updated 2026-10-09 16:07 UTC

PraisonAI

Repository Website

PraisonAI 🦞 — Hire a 24/7 AI Workforce. Stop writing boilerplate and start shipping autonomous self-improving agents that research, plan, code, and execute tasks. Deployed in 5 lines of code with built-in memory, RAG, and support for 100+ LLMs.

Agent Frameworks Python Listed MIT

Is PraisonAI safe? Promising trust profile, but some evidence still deserves review.

OSSF Scorecard 5.4 / 10
Provenance None
Signed commits 39%
Last push today
Advisories None known
Compare PraisonAI

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In detail: PraisonAI scores 67.9/100 (Grade B), ranked #409 of 1371 tracked open-source AI agent projects, on evidence coverage B (3 of 5 independent signal types). The public evidence: no package-provenance attestation found; OSSF Scorecard rates its supply-chain practices 5.4/10; 39% of recent commits are signed; no published advisory affects its latest release (praisonai); last pushed 2026-10-09. Every point is earned from checkable signals — never paid placement. How scoring works →

How PraisonAI could raise its score

Each line changes one public signal and recomputes with the live scoring function. The gains don't add up exactly, because the score is capped near the top.

Already done? Suggest a correctionAdd the trust badge

Chain of custody

Scanners check what the code says. This traces who ships PraisonAI and whether that has changed: from the source repository, through how changes are reviewed and released, to the package you install. These are the checks for OWASP ASI04 Agentic Supply Chain Vulnerabilities.

  1. Source Partly signed

    github.com/MervinPraison/PraisonAI, MIT, last pushed 2026-10-09. 39% of the last 100 commits carry a verified signature; the rest can't be tied to a verified identity.

  2. Review and release Mixed

    OpenSSF Scorecard rates the repository's practices 5.4/10 (scanned Aug 24, 2026, refresh pending). The checks that decide who can get a change released:

    • Code Review0
    • Branch Protection3
    • Signed Releasesn/a
    • Dangerous Workflow10
    • Token Permissions0
    • Pinned Dependencies0
    All 18 Scorecard checks
    Binary-Artifacts 10
    Branch-Protection 3
    CI-Tests 10
    CII-Best-Practices 0
    Code-Review 0
    Contributors 10
    Dangerous-Workflow 10
    Dependency-Update-Tool 10
    Fuzzing 0
    License 10
    Maintained 10
    Packaging 10
    Pinned-Dependencies 0
    SAST 0
    Security-Policy 10
    Signed-Releases -1
    Token-Permissions 0
    Vulnerabilities 0

  3. Published packages Linked, not attested

    • PyPI praisonai Source link points back to this repo No build attestation

    Without a build attestation, nothing proves the published files were built from this repository.

  4. What you install today No known advisories

    Latest release checked: praisonai 4.7.13. No published advisory affects it (OSV, checked 2026-10-09).

Changes to this chain

No change to package provenance, package source links, Scorecard coverage or license in HVTracker's daily snapshots of PraisonAI.

Evidence behind this score

Coverage B: 3 of 5 independent evidence types found.

  • GitHub repository data
  • Package downloads
  • Supply-chain checks
  • Public actions (missing)
  • Community mentions (missing)

Verify this score yourself

Every build re-issues PraisonAI’s score as an Ed25519-signed credential, valid for 7 days. You can check it offline against HVTracker’s published key; if anyone changes a number after signing, verification fails.

Signed credential (JSON) How to verify

What this score doesn’t check

It covers who ships the code, not what the code does. It doesn’t read tool descriptions or prompts for injected instructions, watch runtime behaviour, or find bugs nobody has disclosed yet. For that, run a content scanner before you connect it, such as Cisco MCP Scanner or Snyk Agent Scan.

How PraisonAI compares in Agent Frameworks

  1. #27 Nx 69.1 +1.2
  2. #28 Astrid 67.9 ±0
  3. #29 PraisonAI 67.9 this agent
  4. #30 1Panel 67.6 −0.3
  5. #31 Burr 67.4 −0.5

Bars show each HVTrust score; the tick marks PraisonAI’s 67.9.

Where the 67.9 comes from

HVTrust dimensions vs the Agent Frameworks average

67.9 / 100 · 100.0% confidence

PraisonAI Agent Frameworks average (129 agents)

Safety / Integrity50% OSSF Scorecard · 30% provenance · 20% signed commits
8.7 / 25
0.9 below avg 9.6
Identity / Provenance60% listing status · 40% build provenance
10.8 / 18
0.8 below avg 11.6
Transparency50% declared license · 50% OSSF Scorecard
13.1 / 17
0.8 above avg 12.3
Maintenance60% last-push freshness · 40% commit activity
20.0 / 20
5.7 above avg 14.3
AdoptionLog-scaled stars · package downloads
14.5 / 20
3.3 above avg 11.2

Quick Trust Read

What Would Improve It
Publish package provenance or release attestations for stronger supply-chain evidence.
Recent Changes
2026-10-09
Rank Moved
Rank dropped 11 spots (#398 → #409)
2026-10-08
Rank Moved
Rank dropped 38 spots (#360 → #398)
2026-10-04
Rank Moved
Rank rose 21 spots (#391 → #370)
Maintainer Checklist
Raise Scorecard signals Current OSSF Scorecard is 5.4/10. Tighten the weakest checks to improve public safety evidence.
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 PraisonAI View Agent Frameworks Report missing data
88.5
Activity sub-score · out of 100
#29
In Agent Frameworks

How to read this: HVTrust (0–100) weighs supply-chain signals (provenance, OSSF Scorecard, signed commits, open license) alongside real-world adoption. Grade B reflects the trust score band: A ≥ 80, B ≥ 65, C ≥ 50, D < 50. Evidence coverage B is separate — it grades how many independent signal types back the score (3 of 5), so a high score on thin evidence stays visible. Full methodology →

