Score breakdown
Popularity is tracked separately. Support, ads, sponsorships, and tips never affect these signals.
Why it matters
Most AI coding-agent power users today have been running agents in isolation -- Claude Code figures out a path on its own, Codex figures out a parallel path, OpenClaw figures out yet another path -- and the successful patterns stay locked inside each agent's local session. hkuds/openspace inverts that pattern: the canonical MIT open-source self-evolving agent framework that crystallizes every succ
Who should use it
Who should skip it
Move on from hkuds/openspace if the licensing terms, language support, or platform requirements do not fit your project.
About this signal
hkuds/openspace is tracked by RepoRadar as a tool in the Radar section. It was first seen on 2026-07-09 and last updated on 2026-07-09. The current verdict is 'try now' with a Gold tier and moderate setup difficulty. hkuds/openspace leads on momentum (9.0) and workflow potential (8.7); its lowest signal is maturity (6.3), so factor that in before investing setup time. This page summarizes the evidence RepoRadar has captured from captured source metadata. The score, tier, risk label, and verdict on this page are never influenced by sponsorship, ads, or tips — they reflect only the usefulness, popularity, novelty, momentum, maturity, and evidence signals described in the RepoRadar methodology.
How this item is evaluated
RepoRadar assigned hkuds/openspace a composite score of 8.0 out of 10, placing it in the Gold tier. This score combines weighted sub-signals: usefulness (35%), novelty (18%), momentum (14%), maturity (10%), open-source/build quality (7%), evidence quality (6%), workflow potential (6%), and setup ease (4%). Popularity is tracked separately at 0.0 and never affects the composite score or tier. The risk label of 'low' reflects inherent user-impacting hazards, not generic novelty. Items with no risk flag may still require normal code review before production use.
Putting this into practice? Read How to evaluate an AI tool before you adopt it for the checklist behind this score.
Risk explanation
The 6; 683* repo is at production-grade maturity but the consumer SHOULD note the README's marketing-style claims ('$11K earned in 6 Hours') are maintainer-reported benchmarks not independent measurements -- treat as directional only; the consumer SHOULD review the skill store security model before exposing cross-agent skill sharing to production workloads; the consumer SHOULD review the multi-channel gateway allowlist configuration (WhatsApp + Feishu) before exposing the agent to messages from external contacts.