Item detail
github.com

geezerrrr/motive

geezerrrr/motive is an agent project in RepoRadar's Agent Infrastructure section, holding Bronze tier and a 'watch' verdict. Its strongest signal is open-source/build quality, scored 8.4 out of 10.

Score4.5
Popularity0.0
Riskconditional
TierBronze
Score breakdown
Usefulness4.5
Novelty4.0
Momentum3.5
Maturity3.5
Open-source/build8.4
Evidence7.2
Workflow potential5.3
Setup ease5.0

Popularity is tracked separately. Support, ads, sponsorships, and tips never affect these signals.

Why it matters

geezerrrr/motive matches RepoRadar's tracked scope on the repository's own declared topics (ai-agent, ai-agents, ai-tools, claude-code, codex, cowork), and is currently maintained: 115 stars and a push on 2026-10-10. This record states only what the repository states about itself; RepoRadar has not run it.

Where this stands now

geezerrrr/motive ranks #754 of 1507 tracked Agent Infrastructure items by composite score (4.5 against a section median of 4.5). The section currently carries 1419 Bronze, 57 Silver, 31 Gold.

Who should use it

Software developers Engineering teams

Who should skip it

Pass on geezerrrr/motive if the evidence quality or maturity is too thin for your current needs.

About this signal

geezerrrr/motive is tracked by RepoRadar as an agent project in the Agent Infrastructure section. First seen 2026-10-10; the source record was last checked on 2026-10-10. The current verdict is 'watch' with a Bronze tier and unknown setup difficulty. geezerrrr/motive leads on open-source/build quality (8.4) and evidence quality (7.2); its lowest signal is maturity (3.5), so factor that in before investing setup time. This page summarizes the evidence RepoRadar captured from https://github.com/geezerrrr/motive.

How this item is evaluated

The geezerrrr/motive record combines a 4.5/10 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.

Evidence links
Closest alternatives / related signals
ai-agent ai-agents ai-tools claude-code codex cowork gemini-cli macos
Verification record

What RepoRadar actually verified

Discovered

Automated discovery and source capture. Last checked 2026-10-10T17:09:29.745535Z.

No editorial or hands-on review is claimed. This record remains at Discovered.

Verification sources

Longitudinal intelligence

How this decision record is moving

Raw history JSON →

History begins 2026-10-10; trends appear after a second dated snapshot. Stars, version, release, pricing, integration, risk, maintenance, verdict, score, and momentum fields remain explicit even when a source has not reported them. Repository momentum is a normalized 0–10 RepoRadar signal; GitHub stars appear only where the popularity monitor retained exact timestamped observations.

RepoRadar scoreTrend begins after a second recorded point.
Repository momentumTrend begins after a second recorded point.
GitHub stars (observed)Trend begins after a second recorded point.
GitHub stars115 exact observation
Versionv0.11.4
Last release2026-02-28T08:50:52Z
MaintenanceActive
Current riskConditional
Current verdictWatch
Pricing baselineNo structured commercial pricing baseline
Pricing checkedNot applicable or not recorded
Pricing freshnessNo dated commercial pricing review
Integrations baselineClaude Code, OpenAI, OpenAI Codex

Recent dated points

DateScoreMomentumStarsRiskVerdictMaintenance
2026-10-104.59.0115ConditionalWatchActive

Why the record changed

New entry

Newly added to RepoRadar's decision catalog.