updated 2026-08-12 05:02 UTC

py-xiaozhi

huangjunsen0406/py-xiaozhi

Open-source AI assistant ecosystem with MCP integrations, multimodal workflows, IoT support, and cross-platform voice in

Voice & Conversational Python Grade D Listed MIT
24.6/100
Rank #842 of 1283
Compare py-xiaozhi

How does it stack up against its Voice & Conversational neighbours?

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Thin or incomplete trust evidence. Review carefully before production use.

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Listing state
Listed
Evidence coverage
Grade D · 1/5 signals
Last push
2026-07-26 · 17d ago
Recent change
New

Is py-xiaozhi safe? py-xiaozhi scores 24.6/100 (Grade D), ranked #842 of 1283 tracked open-source AI agent projects, on evidence coverage D (1 of 5 independent signal types). The public evidence: no package-provenance attestation found; no OSSF Scorecard result yet; 7% of recent commits are signed; last pushed 2026-07-26. Every point is earned from checkable signals — never paid placement. How scoring works →

Ranked neighbours in Voice & Conversational

#7 Call Center AI — 47.9 (D) → #8 Leon — 39.9 (D) → #10 MaiBot — 23.5 (D) → #11 open-claude-tag — 17.6 (D) →

Quick Trust Read

What Would Improve It
Add or improve OSSF Scorecard coverage so safety checks are easier to verify.
Recent Changes
2026-08-10
Newly Listed
First tracked at rank #840
Maintainer Checklist
Add Scorecard coverage Expose the repository to OpenSSF Scorecard checks so supply-chain posture is easier to verify.
Publish provenance Add package provenance or release attestations so users can verify where shipped artifacts came from.
Increase signed commits Raise the share of verified-signed commits to make maintainer identity and release history easier to trust.
Compare with another agent Get email alerts for py-xiaozhi View Voice & Conversational Report missing data
81.7
Activity sub-score · out of 100
#9
In Voice & Conversational

How to read this: HVTrust (0–100) weighs supply-chain signals (provenance, OSSF Scorecard, signed commits, open license) alongside real-world adoption. Grade D reflects the trust score band: A ≥ 80, B ≥ 65, C ≥ 50, D < 50. Evidence coverage D is separate — it grades how many independent signal types back the score (1 of 5), so a high score on thin evidence stays visible. Full methodology →

Signals refreshed 2026-08-12 05:02 UTC · Repo last pushed 17 days ago

Rank Trend

2026-08-11 2026-08-12

Activity & Reach

Stars
3.4k
Forks
722
Last Push
2026-07-26
17 days ago
Commits (4 wk)
89
Downloads (7d)
—
HN mentions (30d)
—
Open Issues
2
Rank Change
=
was #842

Analysis

HVTrust Dimensions vs Voice & Conversational

24.6 / 100 · 50.0% confidence

py-xiaozhi Voice & Conversational average (11 agents)

Safety / Integrity50% OSSF Scorecard · 30% provenance · 20% signed commits
0.4 / 25
8.4 below avg 8.8
Identity / Provenance60% listing status · 40% build provenance
10.8 / 18
1.3 below avg 12.1
Transparency50% declared license · 50% OSSF Scorecard
8.5 / 17
3.2 below avg 11.7
Maintenance60% last-push freshness · 40% commit activity
18.7 / 20
2.0 above avg 16.7
AdoptionLog-scaled stars · package downloads
8.5 / 20
2.7 below avg 11.2

Activity Inputs

81.7 / 100
StarsRepository reach
21.2 / 30
FreshnessLast push recency
22.6 / 25
ActivityRecent commits
24.4 / 25
CommunityFork signal
13.3 / 20

Supply Chain Trust

Package Provenance
None
No package attestations found
OSSF Scorecard
—
Not available
Signed Commits
7%
of last 100 commits verified

Is py-xiaozhi safe?

Public trust evidence for py-xiaozhi is thin: several supply-chain signals are missing or weak. This does not mean the project is unsafe — it means an outside observer cannot easily verify the usual integrity checks. Treat with extra scrutiny.
Does py-xiaozhi publish package provenance?
No published build provenance is currently detected for py-xiaozhi. This is common for open-source projects but means consumers cannot independently verify that the package on the registry matches the GitHub source.
Does py-xiaozhi have an OpenSSF Scorecard?
No OpenSSF Scorecard data is currently published for py-xiaozhi. Maintainers can enable the Scorecard GitHub Action to get a public score; without it, automated supply-chain hygiene is harder for outsiders to verify.
Is py-xiaozhi actively maintained?
Maintained. Last push was 17 days ago.
What license does py-xiaozhi use?
py-xiaozhi ships under MIT. A declared, OSI-approved license is one of the transparency signals HVTrust scores.
Are py-xiaozhi's commits signed?
7% of the last 100 commits to py-xiaozhi are verified-signed (GPG, SSH, S/MIME, or GitHub's signing flow). Signed commits help confirm that code was authored by who the commit claims.

Not a safety endorsement. HVTracker describes what public signals show, not whether a project is safe for your use case. Run your own security review before adopting in production.

AI agent surface

MCP, providers, tool surface
Scored in HVTrust

These runtime-trust fields — detected from public repo docs and manifests — contribute a bounded adjustment to this project's HVTrust score alongside supply-chain evidence. The exact values each field can add or subtract are documented in the methodology → Compare this surface across every listed agent in the capability matrix →

MCP Server Support
high confidence
Implemented
py-xiaozhi appears to expose MCP server capabilities.
Detailed evidence is not shown in the public view.
External Service Dependencies
medium confidence
1 detected
Public provider/service dependencies detected.
Credential signal: No explicit API-key/config marker detected.
Tool / Plugin Surface
high confidence
Extensions
Extension based plugin/integration surface detected.
  • filesystem
Detailed evidence is not shown in the public view.
Package Provenance Drift
N/A
No package source configured
Detailed evidence is not shown in the public view.
  • MCP signal live
  • External deps live
  • Tool / plugin surface live
  • Package provenance drift live

Maintain py-xiaozhi?

For maintainers

HVTrust scores py-xiaozhi from public signals only — we never contact maintainers first. If a signal is wrong, stale, or missing (provenance you publish, a Scorecard you run, signed releases), tell us and we'll review it. Corrections are public and tracked on GitHub.

Submit a correction → Add the trust badge

Reputation Timeline

Signal history
Listed 1
2026-08-10
Newly Listed
First tracked at rank #840
GitHub →

Embed Badge Badge guide for maintainers →

For maintainers
HVTrust 24.6 Grade D
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Other agents in Voice & Conversational

Data sources
GitHub REST API (repo, commits, stars, forks, license)
Each agent's signals refresh once daily across 6 staggered batches. Methodology v4.3 · Raw JSON