AgentIndex icon
AgentIndex
agentlens logo
agentlens
★ 24
vs
janee logo
janee
★ 30

agentlens vs janee

agentlens: AgentLens is an open-source observability tool designed for AI agents, capturing every LLM call, tool invocation, and decision. It stands out with a tamper-evident audit trail, cryptographically verifying events to ensure compliance and data integrity.; janee: Janee is an MCP server designed to manage API secrets for AI agents, preventing them from directly accessing sensitive keys. It enforces policies, logs all requests, and provides fine-grained access control to ensure secure and auditable API interactions for autonomous agents.

01

TL;DR

agentlens logo
agentlensObservability · ★ 24

Monitoring and debugging AI agent runs in real-time.

Read agentlens full review →
janee logo
janeeObservability · ★ 30

Securely provide API access to AI agents without exposing raw keys, enhancing security and preventing misuse.

Read janee full review →
02

Side-by-Side Comparison

Field
agentlens logoagentlens
janee logojanee
Category
Observability
Observability
Stars
★ 24
★ 30
License
MIT
MIT
Install Command
docker run -p 3400:3400 -e AUTH_DISABLED=true -e JWT_SECRET=dev-secret ghcr.io/agentkitai/agentlens
npm install -g @true-and-useful/janee
Updated
5d ago
7mo ago
Open Source
Yes
Yes
Website
↗ Visit
↗ Visit
GitHub
↗ GitHub
↗ GitHub
Tags
Observability, AI Agents, Audit Trail
Secrets Management, AI Agents, API Security
03

Features

agentlens logoagentlens
01Python Auto-Instrumentation for 9 LLM providers
02Tamper-Evident Audit Trail with SHA-256 hash chains
03Real-Time Web Dashboard for monitoring and analytics
04LLM Call Tracking, cost aggregation, and latency measurement
05Cost Optimization with model recommendation engine
06Session Replay to step-through past agent runs
janee logojanee
01Zero-knowledge agents: Agents call APIs without ever seeing the keys.
02Full audit trail: Every request is logged with timestamp, method, path, and status.
03Configurable request policies: Allow/deny rules per capability for fine-grained control.
04Local-first key encryption: Keys are encrypted on your machine and never sent to a cloud.
05Exec mode for CLI tools: Run CLI commands with injected credentials without exposing keys to agents.
04

Use Cases

agentlens logoagentlens
↳Monitoring and debugging AI agent runs in real-time.
↳Ensuring compliance with regulations like EU AI Act Article 12 through verifiable audit logs.
↳Tracking and optimizing LLM costs and performance across agents and models.
↳A/B testing and benchmarking different agent variants for improved performance.
↳Analyzing past agent sessions with full context reconstruction for understanding behavior.
janee logojanee
↳Securely provide API access to AI agents without exposing raw keys, enhancing security and preventing misuse.
↳Centralize and streamline API key management across multiple AI tools and platforms, simplifying configuration.
↳Implement granular access control and request policies for agent API interactions, ensuring compliance and control.
↳Audit and log all API requests made by AI agents for security monitoring, debugging, and accountability.
FAQ

FAQ

What is the difference between agentlens and janee?
Both agentlens and janee are in the Observability category. agentlens has 24 stars, while janee has 30 stars.
Which is better, agentlens or janee?
The best choice depends on your use case. Choose agentlens if Monitoring and debugging AI agent runs in real-time., and janee if Securely provide API access to AI agents without exposing raw keys, enhancing security and preventing misuse..
Is agentlens free or open source?
Yes, agentlens is open source on GitHub (MIT).
Is janee free or open source?
Yes, janee is open source on GitHub (MIT).
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Alternatives to agentlens →Alternatives to janee →agentlens details →janee details →