Score breakdown
Popularity is tracked separately. Support, ads, sponsorships, and tips never affect these signals.
Why it matters
capsulerun/runtime matches RepoRadar's tracked scope on the repository's own declared topics (agentic-workflow, ai-agents, code-execution, code-interpreter, javascript, llm), and is currently maintained: 300 stars and a push on 2026-10-12. This record states only what the repository states about itself; RepoRadar has not run it.
Where this stands now
capsulerun/runtime ranks #277 of 1533 tracked Agent Infrastructure items by composite score (4.9 against a section median of 4.5). The section currently carries 1443 Bronze, 59 Silver, 31 Gold.
Who should use it
Who should skip it
Skip capsulerun/runtime for now if you are only tracking items with a 'try now' verdict.
About this signal
capsulerun/runtime is tracked by RepoRadar as an agent project in the Agent Infrastructure section. First seen 2026-10-12; the source record was last checked on 2026-10-12. The current verdict is 'watch' with a Bronze tier and unknown setup difficulty. The standout signals for capsulerun/runtime are open-source/build quality (8.4) and evidence quality (7.2), while momentum (3.5) trails — that balance shapes where it fits best. This page summarizes the evidence RepoRadar captured from https://github.com/capsulerun/runtime.
How this item is evaluated
The capsulerun/runtime record combines a 4.9/10 composite score with separate popularity (0.0), risk (conditional), and setup (unknown) signals. See the scoring methodology for the current weights and evidence definitions.
Putting this into practice? Read How to vet an AI agent or MCP server before you wire it in for the checklist behind this score.
Risk explanation
Discovered automatically from GitHub metadata and not installed, run, or reviewed by RepoRadar; Scout-staged and not hands-on tested by RepoRadar. Evidence level is Official; confirm the vendor's current install, pricing, and access terms before adopting.