do you think of it?
2018
- 13OS
And you can try out the models live here: https://labs.refuel.ai/playground
2024 · huggingface.co
- 14HK
Built this as a toy project to understand knowledge graphs by tackling a real problem: traditional RAG fails badly on legal documents because it misses interconnections between sections. The system actually combines both approaches on every query - gets semantic matches via TF-IDF, retrieves structural relationships from Neo4j, then feeds both contexts to OpenAI for comprehensive answers. Used the Indian Income Tax Act as test data since legal documents have natural graph structures. Queries like "What sections reference Section 80C?" get both the reference network AND content explanations.…
2025 · github.com
- 15OA
We were both genuinely impressed by Claude Code after it helped each of us fix nasty CI problems overnight. Doing those fixes manually would have taken days. After that experience, we each found ourselves struggling through Ctrl+Tab through multiple Claude Code windows in our terminals. While we enjoyed having agents working for us in parallel, context switching and cycling through each terminal tab was a real pain. So we thought: Can we design a TUI dashboard that manages a large swarm of agents in one place? Even better, can agents manage agents hierarchically, like how companies work?…
May 2026 · omar.tech
- 16AO
2019 · tree.nathanfriend.io
- 17AS
I built this as a side project because I found existing family tree tools either too bloated or too manual—I spent more time dragging boxes and aligning lines than actually mapping my family history. My goal was to make it instant: you just add the names, and the auto-layout engine handles the hierarchy and spacing automatically. It runs entirely in the browser and exports high-res PNG/JPGs. Would love feedback on the layout logic (especially for complex families) and the overall UI flow. Happy to answer any questions!
Mar 2026 · familytreeeasy.com
- 18AB
Best to just try it :) The tl:dr is it helps you to r The summaries with references to parts of the page are useful now - and the "text zoom" tool a glimpse of where we can go Works with local Ollama and the usual suspects: Mistral/OpenAI/Gemini Obviously could be better - and hopefully will be :)
2024 · socontextual.com
- 19
Beads tables (Steve Yegge's) for issue tracking. Can view git trees, terminals, issue tables, notes, and files all on one screen. Can connect multiple machines via private network (like tailscale) I had this issue where i really did not like the when i had many terminals open at the same time - when you try to code with 6+ agents at the same time, across, say, 3 projects, you get huge context fragmentation. I am a visual person, and its way easier for me to remember where things are if I placed them there - I build this 2D canvas for myself initially and then decided to open-source - the…
29d ago · github.com
- 20IO
I hacked this together last week; it’s still very experimental. The goal is simple: help founders prioritize outreach by surfacing investors who’ve recently raised funds (i.e., have capital to deploy). Right now we diff recent EDGAR/Form D filings and public announcements, normalize to a Postgres schema (fund → check size, stage, sector, geo, contacts), and do light entity resolution for aliases/shells. Expect gaps and false positives while we iterate. Grants: today we’re only pulling federal sources (SBIR/STTR, Grants.gov). The roadmap is to add state, county, and municipal…
2025 · freestartupfunding.com
- 21SP
Hello HN. This is my first webapp. It works like a pastebin, in which you can visually keep track of the changes you and others make to it. I was a little reluctant about posting it here because I'm not sure it meets the HN quality standards, but, as a beginner, I would really appreciate to have some feedback and/or tips. The url is: http://srctree.net/ An example of usage: http://srctree.net/1 Thanks!
2012
- 22WB
2021 · webkid.io
- 23WA
Today you can easily adopt AI coding tools because you have git for branching and rolling back if AI writes bad code. We haven't seen this same capability for data and decided to build it ourselves. Nile is a new kind of data lake, purpose built for using with AI. It can act as your data engineer or data analyst creating new tables and rolling back bad changes in seconds. We support real versions for data, schema, and ETL. We'd love your feedback on any part of what we are building - https://getnile.ai/ What do you think?
Jan 2026
- 24GB
Hey HN, We’re excited to share PySpur, an open-source tool that provides a graph-based interface for building, debugging, and evaluating LLM workflows. Why we built this: Before this, we built several LLM-powered applications that collectively served thousands of users. The biggest challenge we faced was ensuring reliability: making sure the workflows were robust enough to handle edge cases and deliver consistent results. In practice, achieving this reliability meant repeatedly: 1. Breaking down complex goals into simpler steps: Composing prompts, tool calls, parsing steps, and branching…
2024 · github.com
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