Alternatives
Products that do what CYTEM does
Discover. Intelligence. Validate
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Trace LLM requests + costs with OpenTelemetry monitoring
Oct 2025
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a flexible threat detection platform that simplifies rule execution and management with k8s cronJobs and helm. flexible enough to run standalone or with other schedulers like hashicorp nomad.
2024 · github.com
- 10CS
Coding agents don't have long-term memory. But you do have months of full-fidelity agent transcripts stored on your machine. A simple solution that goes a long way: ingest those transcripts and logs into a structured SQLite database, then search them with ranked text match. Everything is fully local and doesn't require anything fancy like a graph database or hosted memory service. This is the idea behind ctx, a Rust CLI that handles the ingestion and searching. We give our agents a skill that tells them to reference past sessions before working in an area. Usually we do this through an…
Jul 2026 · github.com
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Jun 2026 · github.com
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Hi HN! We’re Clemens and Felix from Cito - thrilled to show you what we’ve built to help data engineers stay on top of data quality issues. Think Datadog meets Incident.io. Tests in dbt are great when checking whether specific expectations are true, but don’t work well for use cases where data patterns may change over time. When relying on testing alone, data teams regularly face situations where business stakeholders identify data issues in dashboards first, eroding trust. In such situations, understanding the implications of an issue and debugging can be a very manual and time-consuming…
2022 · citodata.com
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This project is a tool for engineers who live in the terminal and are tired of losing their command history to ephemeral servers or fragmented `.bash_history` files. If you’re jumping between dozens of boxes, many of which might be destroyed an hour later, your "local memory" (the history file) is essentially useless. This tool builds a centralized, permanent brain for your shell activity, ensuring that a complex one-liner you crafted months ago remains accessible even if the server it ran on is long gone. The core mechanism wants to be a "zero-touch" capture that happens at the connection…
Jan 2026 · github.com
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Hi HN! We’re a team of ML validation specialists and we’ve been building /Spec27, a tool for testing whether AI agents still do their job safely and reliably as models, prompts, tools, and surrounding systems change. We started working on this because a lot of current LLM evaluation work seems aimed at scoring general model behavior, while many teams are deploying systems that have a specific mission to fulfill. Many of the tools also assume you have full access to the agent stack and traces so you can place SDKs and Gateways, but a lot of agents are being created on vendor platforms…
Apr 2026 · spec27.ai
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Hi HN, Working with multiple projects, I got tired of re-explaining our complex multi-node system to LLMs. Documentation helped, but plain text is hard to search without indexing and doesn't work across projects. I built Linggen to solve this. My Workflow: I use the Linggen VS Code extension to "init my day." It calls the Linggen MCP to load memory instantly. Linggen indexes all my docs like it’s remembering them—it is awesome. One click loads the full architectural context, removing the "cold start" problem. The Tech: Local-First: Rust + LanceDB. Code and embeddings stay on your machine. No…
Dec 2025 · github.com
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I built a GitHub app that detects it in pull requests, notifies or blocks them. Alongside it, I published a Semgrep ruleset for any stage of the CI/CD. I started this after getting frustrated by all the FUD around malicious code - lots of noise, little effort to solve it. Having said that, it's still a major attack vector - a stored RCE, with the codebase itself as the sink. Feedback is appreciated. The app, PRevent - https://github.com/apiiro/PRevent The ruleset: https://github.com/apiiro/malicious-code-ruleset The research:…
2025 · github.com
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Hi HN, Hugh and Vince here. LLMonitor helps you record, trace & search your LLM queries and chatbot conversations. You can also capture user feedback on your frontend and correlate it with backend LLM queries then use that to fine-tune your own models. The project started has an internal tool in our previous (failed) AI startup. We’re aware the LLM observability space is very crowded. Apart from being open-source, we differentiate with: - Model-agnostic and minimal lock-in (no MITM of requests). - High focus on DX and dashboard clarity. - Support for complex scenarios: e.g. a chatbot that…
2023 · github.com
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LLM observability is an absolute must-have for anyone running something in prod (or prod-like). While all the observability startups are great, you're essentially sending all your OpenAI usage history - prompts, generations, chats - to a random third party. So this script deploys a basic proxy in your Azure account, catches all incoming OpenAI requests, stores logs in your own resource group, and comes with visualizations premade (charts, timelines, chat history, cost estimation, etc). Thanks for any thoughts and feedback!
2023 · github.com
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There is too much of everything in cybersecurity. Noise, FUD, unfulfilled sales promises, incidents, things to address, information to process, technologies to look at, people to educate. I am working as a CISO and it's mostly my job to raise awareness, understand all the risks, track all current issues and prioritize them, and be able to communicate all that with proper references and examples to our management team. I've been building and dogfooding a tool that ingests much of the noise and provides focused notifications per cybersecurity topic and regular awareness texts. The idea was to…
2023 · beyondmachines.net
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Real-time vulnerability scanning and auto-patching CLI tool.
Jul 2026 · v0-azeminal.vercel.app
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