session-watcher — alternative #1 to context-rot-detection
📇 🏠 🍎 🪟 🐧 - EOQ-based context economics for coding agents. Monitors LLM token cache with inventory theory, signals optimal session restart t...
Search tools, jump to categories, and open key destinations
Recorded alternatives
Every candidate below sits in AI. What ends up on this page is decided entirely by a recorded score — not by bidding, not by editor taste. Review both records, check current vendor terms, then decide.
📇 🏠 🍎 🪟 🐧 - EOQ-based context economics for coding agents. Monitors LLM token cache with inventory theory, signals optimal session restart t...
⭐ 16.7k [Prime Intellect] — Self-improving RLM coding agent where a persistent IPython kernel is the model's only tool, so file edits, shell...
📇 🏠 - Self-custodial crypto portfolio for AI agents. Reads EVM wallet balances, ENS, token prices, and DeFi positions across Ethereum/Arbitr...
📇 ☁️ - Calibrated world model for AI agents from 9,700+ prediction markets. 16 MCP tools covering real-time world state, market search, thes...
Hoku is your AI health coach that syncs with your data, learns your health preferences, and gives you all the guidance and tools to optimise...
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Each candidate is a live catalogue record in the same primary category, picked by a deterministic score that Oryxen records in its catalogue: how many meaningful words the two listings share, whether their pricing classes oppose (a paid product against a free one), whether both are open source, and whether either record is featured. The same catalogue state always produces the same list — no randomness, no manual ranking.
No. Rows are ordered only by the recorded score, highest first, with alphabetical ties — payment never influences the order, nothing here is paid placement, and Oryxen charges no listing or placement fee.
Always verify current terms with context-rot-detection directly — Oryxen records pricing classes, not live quotes.