OPEN-SOURCE AI AGENT INTELLIGENCE Find the signal.Test what matters. Live GitHub intelligence · refreshed every 6 hours
We filter GitHub's noise into credible agent projects and traceable unmet needs—then turn each signal into a focused validation sprint.
LIVE FIELD NOTE GitHub signal map
RADAR scanning evidence ranking
REPOSITORY → ISSUE SIGNAL → ACTION
01 / DISCOVER Skip the GitHub noise Find maintained, relevant agents using visible evidence.
02 / UNDERSTAND Trace real unmet needs Inspect qualified Issues and the original discussions.
03 / EXECUTE Follow a focused sprint Use specific interviews, experiments and decision gates.
— Open-source projects
— Qualified unmet needs
— Leading category
— Top radar signal
DEMAND BEFORE TOOLS Needs repeated across projects Independent GitHub discussions pointing to the same problem—not a list of fashionable tools.
See every repeated need →
No agents found
Try a different search or category.
INDEPENDENT DISCOVERY LAYER
More signal, less AI noise
AI Agent Radar monitors public GitHub repositories and organizes credible agent frameworks, MCP tools and autonomous workflows into a fast, searchable feed. Every listing remains free to explore.
Our goal is to reduce research time for builders by showing what a project does, whether it is maintained, how widely it is adopted and where its limits may be.
How Radar Score works
Radar Score is an independent discovery signal calculated from public GitHub metadata. It is a research aid, not a guarantee of software quality.
Adoption signal GitHub stars and forks
Maintenance signal How recently code was updated
Quality signal License, metadata and project hygiene
Demand signal High-engagement open GitHub issues
Relevance signal Agent-focused topics and project descriptions
Scores help discovery and are not paid placements or endorsements.
Read the full methodology →