Vector Retrieval and RAG · Public

inspeximus

Vector retrieval project for checking embedding storage, query semantics, RAG integration, data boundaries, and rollback.

Vector databaseRAGEmbeddingsSemantic searchData boundaries

Best fitDevelopers connecting knowledge bases, documents, or app data to semantic retrieval or RAG workflows.

Check whether this project matches your task before installing it.

What it can doVector database setup checks, embedding model boundaries, collection management, query acceptance, and deletion guidance

Review the portable capability path.

Before continuingVerify in a sandbox

Do not treat a preview pack as a proven local install.

GitHub snapshot4 stars

0 forks · 2 contributors

Doramagic.ai Last verification date: 2026-07-25 Verification method: source evidence, semantic profile, public page gate, and static build acceptance.

Official first step Read manual preview Source repository

Publication status · 2026-07-25

What is inspeximus?

inspeximus is a vector database, retrieval, or RAG storage component for AI applications.
Best fit: Developers connecting knowledge bases, documents, or app data to semantic retrieval or RAG workflows.
Not for: Not for one-off model API calls or environments that cannot isolate indexed data, credentials, and persistence paths.
Capability added to an AI workflow: Vector database setup checks, embedding model boundaries, collection management, query acceptance, and deletion guidance
First safe verification step: Verify create, query, delete, and rollback with a small public text sample before using real data.
Verification state: source, Quick Start, and sandbox install checks are recorded as passed.
Top risk: May increase setup, validation, or first-run risk for the user.
Evidence base: https://github.com/DanceNitra/inspeximus, https://github.com/DanceNitra/inspeximus#readme, Human Manual, Pitfall Log

Quick decision

Use this section to decide whether the project is worth a deeper read.

Best forDevelopers connecting knowledge bases, documents, or app data to semantic retrieval or RAG workflows.

Match the project to your task before installing it.

CapabilityVector database setup checks, embedding model boundaries, collection management, query acceptance, and deletion guidance

Vector retrieval project for checking embedding storage, query semantics, RAG integration, data boundaries, and rollback.

RepositoryDanceNitra/inspeximus

4 stars · 0 forks

What it can do

Translate the upstream project into concrete capabilities the user can judge before installing.

Introduction, Design Philosophy & Competitive Position

Related topics: Core API & The Four Memory Operations, Governance, Verifiable Erasure & EU AI Act Compliance

Source: https://github.com/DanceNitra/inspeximus / Human Manual

Core API & The Four Memory Operations

Related topics: Introduction, Design Philosophy & Competitive Position, Governance, Verifiable Erasure & EU AI Act Compliance, Integrations, MCP Server, CLI & Framework Adapters

Source: https://github.com/DanceNitra/inspeximus / Human Manual

Governance, Verifiable Erasure & EU AI Act Compliance

Related topics: Introduction, Design Philosophy & Competitive Position, Core API & The Four Memory Operations, Integrations, MCP Server, CLI & Framework Adapters

Source: https://github.com/DanceNitra/inspeximus / Human Manual

Integrations, MCP Server, CLI & Framework Adapters

Related topics: Core API & The Four Memory Operations, Governance, Verifiable Erasure & EU AI Act Compliance

Source: https://github.com/DanceNitra/inspeximus / Human Manual

Doramagic Pitfall Log

Source-linked risks stay visible on the manual page so the preview does not read like a recommendation.

Source: Doramagic discovery, validation, and Project Pack records

Sources: https://github.com/DanceNitra/inspeximus, Human Manual, Project Pack evidence, and downstream validation signals.

Community Discussion Evidence

Project-level external discussion stays visible on the detail page, not only inside the manual.

Stars4 stars

Forks0 forks

Contributors2 contributors

Licenseunknown

Community Discussion Evidence

9 source-linked items

Review these external discussions before using inspeximus with real data or production workflows. They are review inputs, not standalone proof that the project is production-ready.

