A complete record of AI use
Prompts, files, tool calls, agent actions, and network activity gathered into one record your team can review.
Learn more about a complete record of ai useAI Agent Security
The control layer
for AI agents.
Observe agent activity, catch risky actions, and stay in control of what your AI can access and execute.
Shell command
git statusFile access
read .envShell command
npm run buildRoutine activity12
RecordedSensitive access3
Flagged for reviewDestructive action1
Risk identifiedAgent actions such as shell commands, file access and tool calls arrive on the left, Beam classifies each one, and it lands in one of three categories: routine activity, sensitive access, or destructive action.
Works with the tools you already use.
Claude CodeCodexChatGPTCursorGitHub CopilotAntigravityMuseMore coming
Visibility without blind spots
What Agentbeam does
A few things, done carefully, for teams that have given AI real access to real systems.
Unsafe activity, caught early
Sensitive data leaving, credential access, destructive commands, and permission changes surfaced with the evidence behind them.
Learn more about unsafe activity, caught early
Local-first control
Keep observability close to the work. Agentbeam is designed to give teams visibility without sending every interaction away.
Learn more about local-first control
Evidence ready for review
Turn a stream of agent activity into clear, durable evidence for security reviews, incident response, and compliance work.
Learn more about evidence ready for review
Devices under management
Enroll Apple and Windows devices, deploy their configuration, and track enrollment and remote operations from the same workspace.
Learn more about devices under managementHow it works
From agent action to audit-ready evidence
Four steps, running the whole time an agent is working — not a scan you remember to run.
- 01
Point it at your agents
Agentbeam attaches to the coding agents already running on a machine — terminal-based and IDE assistants alike — with no change to how your team prompts them.
- 02
Every action gets recorded
Shell commands, file edits, tool calls, and network activity are captured into one local record as the agent works, not reconstructed after the fact.
- 03
Risky activity gets flagged
Sensitive-data access, credential exposure, destructive commands, and permission changes are surfaced with the evidence behind them, so review starts from a fact, not a guess.
- 04
MCP configs get scanned first
Before an agent connects to a new MCP server, its config is checked against heuristic patterns for tool poisoning, rug pulls, and credential exfiltration.
Why Beam
Built for one job, done honestly
Agent security, not cloud security
Scoped to what your AI agents do — commands, files, tool calls, MCP and skill configs — not your broader infrastructure.
Local-first, evidence-first
The collector binds to loopback only. No telemetry leaves the machine by default.
Open-source core
Beam CLI is public and self-hostable. Read the code that watches your agents, or run it yourself.
Resources
What’s happening
- From the blogCERT-In: AI agents under testing read confidential records at Indian organizationsIndia's national CERT reports that AI agents run during model testing reached live systems at Indian organizations and read confidential records. None of the victims noticed; the AI providers found and reported it. Here is the mechanism and what to lock down.Read more →
- Live classAI Safety for Agentic TeamsA live session on securing the AI agents your team already runs.Read more →EventsUpcoming sessionsWhat's currently open to register for, or ask for a private one.Read more →
Individual
Free
One person, one machine. The full local-first product — no account required.
- Runtime activity monitoring
- MCP and skill scanning before you run them
- Local-first storage, no telemetry
Team
$10 /seat/mo
For teams, not just one machine — shared visibility across a fleet of agents.
- Workspace roles and member controls
- Shared activity and device visibility
- Administrative audit trail and CSV export
On-premise
Custom
Run the control plane on your infrastructure under a commercial self-hosting agreement.
- Docker deployment with your PostgreSQL
- Offline, installation-bound license
- Seat allocation and access controls
FAQ
Questions, answered directly
What is Agentbeam?
Agentbeam is a local-first security and observability layer for AI coding agents. It records agent shell commands, file edits, tool calls and network activity, flags risky actions with the evidence behind them, and scans MCP configs and SKILL.md files for hidden instructions before an agent trusts them.
Does Agentbeam send my data anywhere?
No, by default. Agentbeam is local-first: activity is recorded to local files on the machine it runs on, and nothing is sent off-device unless you explicitly configure an export.
Which AI agents and tools does Agentbeam work with?
Agentbeam watches coding-assistant activity at the runtime level — shell commands, file changes, tool calls, and MCP server connections — so it works across the terminal-based and IDE agents your team already runs, without requiring each one to integrate separately.
Does Agentbeam block risky agent actions?
Agentbeam can. Workspace owners and admins set observe, advisory, or enforce policy. Enforce denies matching tool calls on Claude Code and Codex. The Sentinel Chrome extension pauses or blocks high-risk browser sends and can hold a send after redacting live secrets. Cursor, Copilot CLI and Gemini currently get a deny note, not a verified block.
What is MCP security scanning?
Before an agent connects to an MCP server, Agentbeam scans its config against heuristic patterns for tool poisoning, unpinned versions that enable rug pulls, and credential-exfiltration phrasing — heuristic triage, not a guarantee of safety.
Who is Agentbeam built for?
Security teams that need detection and evidence across every agent in use, and IT teams rolling out AI coding tools across developer machines who need fleet-wide visibility without slowing anyone down.
How do I get started with Agentbeam?
Agentbeam is live — click Get started to sign in and set up your workspace. Want to talk to the team first? Email [email protected].
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