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  1. Home
  2. 🧠 Knowledge & Memory
  3. Iranti
Iranti logo
Health: ActiveRecent health check succeeded.Last checked 9/9/2026, 7:49:40 PM

Iranti

User RatingsBe the first to rate and review this MCP server!
View Repository5 GitHub StarsTotal stargazers on GitHub for the source repository (5 stars).
memorydeveloper-toolssemantic-searchcoding-agents

Shared persistent memory for AI coding agents using searchable entity, key, and value triples.

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent — or use 1-click editor setup below.

One-click editor setup isn’t available for this listing yet — we don’t have a confirmed install command, and we’d rather show nothing than point your editor at the wrong package or host. Follow the project’s own setup instructions, linked above.

Manual Client & Custom JSON ConfigExpand JSON â–¾
No confirmed setup config for this listing yet. We only publish a config block when the install details come from the project itself — its README, its docs, or a verified owner. We haven’t found those for nfemmanuel/iranti, and we’d rather show nothing than a guess you’d paste into your client. Follow the project’s own setup instructions for the current steps.
Install Directory Badge Claim listing Alternatives🧠 More in Knowledge & Memory

Overview

Iranti stores facts as entity/key/value triples for reuse across AI coding agents. It combines semantic search with task checkpoints and conflict resolution, making it suitable for maintaining shared project context across supported coding workflows.

Use cases

•Store project facts for reuse across coding sessions
•Search shared memory with semantic queries
•Record task checkpoints during development
•Resolve conflicting facts in persistent agent memory

Key features

•Persistent shared memory
•Entity/key/value fact storage
•Hybrid semantic search
•Task checkpoints
•Conflict resolution
•Support for Claude Code, Codex CLI, and GitHub Copilot

Capabilities & Tool Schemas

Inspect callable tools, capabilities, and parameters exposed to AI agents by Iranti.

Extracted Tool Capabilities
Persistent shared memory
Entity/key/value fact storage
Hybrid semantic search
Task checkpoints
Conflict resolution
Support for Claude Code, Codex CLI, and GitHub Copilot

Documentation Overview

Iranti is a 🧠 Knowledge & Memory MCP server from nfemmanuel listed on AllMCPs. Persistent shared memory for AI coding agents. Stores facts as entity/key/value triples with hybrid semantic search, task checkpoints, and conflict resolution — shared across Claude Code, Codex CLI, and GitHub Copilot.

Read the full README →View source on GitHub →

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Adoption & maintenance

Factual signals from GitHub, npm, and our automated checks — not a rating.

GitHub stars
5
Stargazers on the source repository.
Last commit
2mo ago
Most recent push to the default branch.
Directory activity
1 views
Config copies, upvotes, and views on AllMCPs.

Reviews

No reviews yet — be the first to share how this listing worked for you.

Frequently Asked Questions about Iranti

It stores facts as entity/key/value triples.

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Technical Specs & Signals

Category🧠Knowledge & Memory
PricingFree
More technical detailsExpand â–¾
AuthNo auth required
Last updatedAug 10, 2026
Views1
Unique ViewsTotal visits recorded for this listing page on AllMCPs.
Installs0
Installs & Copy ActionsTotal times users copied install commands or configuration snippets for this server.
GitHub stars5
GitHub Star CountTotal stargazers on GitHub representing community popularity (5 stars).
Last commit2mo ago
Last Repository CommitThe most recent commit or push recorded for this server's GitHub repository.Last commit on Jul 6, 2026
44Quality signal: Fair · 44/100How this signal is calculated ▾
Server availabilityNot measured

Not scored for repo-hosted servers — we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership10/20
Documentation & tools19/30
Adoption & activity4/15
Community engagement0/10

A guidance signal from public completeness & health data — not a user rating. New listings start lower and rise as they add docs, get verified, and grow adoption. Signals we can't observe for a listing are skipped, not counted against it.

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More in 🧠 Knowledge & Memory →Best MCP servers for Memory & Knowledge →Alternatives to Iranti →Install in Claude DesktopInstall in CursorInstall in VS Code