Alternatives
Products that do what Cortex does
AI log monitor for your homelab — no cloud, no noise
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My first Rust program with support from Cursor :)). few days for idea. 1 night for "talk and fight" with Cursor
2024 · github.com
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Spotify Wrapped for Claude, Codex & a Public leaderboard.
Jun 2026 · whoburnedmore.com
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While building my startup i kept running into the issue where ai agents in cursor create endpoints or code that shouldn't exist, hallucinates strings, or just don't understand the code. ask-human-mcp pauses your agent whenever it’s stuck, logs a question into ask_human.md in your root directory with answer: PENDING, and then resumes as soon as you fill in the correct answer. the pain: your agent screams out an endpoint that never existed it makes confident assumptions and you spend hours debugging false leads the fix: ask-human-mcp gives your agent an escape hatch. when it’s unsure, it calls…
2025 · masonyarbrough.com
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The memory layer that decides what's worth remembering
14d ago · skynetlab-cortex.com
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Hello Everyone, I'm excited to introduce a new open-source observability platform and would love to hear your feedback. We are aware that there are lots of open-source/commercial tools out there. However, we believe that monitoring the clusters and extracting actionable insights requires deep know-how about the tools/domain. We mainly focused on this problem. - Alaz is an eBPF agent installed on your K8s cluster as DaemonSet. Thanks to eBPF, Alaz collects traces directly from Linux kernels. This means there's no need for sidecars, instrumentations, or service restarts. - The UI not…
2023 · github.com
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I started using Claude Code (claude --dangerously-skip-permissions) and Codex (codex --yolo) and realized I had no reliable way to know what they actually did. The agent's own output tells you a story, but it's the agent's story. logira records exec, file, and network events at the OS level via eBPF, scoped per run. Events are saved locally in JSONL and SQLite. It ships with default detection rules for credential access, persistence changes, suspicious exec patterns, and more. Observe-only – it never blocks. https://github.com/melonattacker/logira
Mar 2026 · github.com
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Hi HN, I built this because I got tired of the Claude Code CLI hiding details from me. Recent updates have replaced critical output with summaries like "Read 3 files" or "Edited 2 files". To see what actually happened, I was forced to use `--verbose`, which floods the terminal with unreadable JSON and system prompts. I wanted a middle ground: *Full observability without the noise.* `claude-devtools` is a local Electron app that tails the session logs in `~/.claude/` to reconstruct the execution trace in real-time. *Unlike wrappers, it solves the visibility gap in your native…
Feb 2026 · github.com
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Hi HN, I built Ayder — a single-binary, HTTP-native durable event log written in C. The wedge is simple: curl is the client (no JVM, no ZooKeeper, no thick client libs). There’s a 2-minute demo that starts with an unclean SIGKILL, then restarts and verifies offsets + data are still there. Numbers (3-node Raft, real network, sync-majority writes, 64B payload): ~50K msg/s sustained (wrk2 @ 50K req/s), client P99 ~3.46ms. Crash recovery after SIGKILL is ~40–50s with ~8M offsets. Repo link has the video, benchmarks, and quick start. I’m looking for a few early design partners (any…
Jan 2026 · github.com
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Hi HN, we're Kiran and Vijay! Over the past two years, we have built a columnar storage engine for observability: logs, metrics, and traces. Today, it's exciting for us to show what we've built on top of that foundation: LLM Agent Observability. Given how non-deterministic agents are, storing all traces without sampling was critical for us. But these traces tend to be in the MBs, sometimes GBs - we needed to store them inexpensively. We also needed the queries and analyses to be fast. To meet both these goals, we store them in S3 in our own parquet-like file format, and query them using AWS…
Jul 2026 · oodle.ai
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2015 · github.com
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