Signals refreshed 2026-10-09 16:07 UTC · Repo last pushed today

Rank Trend

2026-09-29 2026-10-09

Activity & Reach

Stars
9.2k
Forks
1.5k
Last Push
2026-10-09
today
Commits (4 wk)
1111
Downloads (7d)
5,134
pypi
HN mentions (30d)
—
Open Issues
82
Rank Change
▼11
was #398

Analysis

Activity Inputs

88.5 / 100
StarsRepository reach
23.8 / 30
FreshnessLast push recency
25.0 / 25
ActivityRecent commits
25 / 25
CommunityFork signal
14.7 / 20

Common questions about PraisonAI

PraisonAI has a mixed signal profile. Some trust indicators are present, others are missing. Whether it is safe for your use case depends on which gaps matter to you — review the breakdown below before adopting in production.
Does PraisonAI publish package provenance?
No published build provenance is currently detected for PraisonAI. This is common for open-source projects but means consumers cannot independently verify that the package on the registry matches the GitHub source.
Does PraisonAI have an OpenSSF Scorecard?
PraisonAI has an OpenSSF Scorecard score of 5.4/10. The Scorecard checks for branch protection, signed releases, dependency updates, fuzzing, code review, and other supply-chain hygiene items. See the full check breakdown on this page.
Is PraisonAI actively maintained?
Actively maintained. The repository was pushed to within the last 1 day(s).
What license does PraisonAI use?
PraisonAI ships under MIT. A declared, OSI-approved license is one of the transparency signals HVTrust scores.
Are PraisonAI's commits signed?
39% of the last 100 commits to PraisonAI 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
PraisonAI appears to expose MCP server capabilities.
Detailed evidence is not shown in the public view.
External Service Dependencies
high confidence
9 detected
Public provider/service dependencies detected.
Credential signal: API keys or service config markers documented.
Tool / Plugin Surface
high confidence
Declared
Declared plugin/integration surface detected.
  • browser
  • database
  • search
Detailed evidence is not shown in the public view.
Package Provenance Drift
high confidence
Match
Published package metadata matches the tracked repo
Detailed evidence is not shown in the public view.
  • MCP signal live
  • External deps live
  • Tool / plugin surface live
  • Package provenance drift live
How this surface has changed

Detected changes to PraisonAI's runtime surface and supply-chain posture, from daily public-signal snapshots. A change here means our detectors see something different — a genuinely changed capability, or better evidence of an existing one.

2026-09-03
Provider Added
Runtime surface grew — new detected provider dependency: E2B

Maintain PraisonAI?

For maintainers

HVTrust scores PraisonAI 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
Rank 25Surface 1
2026-10-09
Rank Moved
Rank dropped 11 spots (#398 → #409)
2026-10-08
Rank Moved
Rank dropped 38 spots (#360 → #398)
2026-10-04
Rank Moved
Rank rose 21 spots (#391 → #370)
2026-10-02
Rank Moved
Rank rose 15 spots (#413 → #398)
2026-09-30
Rank Moved
Rank dropped 44 spots (#366 → #410)
2026-09-23
Rank Moved
Rank dropped 218 spots (#142 → #360)
2026-09-21
Rank Moved
Rank rose 235 spots (#380 → #145)
2026-09-17
Rank Moved
Rank rose 11 spots (#386 → #375)
2026-09-16
Rank Moved
Rank rose 10 spots (#396 → #386)
2026-09-12
Rank Moved
Rank dropped 20 spots (#378 → #398)
2026-09-11
Rank Moved
Rank dropped 12 spots (#366 → #378)
2026-09-10
Rank Moved
Rank dropped 25 spots (#341 → #366)
2026-09-07
Rank Moved
Rank dropped 20 spots (#326 → #346)
2026-09-06
Rank Moved
Rank dropped 18 spots (#308 → #326)
2026-09-05
Rank Moved
Rank dropped 76 spots (#232 → #308)
2026-09-03
Provider Added
Runtime surface grew — new detected provider dependency: E2B
2026-09-03
Rank Moved
Rank dropped 19 spots (#216 → #235)
2026-08-31
Rank Moved
Rank dropped 24 spots (#188 → #212)
2026-08-26
Rank Moved
Rank dropped 17 spots (#155 → #172)
2026-08-24
Rank Moved
Rank dropped 11 spots (#143 → #154)
2026-08-22
Rank Moved
Rank rose 11 spots (#156 → #145)
2026-08-19
Rank Moved
Rank dropped 10 spots (#145 → #155)
2026-08-17
Rank Moved
Rank rose 11 spots (#153 → #142)
2026-08-10
Rank Moved
Rank dropped 12 spots (#138 → #150)
2026-08-08
Rank Moved
Rank dropped 13 spots (#124 → #137)
2026-07-13
Rank Moved
Rank dropped 15 spots (#95 → #110)
GitHub → Website → PyPI: praisonai

Embed Badge Badge guide for maintainers →

For maintainers
HVTrust 67.9 Grade B
Markdown:
[![HVTrust](https://hvtracker.net/badge/praisonai.svg)](https://hvtracker.net/agents/praisonai)
HTML:
<a href="https://hvtracker.net/agents/praisonai"><img src="https://hvtracker.net/badge/praisonai.svg" alt="HVTrust"></a>

Other agents in Agent Frameworks

Data sources
GitHub REST API (repo, commits, stars, forks, license) · PyPI / pypistats (downloads, provenance) · OpenSSF Scorecard CLI
Each agent's signals refresh once daily across 6 staggered batches. Methodology v4.4 · Raw JSON