@agentic-os-org/ANOLISA

ANOLISA (Agentic Nexus Operating Layer & Interface System Architecture) | Agentic OS with runtime, security, observability, and Tokenless response compression for lower token usage and cost.

Ecosystem appAI ModelsKnowledgeDeveloperDesktopAgent orchestrationMemory

Verification

L5 · Ecosystem app

Risk

LowRisk

Health

Active

Trust

Silver

Install verification: Ecosystem app: not installed via dsh plugin add, so the L1-L5 plugin install-verification ladder does not apply; the security scan still runs.Install verification details →

What it doesAI

ANOLISA is an agentic OS layer providing agent runtime, security, observability, and Tokenless response compression to cut token usage and cost.

Agentic OS layer with runtime for agent workloads
Built-in security and observability for agent operations
Tokenless response compression cuts token usage and cost

aiAIagent-orchestrationAImemoryAI

Capability tags are AI-inferred or rule-extracted from the README (see badge) — vocabulary-limited, not install-verified. AI = inferred; README = literal keyword from the readme.

Installation

GitHub repository

Ecosystem apps are not installable via dsh plugin add: desktop / web shells install or deploy through their own release channel (GitHub Releases or the project site).

The level reads L5 · Ecosystem plugin / L5 · Ecosystem app per the three-way classification (the L1-L5 ladder does not rate them); the security scan still runs.

Verification & Compatibility◼ Ecosystem app

Grouped by plugin version: each card lists the dsh versions actually tested against that artifact version and their install verdicts (L5 wins). Untested combinations are omitted — absence means untested, never assumed compatible. L1–L3 are a plugin-level static archive (independent of the dsh version — the same verdict on every dsh row): they sit in each row's level grid next to L4/L5, marked "static", while their evidence is stored once per plugin inside that row's "checks & evidence" instead of being duplicated per version.

External credentials (plugin-level): none detected

Install compatibility matrix (rows = plugin versions〔latest 5〕, columns = dsh versions〔latest 5〕)

◼ Ecosystem app

At-a-glance → evidence in the cards below

plugin ＼ dsh	dsh 0.2.1-alpha.2
tokenless/v0.8.6	·
sight/v0.14.1	·
sight/v0.14.0	·
01725d	◼

Install compatibility (by plugin version, dsh versions within)

Legend:✓ L5 runtime verified○ ecosystem plugin◼ ecosystem app✗ failed

tokenless/v0.8.6github2026-10-15

https://github.com/agentic-os-org/ANOLISA

Ecosystem app: not installed via dsh plugin add (a desktop / web shell) — its level reads L5 · Ecosystem app.

sight/v0.14.1github2026-10-18

https://github.com/agentic-os-org/ANOLISA

Ecosystem app: not installed via dsh plugin add (a desktop / web shell) — its level reads L5 · Ecosystem app.

sight/v0.14.0github2026-10-14

https://github.com/agentic-os-org/ANOLISA

Ecosystem app: not installed via dsh plugin add (a desktop / web shell) — its level reads L5 · Ecosystem app.

01725dgithub◼ 1 ecosystem app2026-10-21

https://github.com/agentic-os-org/ANOLISA

◼dsh 0.2.1-alpha.22026-10-14Ecosystem app

Environment & artifact

• Node.js: v24.14.0
• DSH: 0.2.1-alpha.2
• Plugin artifact: github · https://github.com/agentic-os-org/ANOLISA (version unstated)

Levels (L1–L3 plugin-level static archive · L4/L5 newest real verdicts for this combination)

L1 static

Passed

L2 static

Passed

L3 static

Passed

L4 sandbox

Unknown

L5 runtime

Not tested

Ecosystem app: not installed via `dsh plugin add` (desktop / web shell) and no install verdict was produced — it ships through its own release channel and the L1-L5 ladder does not rate it (shown as L5 · ecosystem app)

Ecosystem app

ID: anolisa-2@01725d@dsh0.2.1-alpha.2 · profile: l4-sandbox

Issued: 2026-10-14 · expires: 2026-10-21

View checks & evidence

L1 · Found✓ Passed

↳ carried from earlier record anolisa-2@sight_v0.14.1@dsh0.2.1-rc.2 (l3-fullscan)

Defaulted from L3L1.0_DEFAULTED_FROM_L3✓ Passed

defaulted to passed — L3 install spec passed (full-registry L3 sweep policy)

