agents
Create AI Agents in a No-Code Visual Builder or TypeScript SDK with full 2-way sync. For shipping AI assistants and multi-agent AI workflows.
No outside reports on file
This tool's main risk is that agents you build can access external systems and data; you must carefully control what services they can reach and validate all user inputs they process.
Based on public adoption and transparency signals as of Oct 22, 2026. Our opinion, not a code audit or security guarantee.
What it can access
- Local filesNo local folder access notedLOW
- Command executionNo shell command runner notedLOW
- Network reachConnects to outside service APINOTED
- CredentialsNo API token requiredLOW
- Package sourceGitHub (inkeep/agents)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/inkeep/agents ↗
Everything known
We found nothing about this project in the sources we read (last checked 2026-10-30). That does not mean it has no problems.
0 incidents · 0 advisories · 0 news articles · 0 community threads · checked 2026-10-30
Popularity grade: C (from public signals such as stars and downloads, not a code review). Graded 2026-10-22.
Sources we read: OSV, GitHub Advisory Database, CISA Known Exploited Vulnerabilities, 44 security news feeds and our incident library. Last checked 2026-10-30.
About Agents
This tool lets you build AI agents using either a visual drag-and-drop interface or TypeScript code. It supports creating single agents and multi-agent workflows, with two-way synchronization between the code and visual builder.
Who it’s for
Developers and teams shipping AI assistant products or complex multi-agent systems who want to avoid writing all the orchestration logic from scratch. Works for both code-first and visual-first builders.
Alternatives
- LangChain: Popular Python/JavaScript framework for chaining LLM calls and building agents
- Crew AI: Multi-agent framework with built-in role assignment and collaboration patterns
- AutoGen (Microsoft): Framework for multi-agent conversation and task automation
- n8n: Low-code automation platform with AI node integration for workflows
Setup
Check these steps against the project’s own instructions before running anything.
Follow the project's README on GitHub (https://github.com/inkeep/agents (opens external site)) for installation and configuration instructions specific to your environment.
Why this grade
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
- GitHub stars
- 1.5k
- Listing last refreshed
- 2026-10-29
These are public popularity signals, not a maintenance check. Look at the repository’s commit history and open issues.
Risks to watch for
- Agent actions reach external services: Agents you build can call APIs, databases, or other services based on their instructions, potentially accessing sensitive data if misconfigured
- Prompt injection in user inputs: If agents process user text without validation, attackers could inject instructions to override the agent's intended behavior
- Credential exposure in workflows: API keys and secrets used in agent configurations could leak if stored insecurely or logged in debug output
- Visual builder obscures logic: Drag-and-drop interfaces can hide complex behavior, making it harder to spot when an agent might do something unintended
- Sync conflicts between code and UI: Two-way sync could cause the visual builder and TypeScript versions to get out of sync, leading to unexpected agent behavior
How to lower the risk
Least-privilege permissions
- Give agents only the API credentials and service access they actually need
- Use separate keys for different agent capabilities
Network isolation
- Test agents in sandboxed environments before production
- Restrict which domains or services agents can connect to
Monitoring
- Log all agent actions and API calls to spot suspicious behavior
- Alert on unexpected external service access
Red flags to watch for
- Agents making calls to services you didn't configure
- Large data transfers or unusual access patterns
- Visual and code versions of the same agent disagreeing
Questions
How do I install Agents?
Agents does not publish a standalone npm or PyPI package. Clone or follow the setup instructions in its source repository at github.com/inkeep/agents.
Are there security reports about Agents?
No reports found for this package in our research (last checked 2026-10-30). Agents currently holds Grade C (Moderate risk signals) based on public adoption and transparency signals. Key risk areas to watch include agent actions reach external services, prompt injection in user inputs, credential exposure in workflows.
Is Agents actively maintained?
Agents has 1.5k GitHub stars. Our directory data was last refreshed on 2026-10-29. Check recent commit activity, release tags, and open issues at github.com/inkeep/agents before pinning it in production.
What are alternatives to Agents?
Notable alternatives to Agents include LangChain (Popular Python/JavaScript framework for chaining LLM calls and building agents), Crew AI (Multi-agent framework with built-in role assignment and collaboration patterns), AutoGen (Microsoft) (Framework for multi-agent conversation and task automation), n8n (Low-code automation platform with AI node integration for workflows). You can also compare Agents side by side with other MCP servers in the Related tools section on this page.
Key facts
- Type
- App connector
- Publisher
- inkeep
- Source code
- github.com/inkeep/agents
- Est. context load
- ~550 tokens / turn (~3 tool schemas, 0.27% of 200k context)
- Popularity
- 1.5k GitHub stars
- Last updated
- 2026-10-29
- Last graded
- 2026-10-22
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