# Uteke

> Give your AI agents a local first semantic memory engine

- Canonical URL: https://www.fosshunter.com/tools/uteke
- JSON export: https://www.fosshunter.com/tools/uteke.json
- Website: https://github.com/codecoradev/uteke
- Category: Agentic Development
- Open source: yes
- Self-hostable: yes
- Verified listing: no
- Featured: no
- Published at: 2026-08-10T08:11:32+00:00
- Catalog revision: `19172552`

## Repository metrics (point-in-time)

- Repository: https://github.com/codecoradev/uteke
- Stars: 285
- Forks: 31
- Open issues: 3
- License: Apache-2.0
- Last push: 2026-11-04T07:27:27+00:00
- Metrics observed at (synced_at): 2026-11-05T04:27:12+00:00
- Archived: no

Tags: LLM, AI, MCP Server, MCP Client, ai agents, Local First, CLI Tool, Agentic Development, Agentic, Vector Database, Semantic Search
Tech stacks: docker, rust, sqlite, typescript

## Features
- Stores and recalls AI memories using semantic embeddings for high accuracy. *(highlighted)*
- Operates as a single offline binary with zero configuration required. *(highlighted)*
- Supports the Model Context Protocol for seamless AI agent integration. *(highlighted)*

## Description

Uteke is a local first memory engine for AI agents that enables semantic storage and recall. It runs as a single Rust binary, providing zero configuration and fully offline capabilities using semantic embeddings.

---
Source: [FOSSHunter — Uteke](https://www.fosshunter.com/tools/uteke) — cite `synced_at` and the catalog revision when quoting metrics.
Interpretation rules: https://www.fosshunter.com/llms-full.txt