L2 · Structured✓ Passed

↳ carried from earlier record anolisa-2@sight_v0.14.1@dsh0.2.1-rc.2 (l3-fullscan)

Defaulted from L3L2.0_DEFAULTED_FROM_L3✓ Passed

defaulted to passed — L3 install spec passed (full-registry L3 sweep policy)

L3 · Install spec✓ Passed

↳ carried from earlier record anolisa-2@sight_v0.14.1@dsh0.2.1-rc.2 (l3-fullscan)

Install command parsedL3.1_INSTALL_COMMAND_PARSED✓ Passed

Source: registry verification · Method: install spec parse · Captured 2026-10-18

DSH version declaredL3.2_DSH_VERSION_DECLARED✓ Passed

Source: registry verification · Method: DSH version declaration · Captured 2026-10-18

L4 · Install tested? Unknown

Sandbox install verdictL4_0_SANDBOX? Unknown

Source: Windows ACL sandbox · Method: sandbox install run · Captured 2026-10-14

spec github:agentic-os-org/ANOLISA · channel GitHub source · outcome unknown

L5 · Run tested– Not tested

This level was not executed in this scan.

L1–L3 are plugin-level static conclusions (baseline, identical across dsh versions): evidence is stored once per plugin.

Author badges

Embed the official badges in your README to showcase security & install-test status:

Security Report

Two automated layers, neither a manual review: a static scan (per-plugin rule checks) and a model-driven dynamic security audit that covers only the subset static-flagged at warn or above and never executes plugin code.

anolisa-2Automated review · daily

Static low, dynamic no conclusion — stricter wins → overall low.

static low→dynamic no conclusion→overall low

0 critical·0 high

lowoverall · low

1static scan · vet primaryvet AST static analysis (npm artifact or git source)

Version binding

plugin version—

scanned versionsight/v0.14.1git2026-10-21

current versiontokenless/v0.8.8version moved on

vet verdictclean · git

Vet is an AST static scan (npm artifact or git source).

2dynamic auditmodel reads redacted source context · never executes plugin code

not in the dynamic queue (queue only covers plugins static-flagged at warn or above) — this does not mean the dynamic audit found it safe.

Rule: the dynamic audit can only raise risk, never lower it (raise-only, never an exemption); a wrong raise is withdrawn by human review and the tier falls back to the static verdict. Overall verdict = the stricter of the two layers.

Disclaimer: the static scan and the dynamic security audit are both automated analysis, not a security guarantee. Always review what you install.

Activity

Last commit 2026-10-21 · activity: Active

• Repo created: 2026-03-30

• Stars: ★ 633 · Forks: 159

• Health: Active — committed within last 30 days

Source

GitHub: github.com/agentic-os-org/ANOLISA

Plugin notes

What is @agentic-os-org/ANOLISA?

@agentic-os-org/ANOLISA is an ecosystem app maintained by @agentic-os-org, not a DSH plugin package — it cannot be installed via dsh plugin add; desktop / web shells ship through the project's own release channel. It is cataloged on dsh.so as a AI Models entry, with a public source repository and automated static security scan.

How do I install @agentic-os-org/ANOLISA?

This is an ecosystem app, not a plugin installable via dsh plugin add: desktop / web shells install or deploy through their own release channel. Its level reads L5 · Ecosystem app; the security scan still runs.

How does the security scan relate to a manual audit?

Both layers are automated, not a manual audit: the static scan is heuristic analysis of the repository source (it can produce false positives and miss context), and the dynamic security audit has a model read the harvested source context with secret files stripped and content redacted inline — plugin code is never executed. The dynamic audit only covers plugins static-flagged at warn or above, and its conclusion can only raise the combined verdict, never exempt it. Neither layer is a manual security audit or an endorsement; before using a plugin, review the repository and installed permissions, and combine both with the verification level (L4/L5) and health signals.

"DeepSeek Harness (dsh) is an open-source agent harness developed by DeepSeek AI. It uses an architecture where everything is a plugin, and is powered by Cordis."
— DeepSeek Harness README

Sources: GitHub repository · DeepSeek Harness README · security scan data · Maintained by dsh.so · Last updated 2026-10-21

@agentic-os-org/ANOLISA

What it doesAI

Installation

Verification & Compatibility◼ Ecosystem app

Author badges

Security Report

Activity

Source

Author README