Score breakdown
Popularity is tracked separately. Support, ads, sponsorships, and tips never affect these signals.
Why it matters
Useful for AI engineering teams, agent-platform builders, TypeScript developers, and production agent teams who need an open-source AI Agent Engineering Platform built on a TypeScript-first AI agent framework -- with Agent, Tool, Memory (in-memory / libSQL / PostgreSQL / Supabase), Workflow, Retriever (RAG), MCP Server, and Voice (ElevenLabs) primitives, provider-agnostic LLM
Where this stands now
VoltAgent/voltagent ranks #30 of 2195 tracked Radar items by composite score (8.8 against a section median of 6.2). The section currently carries 1090 Bronze, 646 Gold, 459 Silver. RepoRadar has retained observations for this record since 2026-07-09 (78 days in the current window). Signal extremes versus the section: momentum at the 89th percentile; novelty at the 78th percentile.
Who should use it
Who should skip it
Pass on VoltAgent/voltagent if its scope or audience does not match what your team is building right now.
About this signal
VoltAgent/voltagent is tracked by RepoRadar as an AI project in the Radar section. First seen 2026-07-09; the source record was last checked on 2026-07-09. The current verdict is 'try now' with a Gold tier and easy setup difficulty. Across RepoRadar's eight signals, VoltAgent/voltagent is strongest on workflow potential (9.5) and momentum (9.0) and weakest on maturity (6.8) — a profile worth weighing against your own priorities. This page summarizes the public evidence on the linked source page and states where additional review is still needed.
How this item is evaluated
The VoltAgent/voltagent record combines a 8.8/10 composite score with separate popularity (0.0), risk (none), and setup (easy) signals. See the scoring methodology for the current weights and evidence definitions.
Questions worth asking before you adopt this
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
No inherent user-impacting risk is flagged from the captured evidence.