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Average Ratings 0 Ratings

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ease
features
design
support

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Write a Review

Description

Fluq serves as an observability and orchestration platform for AI agents, providing teams with comprehensive real-time visibility and control over their operations. It functions as an integrated “single pane of glass” that meticulously tracks and visualizes every action performed by agents, including LLM calls, tool usage, file handling, token expenditure, and related costs through intricate waterfall traces. By utilizing a lightweight proxy to manage all agent requests, Fluq ensures minimal setup requirements and is compatible with any LLM provider or agent framework, facilitating seamless integration into existing systems without the need for code modifications. This platform empowers teams to analyze every decision made by an agent, investigate execution steps, and gain a clear understanding of how outcomes are derived, thereby enhancing transparency and ease of debugging. Furthermore, it incorporates governance capabilities such as policy enforcement, spending limits, approval gates, and access controls, which help mitigate risks like excessive costs, misuse of tools, and generation of incorrect outputs. Through these robust features, Fluq not only improves operational oversight but also fosters trust in AI systems by ensuring responsible usage and accountability.

Description

Preloop serves as an open-source control plane designed for AI agents that perform tangible actions. It integrates a multi-layered security approach featuring an MCP firewall for managing tool access, an AI model gateway that ensures cost-effectiveness, safety, and accountability, along with policy-as-code that incorporates human oversight, all while providing runtime session visibility and audit trails—all within a self-hosted environment. Given the rapid capabilities of AI agents to deploy code, modify infrastructure, manage financial transactions, access production data, and incur model costs almost instantaneously, Preloop empowers teams to regulate agent activities, monitor expenditures, and determine which actions necessitate human consent. It is compatible with a variety of tools such as OpenClaw, Hermes, Claude Code, Codex CLI, Cursor, Gemini CLI, Windsurf, Cline, OpenCode, and any agents that adhere to MCP standards. Additionally, access rules can evaluate not only the tool names but also arguments and context, utilizing CEL expressions to establish detailed conditions. Furthermore, teams have the flexibility to initiate with observability features and progressively introduce approval and denial protocols without the need for SDKs or extensive modifications to existing applications, thus streamlining the implementation process. This comprehensive approach ensures that organizations remain in control of their AI agents' functionalities and impacts.

API Access

Has API Yes 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

Claude Code Yes 
Codex CLI Yes 
Amazon Bedrock No 
Anthropic Yes 
Claude Yes 
Cline No 
CrewAI Yes 
Cursor No 
Gemini CLI No 
Google Cloud Platform Yes 
Hermes No 
LangChain Yes 
Mattermost No 
Model Context Protocol (MCP) No 
OpenAI Yes 
OpenClaw No 
OpenCode No 
Slack No 
Windsurf Browser No 
YAML No 

Integrations

Claude Code Yes 
Codex CLI Yes 
Amazon Bedrock Yes 
Anthropic No 
Claude No 
Cline Yes 
CrewAI No 
Cursor Yes 
Gemini CLI Yes 
Google Cloud Platform No 
Hermes Yes 
LangChain No 
Mattermost Yes 
Model Context Protocol (MCP) Yes 
OpenAI No 
OpenClaw Yes 
OpenCode Yes 
Slack Yes 
Windsurf Browser Yes 
YAML Yes 

Pricing Details

$29 per month
Free Trial No 
Free Version Yes 

Pricing Details

$290 per month
Free Trial Yes 
Free Version Yes 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises Yes 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) Yes 
In Person No 

Vendor Details

Company Name

Fluq

Country

United States

Website

fluq.ai/

Vendor Details

Company Name

Preloop

Country

United States

Website

preloop.ai/

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