ContextOS is a coding AI agent for To help AI programming assistants quickly locate accurate, contextually relevant code files during development. Pricing: Usage-based. As of 2026-10-26, KanonAgent records 2 upvotes. First indexed by KanonAgent on 2026-08-26.
ContextOS is a semantic indexing system that improves how AI coding assistants find relevant code in large repositories.
2 upvotes
Tracked by Kanon since Aug 26, 2026
no signal yet
status
8/100
momentum · conf 0.46
60d
tracked since 2026-08-26
0
evidence records
No signal event on file yet — status is unknown, not "quiet".
📈 Timelinewhat changed, and when
first observedKanon started keeping permanent history for this agent
🔎 Known / Unknown
15 of 23 fields unknown
Machine-callable
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Open source
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Self-hostable
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Bring your own key
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Autonomy level
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Integrations
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“Unknown” means we have not verified it — it is not a “no”. Hard filters never treat unknown as false.
🤖 Agent teardown · coding
Job to be doneTo help AI programming assistants quickly locate accurate, contextually relevant code files during development.
Who it is forSoftware developers and engineering teams working on large-scale codebases.
PricingUsage-based
Traction · why it is risingAdopted by teams struggling with AI assistants returning irrelevant or outdated code snippets.
Why it matters
It directly solves the problem of AI tools wasting tokens and time by searching blindly across vast codebases.
Building ContextOS? Pick a style above — the embed code updates live. Deep color control via URL params: bg= / fg= / accent= (hex). It links back to this page.
