agenta

Skill · GitHub · ★ 4.8k · graded 2026-10-21Source linked

Agenta is a workspace where you and your team build agents and automations.

No outside reports on file

Agenta stores credentials and potentially sensitive logs in a shared workspace, so secure credential management, access controls, and careful monitoring of agent behavior changes are essential.

Based on public adoption and transparency signals as of Oct 21, 2026. Our opinion, not a code audit or security guarantee.

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What it can access

  • Local filesNo local folder access notedLOW
  • Command executionNo shell command runner notedLOW
  • Network reachConnects to outside service APINOTED
  • CredentialsRequires API key or tokenREVIEW
  • Package sourceGitHub (Agenta-AI/agenta)PUBLIC

Inferred from this listing’s public package details and description. Check the project’s source before installing.

Install

No npm or PyPI package is listed. Install from source: github.com/Agenta-AI/agenta ↗

All setup options ↓

About Agenta

Agenta is a platform for building, testing, and managing AI agents and automation workflows. It provides a workspace where teams can develop custom agents, experiment with different models and prompts, and deploy them at scale.

Who it’s for

Software development teams and organizations building AI-powered applications who want a collaborative environment to design and iterate on agents. It's useful for teams that need to prototype and manage multiple agents across their organization.

Alternatives

  • LangChain: Open-source framework for building applications with language models
  • LlamaIndex: Tool for indexing and querying data with AI agents
  • AutoGen: Microsoft's framework for multi-agent conversations and automation

Setup

Check these steps against the project’s own instructions before running anything.

Follow the project's README. The GitHub repository contains installation instructions and documentation. Most setups involve cloning the repository and following environment setup steps outlined in the project's docs.

Why this grade

CC — Moderate risk signals

Signal-based grade (3/7 points): well starred on GitHub, public source code. This reflects adoption and transparency, not a code review.

Popularity and upkeep

40/100
GitHub stars
4.8k
Listing last refreshed
2026-10-22

These are public popularity signals, not a maintenance check. Look at the repository’s commit history and open issues.

Security reports

No reports found for this package in our research (last checked 2026-10-29).

Check a specific version →

Risks to watch for

  • Model API credentials: The platform may store API keys for language models and other services, which could be exposed if the deployment is compromised
  • Prompt injection in agent definitions: Malicious prompts or instructions embedded in agent configurations could manipulate the AI's behavior
  • Data in test/experiment logs: Agent testing and iterations may log sensitive input data or outputs that could be exposed
  • Third-party integrations: Connected tools, APIs, and services could be exploited if credentials are stored insecurely
  • Shared workspace access: Team members with access could modify agents in ways that create unintended behaviors or extract data

How to lower the risk

Least-privilege permissions

  • Grant team members only the access level needed for their role
  • Rotate API keys regularly and use separate keys per environment

Network isolation

  • Run on a private network or behind a firewall when possible
  • Limit outbound connections to only required third-party services

Monitoring

  • Log all agent modifications and access to the workspace
  • Review agent outputs periodically for unexpected behavior or data leakage

Red flags to watch for

  • Unauthorized changes to agent prompts or configurations
  • Unusual API calls or integrations added without approval
  • Logs containing unexpected user data or credentials

Questions

How do I install Agenta?

Agenta does not publish a standalone npm or PyPI package. Clone or follow the setup instructions in its source repository at github.com/Agenta-AI/agenta.

Are there security reports about Agenta?

No reports found for this package in our research (last checked 2026-10-29). Agenta currently holds Grade C (Moderate risk signals) based on public adoption and transparency signals. Key risk areas to watch include model api credentials, prompt injection in agent definitions, data in test/experiment logs.

Is Agenta actively maintained?

Agenta has 4.8k GitHub stars. Our directory data was last refreshed on 2026-10-22. Check recent commit activity, release tags, and open issues at github.com/Agenta-AI/agenta before pinning it in production.

What are alternatives to Agenta?

Notable alternatives to Agenta include LangChain (Open-source framework for building applications with language models), LlamaIndex (Tool for indexing and querying data with AI agents), AutoGen (Microsoft's framework for multi-agent conversations and automation). You can also compare Agenta side by side with other skills in the Related tools section on this page.

README badge and team notes

Maintain or use Agenta? Show its live grade in your GitHub README, docs site, or run a check from the terminal before you install.

AgentArmorHQ Risk Grade C for Agenta

GitHub README Markdown:

markdown
[![AgentArmorHQ Risk Grade for Agenta](https://agentarmorhq.com/api/badge/agenta-ai-agenta)](https://agentarmorhq.com/skills/agenta-ai-agenta)

HTML embed:

html
<a href="https://agentarmorhq.com/skills/agenta-ai-agenta"><img src="https://agentarmorhq.com/api/badge/agenta-ai-agenta" alt="AgentArmorHQ Risk Grade for Agenta" height="20" /></a>

Terminal check:

terminal
curl -fsSL https://agentarmorhq.com/api/cli | node --input-type=module - check "agenta-ai-agenta"

Share with your security lead

Need sign-off to use agenta? Copy this note for Slack, a ticket or a pull request.

### AgentArmorHQ Security Review Memo: agenta
- **Listing URL:** https://agentarmorhq.com/skills/agenta-ai-agenta
- **Type:** AI agent skill
- **Risk Grade:** Grade C (Moderate risk signals)
- **Outside Security Advisories on File:** 0
- **Public Adoption:** 4.8k GitHub stars

#### Permission & Blast-Radius Signals
- **Local files:** No local folder access noted
- **Command execution:** No shell command runner noted
- **Network reach:** Connects to outside service API
- **Credentials:** Requires API key or token
- **Package source:** GitHub (Agenta-AI/agenta)

#### Recommended Hardened Setup
- **Source Repo:** https://github.com/Agenta-AI/agenta
- **Controls:** Pin an exact version in `.mcp.json`, scope access to a single workspace folder, and use a least-privilege read-only token where supported.

_Based on public adoption and transparency signals as of Oct 21, 2026. Our opinion, not a code audit or security guarantee._

Key facts

Type
AI agent skill
Publisher
Agenta-AI
Source code
github.com/Agenta-AI/agenta
Est. context load
~50 tokens idle · ~450 tokens when active (on-demand skill)
Popularity
4.8k GitHub stars
Last updated
2026-10-22
Last graded
2026-10-21

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