AI Tool

Jalebi Review

Jalebi is a private, self-hosted web application that facilitates context-aware chat session passing across various coding agent CLIs and models without requiring cloud services.

shipped Sep 15, 2026agentsfree

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agents

Why it matters

1Jalebi operates as a 100% free, open-source platform.

2It supports unlimited users, reports, and integrations.

3The platform is self-hosted and does not require cloud services for operation.

4Jalebi provides advanced inventory management for up to 50 items in its restaurant management variant.

About Jalebi

Business Model

Open Source

Platforms

Web

Target Audience

Software developers looking for a self-hosted, coding workflow solution.

Pricing Plans

Free

100% Free · Unlimited

• Localhost-only
• Unlimited tasks
• No cloud egress

GitHubOpen Source

Specs

API Docs

View Documentation →

GitHub

View Repository →

API Available

Yes, public API

Screenshots

overview

What is Jalebi?

Jalebi is a private, self-hosted web application developed by Samosa AI that enables software developers to seamlessly pass chat sessions across various coding agent CLIs and different models while maintaining context, without requiring any cloud services. It functions similarly to Google Jules, providing a local-first dashboard for coding agents with a focus on cost governance, data sovereignty, and scalability built on Amazon Bedrock AgentCore. Additionally, 'Jalebi' also refers to an AI-powered SaaS platform designed to optimize inventory and supply chain management for small and medium-sized enterprise (SME/SMB) restaurants, aiming to reduce unoptimized inventory costs and boost profit margins.

features

Key Features of Jalebi

Jalebi offers a suite of features designed to enhance AI agent management and, in its restaurant variant, optimize inventory and supply chain operations. The platform prioritizes local control and cost efficiency.

CLI-backend independent operation for coding agents.
Supports multiple coding agents with isolated git worktrees.
Smart cross-agent chat passing with context maintenance.
Proactive security audits for agent interactions.
Self-hosted deployment, eliminating the need for cloud services.
Advanced Inventory Management for up to 50 items, including recipe and batch production (restaurant variant).
Outlet, Menu, and Order Management through a unified dashboard (restaurant variant).
Integration with Point of Sale (POS) systems (restaurant variant).
Cost governance and attribution for AI agent usage.
Management layer, governance, and guardrails for Amazon Bedrock AgentCore.

use cases

Who Should Use Jalebi?

Jalebi is designed for distinct user groups depending on its application, primarily targeting software developers for AI agent management and restaurant businesses for operational optimization.

Software Developers: Individuals and teams seeking a self-hosted, local-first solution for managing AI coding agent workflows, ensuring context persistence across sessions.
Businesses Deploying AI Agents: Organizations requiring cost governance, data sovereignty, and scalable deployment of AI agents in production environments, especially those utilizing Amazon Bedrock AgentCore.
Teams Without Dedicated AI Infrastructure: Businesses that need to run AI agents responsibly at scale without the overhead of a specialized AI infrastructure team.
Restaurant Owners and Managers: Small and medium-sized enterprise (SME/SMB) restaurants aiming to optimize inventory, reduce food waste, prevent financial loss, and boost profit margins by over 20%.
Finance and Compliance Teams: Departments responsible for managing AI spend and ensuring compliance for AI deployments within an organization.

how to use

How to Use Jalebi

To utilize Jalebi for AI agent management, users typically begin by accessing its open-source repository for self-hosting. For the restaurant management platform, businesses subscribe to its beta platform for early adopter access.

1For AI Agent Management: Access the Jalebi GitHub repository at https://github.com/samosa-ai-com/Jalebi.
2Clone the repository to a local environment for self-hosted deployment.
3Configure the web application to integrate with desired coding agent CLIs.
4Initiate chat sessions with coding agents, leveraging Jalebi's context-passing capabilities.
5For Restaurant Management: Subscribe to the Jalebi beta platform via its official website.
6Onboard the restaurant's inventory, menu, and operational data into the unified dashboard.
7Utilize the platform's features for inventory tracking, cost optimization, and waste reduction.

pricing

Jalebi Pricing & Plans

Jalebi, in its AI agent management form, is offered as a 100% free, open-source solution. The restaurant management platform provides an 'Early Adopter Pricing' model, encouraging co-creation of the product with transparent, all-inclusive plans.

Free Tier (AI Agent Management): 100% Free, includes unlimited users, reports, and integrations, with self-hosted deployment.
Early Adopter Pricing (Restaurant Management): Simple, Fair, And Transparent pricing with no add-ons or hidden fees. Includes unlimited users, reports, and integrations, outlet management, advanced inventory management (for 50 items), and menu management.

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Pros

+100% free and open-source for AI agent management.
+Self-hosted deployment ensures data sovereignty and eliminates cloud service dependency.
+Maintains context across diverse coding agent CLIs and models.
+Provides cost governance and attribution for AI agent usage.
+Restaurant variant significantly reduces food waste and boosts profit margins by over 20%.
+Offers a unified dashboard for streamlined restaurant operations and inventory management.

Cons

−Requires self-hosting and technical setup for the AI agent management version.
−Limited to 50 items for advanced inventory management in the restaurant variant.
−Specific product feature updates for the restaurant AI tool are not always explicitly detailed.
−The existence of multiple tools named 'Jalebi' can lead to confusion regarding features and reviews.
−The AI agent management version does not currently offer a public API.