01
Integrity benchmark local-only command requires missing server/.env and
github / github_issue
02
mnemo 1.5.0 — provable forget + bitemporal audit
github / github_release
03
mnemo 1.4.0 — soft-delete residual probes (+ 1.3.0 clean memory)
github / github_release
04
mnemo 1.2.0 — universal-executor gate
github / github_release
05
mnemo 1.1.0 — security hardening
github / github_release
06
mnemo 1.0.0 — first stable release
github / github_release
07
mnemo 0.7.22
github / github_release
08
mnemo 0.7.20
github / github_release
09
Configuration risk requires verification
GitHub / issue

How to start

Only source-backed commands are shown here. Verify them in an isolated environment first.

Try the prompt first

Test the workflow without installing the upstream project.

preview

Read the Human Manual

Understand inputs, outputs, limits, and failure modes.

manual

Take context to your AI host

Use the compiled assets in your preferred AI environment.

context

Run sandbox verification

Confirm install commands and rollback before using a primary environment.

verify

pip install inspeximus

Official start command · https://github.com/DanceNitra/inspeximus#readme · verified: yes

Human Manual

The English page must expose the real manual, not a short placeholder.

8+ sections · Human Manual

inspeximus Manual

Zero-dependency agent memory + MCP server. Value-ranked recall, consolidation, and a first-class correction & erasure channel (revert, lineage-aware retraction, tamper-evident receipts). Measured integrity vs mem0/Graphiti.

Open the full manual

https://github.com/DanceNitra/inspeximus Project Manual
Table of Contents
Introduction, Design Philosophy & Competitive Position
Related Pages
Purpose and Scope
Design Philosophy
Architecture at a Glance
Competitive Position

Introduction, Design Philosophy & Competitive Position

Related topics: Core API & The Four Memory Operations, Governance, Verifiable Erasure & EU AI Act Compliance

Source: https://github.com/DanceNitra/inspeximus / Human Manual

Core API & The Four Memory Operations

Related topics: Introduction, Design Philosophy & Competitive Position, Governance, Verifiable Erasure & EU AI Act Compliance, Integrations, MCP Server, CLI & Framework Adapters

Source: https://github.com/DanceNitra/inspeximus / Human Manual

Governance, Verifiable Erasure & EU AI Act Compliance

Related topics: Introduction, Design Philosophy & Competitive Position, Core API & The Four Memory Operations, Integrations, MCP Server, CLI & Framework Adapters

Source: https://github.com/DanceNitra/inspeximus / Human Manual

Integrations, MCP Server, CLI & Framework Adapters

Related topics: Core API & The Four Memory Operations, Governance, Verifiable Erasure & EU AI Act Compliance

Source: https://github.com/DanceNitra/inspeximus / Human Manual

Doramagic Pitfall Log

Source-linked risks stay visible on the manual page so the preview does not read like a recommendation.

Source: Doramagic discovery, validation, and Project Pack records

AI Context Pack and portable assets

After deciding to continue, take the project context into your own AI host.

Complete pack plus user-owned assets

These files are planning and verification assets for Claude Code, Codex, Gemini, Cursor, ChatGPT, and other AI hosts.

Download complete pack Read Human Manual

BundleComplete Project Pack AssetAI Context Pack AssetBoundary & Risk Card AssetHuman Manual AssetPitfall Log AssetPrompt Preview AssetQuick Start EvidenceREPO_INSPECTION.json

Preflight checks

Treat this page as a planning asset, not proof that your local environment is ready.

The manual is generated from source-linked project files and Doramagic validation signals.
Community evidence warnings stay visible instead of being converted into marketing claims.
This English page is indexable because the locale quality gate passed and explicit English index approval is enabled.
Use the upstream repository as the final authority for installation commands, license, and version-specific behavior.

Pitfall Log and verification risks

Doramagic surfaces high-risk items before users treat a candidate capability as verified.

medium

Configuration risk requires verification

May increase setup, validation, or first-run risk for the user.

medium

Capability evidence risk requires verification

May increase setup, validation, or first-run risk for the user.

medium

Maintenance risk requires verification

May increase setup, validation, or first-run risk for the user.

medium

Security or permission risk requires verification

May increase setup, validation, or first-run risk for the user.

medium

Security or permission risk requires verification

May increase setup, validation, or first-run risk for the user.

medium

Security or permission risk requires verification

May increase setup, validation, or first-run risk for the user.

low

Maintenance risk requires verification

May increase setup, validation, or first-run risk for the user.

low

Maintenance risk requires verification

May increase setup, validation, or first-run risk for the user.