Alternatives
Products that do what Giam does
Drop‑in security for your observability stack
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2023 · blog.randombits.host
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Trace LLM requests + costs with OpenTelemetry monitoring
Oct 2025
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Unofficial Grafana Agent Observability plugin for Hermes Agent - alexander-akhmetov/grafana-agento11y-hermes
22d ago · github.com
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Hey HN, we’re Robert, Din and Temirlan from Laminar (https://www.lmnr.ai), an open-source observability and analytics platform for complex LLM apps. It’s designed to be fast, reliable, and scalable. The stack is RabbitMQ for message queues, Postgres for storage, Clickhouse for analytics, Qdrant for semantic search - all powered by Rust. How is Laminar different from the swarm of other “LLM observability” platforms? On the observability part, we’re focused on handling full execution traces, not just LLM calls. We built a Rust ingestor for OpenTelemetry (Otel) spans with GenAI…
2024 · github.com
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I work as a SAP Integration consultant and built this as a side project. Friction point: Most self hosted LLM observability tools require Postgres, Redis and non trivial infrastructure. Teams just want to see what their agents are actually doing in Production, that set up cost discorages adoption. Torrix runs as a single docker contained backed by SQLite. The full install is: curl -o docker-compose.yml https://raw.githubusercontent.com/torrix-ai/install/main/doc... docker compose up No external dependencies. All data stays in a local SQLite file on your machine.…
May 2026 · github.com
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Dear HN community! Looking forward to hearing your feedback on ACE (assured confidential execution), technology that implements VM-based trusted execution environment (TEE) for embedded RISC-V systems with focus on a formally verified and auditable firmware. We target high-assurance systems that can benefit from compartmentalization and hardware-backed isolation. The key ingredient called security monitor (firmware) is implemented in Rust. The formal specification is defined as annotations directly in code and gets translated to Coq using RefinedRust automation. ACE design is now part of the…
2025 · github.com
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Hi HN, Matvey, Ildar, Joey, and Dominik here. If you're building LLM agents that use tools, you're probably worried about prompt injection attacks that can hijack those tools. We were too, and found that solutions like prompt-based filtering or secondary "guard" LLMs can be unreliable. Our thesis is that agent security should be handled at the network level between the agent and the LLM, just like a traditional web application firewall. So we built Archestra Platform: an open-source gateway that acts as a secure proxy for your AI agents. It's designed to be a deterministic firewall against…
Oct 2025 · archestra.ai
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I'm working at Sauce Labs on a fast MITM proxy. If you are using mitmproxy, Fiddler or Charles proxy in your job I believe you'll find it invaluable. Forwarder 1.1 is now available, complete with a Grafana Dashboard for effortless monitoring. We are committed to making it great. I welcome your feedback. Cheers Michał
2023 · forwarder-proxy.io
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I do fullstack dev for work and side projects and recently moved everything to a couple VPSs on hetzner. Great setup, low cost, but one thing kept bugging me, how do I know if something is down without manually sshing in all the time? I tried the grafana + prometheus stack but the configuration time and seeing it use more resources than my actual apps was rough. Tried some smaller solutions too but nothing felt right. So I said screw it and built exactly what I wanted. tori is a single go binary that runs on your server, reads host metrics from /proc and /sys, monitors containers…
Feb 2026 · github.com
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We’re open-sourcing a simple way to add “canary tools” to AI agents via MCP honeypots. These are functions your agent should never call during normal operation. If a canary is invoked, you get a high-fidelity signal of prompt-injection, tool hijacking, or lateralization—no heuristics, no extra model calls. What it is: - Go framework exposing decoy tools over MCP that look legitimate (names/params/descriptions), return safe dummy output, and emit telemetry when invoked. - Runs alongside your real tools; ship events to stdout/webhook or your pipeline (Prometheus/Grafana,…
2025
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Hey HN, I built browser-use, an open-source alternative to OpenAI’s Operator for browser-use systems, and here’s why I think it’s better: Flexibility: You can use any LLM with our tool – Gemini, Anthropic, Qwen, Llama, DeepSeek, and more. As new models improve, so does your agent. Open Source: No need to pay $200/month or endure long waitlists – it’s free and accessible to everyone today. Custom Automation: Our Python package allows you to build actual web automations. Your LLM can gain new tools, like file uploads. Cost: Our system is 30x cheaper than Operator, e.g., when used with…
2025 · github.com
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Uptrace is an open source APM that supports distributed tracing, metrics, and logs. You can use it to monitor applications and troubleshoot issues. The latest v1.6 release adds support for service graphs, Prometheus remote write, Grafana data source for Prometheus, annotations, and much more. The main feature in this release is the ability to use Uptrace as a Prometheus data source in Grafana. Uptrace uses the original Prometheus engine, so all Prometheus queries should be supported and you should be able to use existing Grafana dashboards with the Uptrace data source. You can learn more in…
2024 · uptrace.dev
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Hi HN, We’re excited to share gcx, a new CLI we’ve been building for Grafana Cloud. With the rise of agentic coding tools like Claude Code and Codex we're building faster than ever, but these agents are often blind to what’s actually happening in production. gcx brings the full power of Grafana Cloud observability to your terminal. Query production. Investigate alerts. Let the Assistant root-cause issues. Ship fixes with observability built in. Without leaving your editor. gcx also comes packaged with a skills bundle that allow agents to see and act on your production telemetry. You can ask…
Apr 2026 · github.com
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With the right technique, I was able to break the so-called secure models like Claude and OpenAI. So, I built an open-source tool to automate this and find security holes in any hosted model. I got claude-sonnet-4 to demonstrate the following harmful behavior: - steal data from downstream tool calls using sql injection, code injection and template injection attacks - install spyware or malware using prompt obfuscation to send data to a third-party server Try it yourself with this simple command: pip install compliant-llm && compliant-llm dashboard
2025 · github.com
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