Item detail
github.com

shiwenwen/hope-agent

shiwenwen/hope-agent is a hosted app or demo that RepoRadar is tracking in its AI Productivity section, currently rated Gold tier with a 'try now' verdict. Its strongest signal is workflow potential, scored 9.6 out of 10.

Score8.5
Popularity74.0
Riskconditional
TierGold
Score breakdown
Usefulness8.0
Novelty8.0
Momentum8.0
Maturity8.2
Open-source/build8.4
Evidence7.2
Workflow potential9.6
Setup ease6.4

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

Why it matters

Useful for people who want a self-hosted personal assistant with real continuity across desktop, browser, and service modes rather than a one-tab chatbot that forgets how they work.

Who should use it

power users self-hosters people testing personal AI assistants users who want cross-device continuity

Who should skip it

Skip shiwenwen/hope-agent unless the captured evidence suggests it solves a problem you are actively working on.

About this signal

shiwenwen/hope-agent is tracked by RepoRadar as a hosted app or demo in the AI Productivity section. It was first seen on 2026-06-19 and last updated on 2026-06-19. The current verdict is 'try now' with a Gold tier and moderate setup difficulty. shiwenwen/hope-agent leads on workflow potential (9.6) and open-source/build quality (8.4); its lowest signal is setup ease (6.4), so factor that in before investing setup time. This page summarizes the public evidence on the linked source page and states where additional review is still needed. 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 shiwenwen/hope-agent a composite score of 8.5 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 74.0 and never affects the composite score or tier. The risk label of 'conditional' 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 vet an AI agent or MCP server before you wire it in for the checklist behind this score.

Risk explanation

Hope Agent is built to accumulate personal context and, on supported setups, observe or control parts of the local computer, so begin with non-sensitive accounts and grant desktop permissions only after checking exactly what it can access.

Evidence links
Closest alternatives / related signals
assistant cross-device desktop-ai memory tauri
Verification record

What RepoRadar actually verified

Discovered

Automated discovery and source capture. Last checked 2026-08-03T18:56:10Z.

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 →

36 dated snapshots retained from 2026-06-19 through 2026-08-03; see the snapshot index for explicit coverage gaps. 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 score8.5 current · +0.0 net
Repository momentum9.3 current · +1.3 net
GitHub stars (observed)1,343 current · +177 net
GitHub stars1,343 exact observation
Versionv0.27.0
Last release2026-07-31T17:07:13Z
Maintenanceactive
Current riskconditional
Current verdicttry now
Pricing baselineNo structured commercial pricing baseline
Pricing checkedNot applicable or not recorded
Pricing freshnessNo dated commercial pricing review
Integrations baselineAnthropic, Claude, Google Gemini, Model Context Protocol, OpenAI, OpenAI Codex

Recent dated points

DateScoreMomentumStarsRiskVerdictMaintenance
2026-08-038.59.31,343conditionaltry nowactive
2026-08-028.59.31,333conditionaltry nowactive
2026-08-018.59.01,324conditionaltry nowactive
2026-07-318.58.0Not recordedconditionaltry nownot recorded
2026-07-308.58.0Not recordedconditionaltry nownot recorded
2026-07-298.58.51,305conditionaltry nowactive
2026-07-288.59.01,306conditionaltry nowactive
2026-07-218.59.01,212conditionaltry nowactive
2026-07-208.59.01,212conditionaltry nowactive
2026-07-198.59.01,212conditionaltry nowactive
2026-07-188.59.01,212conditionaltry nowactive
2026-07-178.59.01,212conditionaltry nowactive

Why the record changed

stars changed

Stars changed: 1333 → 1343.

stars changed

Stars changed: 1324 → 1333.

stars changed

Source-observed stars changed: 1322 → 1324. This reports the retained observation delta and does not infer why the upstream change occurred.

version changed

Version changed: v0.24.0 → v0.25.0.

stars changed

Stars changed: 1306 → 1305.

stars changed

Source-observed stars changed: 1305 → 1306. This reports the retained observation delta and does not infer why the upstream change occurred.

stars changed

Stars changed: 1212 → 1305.

version changed

Version changed: v0.17.0 → v0.24.0.

stars changed

Source-observed stars changed: 1211 → 1212. This reports the retained observation delta and does not infer why the upstream change occurred.

stars changed

Source-observed stars changed: 1210 → 1211. This reports the retained observation delta and does not infer why the upstream change occurred.

stars changed

Stars changed: 1166 → 1210.