Sol-Luna – adaptive Codex orchestration that can choose zero workers is a skill AI agent for Automatically determine whether to launch worker nodes during AI task execution to achieve cost-efficient, intelligent scheduling. Pricing: not stated on the product page. As of 2026-10-27, KanonAgent records 1 upvotes. First indexed by KanonAgent on 2026-08-16.
A self-adapting task orchestration system that decides whether to activate worker nodes based on workload, enabling zero-cost execution when unnecessary.
1 upvotes
Tracked by Kanon since Aug 16, 2026
Status basis: npm_downloads_7d momentum fell to -178 per 3d from 10 (<= 40% of the prior window)
📈 Timelinewhat changed, and when
- Cooling npm_downloads_7d momentum fell to -178 per 3d from 10 (<= 40% of the prior window)
- Anomaly daily change -169.0 is -3.3 standard deviations from this entity's own prior mean (-12.9±46.9, baseline excludes this point) — unusual, not necessarily adoption
- Accelerating npm_downloads_7d gained 7 in the last 3d after a flat 3d baseline (no prior movement to compare a ratio against)
- Anomaly daily change -169.0 is -3.3 standard deviations from this entity's own prior mean (-12.9±46.9, baseline excludes this point) — unusual, not necessarily adoption
- Cooling npm_downloads_7d momentum fell to 4 per 3d from 157 (<= 40% of the prior window)
- Accelerating npm_downloads_7d gained 7 in the last 3d after a flat 3d baseline (no prior movement to compare a ratio against)
- Cooling npm_downloads_7d momentum fell to -3 per 3d from 156 (<= 40% of the prior window)
- Cooling npm_downloads_7d momentum fell to 0 per 3d from 155 (<= 40% of the prior window)
- Anomaly daily change 157.0 is 4.2 standard deviations from this entity's own prior mean (-20.4±42.3, baseline excludes this point) — unusual, not necessarily adoption
- Anomaly daily change 157.0 is 4.2 standard deviations from this entity's own prior mean (-20.4±42.3, baseline excludes this point) — unusual, not necessarily adoption
- Cooling npm_downloads_7d momentum fell to 0 per 3d from 155 (<= 40% of the prior window)
- Anomaly daily change 157.0 is 4.2 standard deviations from this entity's own prior mean (-20.4±42.3, baseline excludes this point) — unusual, not necessarily adoption
- Accelerating npm_downloads_7d gained 155 in the last 3d vs 15 in the 3d before (ratio 10.3x, threshold 1.5x)
- Anomaly daily change 157.0 is 4.2 standard deviations from this entity's own prior mean (-20.4±42.3, baseline excludes this point) — unusual, not necessarily adoption
- Cooling npm_downloads_7d momentum fell to -4 per 3d from 17 (<= 40% of the prior window)
- Accelerating npm_downloads_7d gained 155 in the last 3d vs 15 in the 3d before (ratio 10.3x, threshold 1.5x)
- Anomaly daily change 157.0 is 4.2 standard deviations from this entity's own prior mean (-20.4±42.3, baseline excludes this point) — unusual, not necessarily adoption
- Cooling npm_downloads_7d momentum fell to -3 per 3d from 26 (<= 40% of the prior window)
- Accelerating npm_downloads_7d gained 15 in the last 3d vs 6 in the 3d before (ratio 2.5x, threshold 1.5x)
- Cooling npm_downloads_7d momentum fell to -3 per 3d from 23 (<= 40% of the prior window)
- Accelerating npm_downloads_7d gained 17 in the last 3d vs 4 in the 3d before (ratio 4.3x, threshold 1.5x)
- Accelerating npm_downloads_7d gained 17 in the last 3d vs 4 in the 3d before (ratio 4.3x, threshold 1.5x)
- Cooling npm_downloads_7d momentum fell to -28 per 3d from 25 (<= 40% of the prior window)
- Cooling npm_downloads_7d momentum fell to -23 per 3d from 20 (<= 40% of the prior window)
🔎 Known / Unknown
14 of 23 fields unknown
| Machine-callable | — | unknown | — |
| Open source | 1 | inferred | 1 quote(s) |
| Self-hostable | — | unknown | — |
| Bring your own key | — | unknown | — |
| Autonomy level | 3 | inferred | 2 quote(s) |
| Pricing model | — | unknown | — |
| Integrations | mcp | inferred | 1 quote(s) |
“Unknown” means we have not verified it — it is not a “no”. Hard filters never treat unknown as false.
🤖 Agent teardown · skill
Job to be doneAutomatically determine whether to launch worker nodes during AI task execution to achieve cost-efficient, intelligent scheduling.
AutonomyL3 · plans autonomously(evidence: "verificationCommands: ["node --test test/retry.test.mjs"]…")
Who it is forB2B SaaS companies and AI infrastructure teams
Prerequisitesopen source
Integrationsmcp
Why it matters
Introduces a novel approach to lightweight AI orchestration by eliminating overhead when it's not needed, advancing efficiency in agent-based systems.
Evidence quotesverbatim, from the product’s own materials
“public GitHub repository (README fetched)”— structural
“verificationCommands: ["node --test test/retry.test.mjs"]”— readme
“Sol first decides whether delegation is worthwhile at all.”— readme
“An MCP server that lets a supervising OpenAI Codex agent”— readme
Signal source: Show HN
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FAQ
What is Sol-Luna?
A self-adapting task orchestration system that decides whether to activate worker nodes based on workload, enabling zero-cost execution when unnecessary.
What does Sol-Luna do?
Automatically determine whether to launch worker nodes during AI task execution to achieve cost-efficient, intelligent scheduling.
Why does Sol-Luna matter?
Introduces a novel approach to lightweight AI orchestration by eliminating overhead when it's not needed, advancing efficiency in agent-based systems.
Is Sol-Luna open source?
Yes — Sol-Luna is open source.
What does Sol-Luna integrate with?
mcp
How popular is Sol-Luna?
As tracked by KanonAgent: 1 upvotes (first indexed 2026-08-16).
What are the best Sol-Luna alternatives?
Similar AI agents tracked by KanonAgent: Stealth Venture, taste-skill, open-design, deer-flow, ruflo, career-ops.