Use for Signet Dreaming development: inspect existing source, semantic-memory, retrieval, and inference architecture before changing it; prevent duplicate modules and ad-hoc providers.
Signet-AI/signetai
SkillsMP has collected 9 skills from Signet-AI/signetai. Open a skill to review its source and details.
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Maintain Signet's living ontology and memory substrate from transcripts, memory artifacts, source artifacts, notes, summaries, and imported records.
Prune and route AGENTS.md trees for durable, high-signal context.
Interactive interview to set up your Signet workspace (~5-10 minutes). Writes identity files to ~/.agents/ — does not access external APIs, send data anywhere, or execute arbitrary code. Use when user runs /onboarding or says 'set up my agent'.
Navigate Signet ontology and knowledge graph state from Codex.
Use Signet-specific recall and source search from Codex without confusing it with Codex native memory.
Save explicit notes into Codex native memory through Signet.
Search Signet transcript/session evidence from Codex.
Automatically benchmark your custom memory implementation against established systems like Supermemory. Set up a public benchmark, or create your own. Compare solutions against quality, latency, features and cost, easily, with a simple UI and CLI.