Discover
Find every agent you are running and the tools, keys, and systems it can reach, so nothing is acting on your machine or your business without your knowledge.
Solutions / Developers & SMB
Keep your AI agents from getting out of control.
You do not need a compliance department to lose control of an agent. A single autonomous agent on your laptop or in your small business can spend real money, run real commands, touch real data, and act on real systems with nothing watching it. Agentomy's free tier is governance built for exactly that.
LangChainthe popular open framework for building tool-using AI agentsHermesan open agent runtime in the Claw ecosystemOpenClawan open agent runtime in the Claw ecosystem, formerly Clawdbot and briefly MoltbotAny MCP agentMCP (Model Context Protocol) is the open standard Agentomy plugs into, so it governs agents built on any framework
How Agentomy helps developers & smb
Enforce
Set permission limits so an agent cannot spend, delete, or leak beyond the bounds you set. One command halts it. Free to start.
Prove
Keep a tamper-evident record of everything an agent did, so when something goes wrong you can see exactly what happened and why.
In practice01 02 03 04 05
Plausible scenarios
Concrete ways an agent goes wrong here without governance, and the control that catches each one.
An agent loops overnight and burns your budget
You leave an agent running and a loop keeps it hammering an API or a cloud service until morning, quietly running up a bill you never approved. Rate and spend limits cap how fast and how much it can consume, so a runaway loop stops instead of draining your account.
A coding agent runs a destructive command
A coding agent decides the fastest path is to wipe a directory or force-push over your branch, and your work is gone. Authorization blocks actions outside its allowed scope, so a destructive command it was never permitted to run is refused and logged, not executed.
An agent leaks an API key into a log
An agent pastes a secret or an API key into a log line, a chat message, or a commit where it should never appear. Output scanning and policy catch the secret before it leaves, so a private key does not end up somewhere public.
A LangChain agent reaches a production database
A LangChain tool-using agent follows a chain of steps into a production database or a payment API it was never meant to touch. Permission boundaries refuse the connection, so the agent stays inside the systems you actually gave it.
A support agent issues refunds on its own
A small-business support agent starts issuing refunds or emailing customers beyond what it was authorized to do. Per-action limits plus a human confirm step stop the action, so the agent cannot move money or reach customers past the line you drew.
Works with
Governs the agent frameworks you already run.
Expand any framework to see what it means and what Agentomy provides.
LangChain: the popular open framework for building tool-using AI agents. Agentomy governs agents built on it: authorization before every action, a full audit trail, and a one-command kill switch.
Hermes: an open agent runtime in the Claw ecosystem. Agentomy governs agents built on it: authorization before every action, a full audit trail, and a one-command kill switch.
OpenClaw: an open agent runtime in the Claw ecosystem, formerly Clawdbot and briefly Moltbot. Agentomy governs agents built on it: authorization before every action, a full audit trail, and a one-command kill switch.
Any MCP agent: MCP (Model Context Protocol) is the open standard Agentomy plugs into, so it governs agents built on any framework. Agentomy governs agents built on it: authorization before every action, a full audit trail, and a one-command kill switch.
Go deeper
Related use cases
Governing your personal AI agentThe laptop that can spend, delete, and leak: put permission limits, a kill switch, and an audit trail around the agents you run on your own machine.Read more →Governing AI agents in a small businessAutomate support, operations, and data work with agents, and still keep limits and an audit trail, without standing up a security department to do it.Read more →Governing LangChain agentsTool-calling LangChain agents can reach databases, APIs, and shells. Bound exactly what they touch, cap what they spend, and record what they did.Read more →
See it in the record
Every action, logged and provable.
A tamper-evident, hash-linked trail of every governance decision, exportable to the framework your auditors care about. No error codes; plain-English reasons for every allow and deny.
Agentomy Command CenterFilter Developers & SMB
Fleet posture
- Governance posture77/100
- Agents governed5/ 6
- Quarantined1
Illustrative control mapping
- EU AI Act78%
- NIST RMF92%
- OWASP Agentic85%
Recent activity
- 12:42PermissionRouterVendor access blocked
- 12:41AuditLoggerEvidence record generated
- 12:40RuntimeMonitorBehavior drift flagged
- 12:39TrustScorerGovernance score updated
- 6 Registered
- 1 Quarantined
- Fleet Active
- Pipeline 10 Stages
| Agent | Type | Status | Module | Score |
|---|---|---|---|---|
| lead-research-agent | Research | Active | RuntimeMonitor | 92 |
| inbox-triage-agent | Support | Active | AuditLogger | 88 |
| supplier-review-agent | Procurement | Monitored | PermissionRouter | 74 |
| bookkeeping-agent | Finance | Quarantined | HaltProtocol | 41 |
| contract-draft-agent | Legal | Monitored | EthicsConstraint | 79 |
| weekly-report-agent | Reporting | Active | DecisionLog | 90 |
Live 12:42:08Governance decisions, newest first
| Agent | Action | Policy | Result | Time |
|---|---|---|---|---|
| PermissionRouter | data_access_request | vendor-access | Blocked | 12:42:08 |
| AuditLogger | output_validation | audit-trail | Allowed | 12:41:54 |
| TrustScorer | policy_check | runtime-score | Allowed | 12:41:37 |
| RuntimeMonitor | behavior_drift | drift-threshold | Flagged | 12:40:58 |
| HaltProtocol | halt_initiated | unsafe-action | Blocked | 12:40:21 |
| EthicsConstraint | prompt_review | restricted-output | Flagged | 12:39:46 |
| DecisionLog | evidence_recorded | decision-proof | Allowed | 12:39:12 |
- 100% Integrity
- 45,934 Blocks
- SHA-256 hash-linked
| Block | Timestamp | Agent | Action | Tier | Hash |
|---|---|---|---|---|---|
| 45,934 | Today 12:42:08 | lead-research-agent | data_access_request | Evaluator | 05dddd1cf8fa43e3 |
| 45,933 | Today 12:41:54 | inbox-triage-agent | output_validation | Analyst | 59fdb4bc6b4a3710 |
| 45,932 | Today 12:41:37 | supplier-review-agent | policy_check | Builder | 33a2c72deeba7a9f |
| 45,931 | Today 12:40:58 | bookkeeping-agent | behavior_drift | Operator | 6d3f66b9792eed59 |
| 45,930 | Today 12:40:21 | contract-draft-agent | halt_initiated | Strategist | edfd5395ddde3a0a |
| 45,929 | Today 12:39:46 | weekly-report-agent | prompt_review | Evaluator | 5eb70f43ac167104 |
Governance events today: 12,842Demo environment
FAQ
Questions developers ask
You put a governance layer between the agent and everything it can touch. Agentomy authorizes every action before it runs, so an agent can only spend, delete, reach a system, or send data inside the limits you set. If it tries to go past them, the action is refused and recorded, and one command halts the agent entirely. That turns an agent you hope behaves into one you can bound and stop.
AI agent governance is the set of controls that keep an autonomous agent inside the limits you set: checking each action against what the agent is allowed to do, recording everything it does, and letting you halt it instantly. For a developer, that means your agent runs with permission boundaries, spend and rate limits, output scanning for secrets, and an audit trail, instead of running with whatever access your code happened to hand it.
Yes. LangChain is one of the frameworks Agentomy is built to govern. You keep building your agent the way you already do, and Agentomy sits in front of the tools and systems it calls, authorizing each action, bounding what it can reach, and logging what it did. A LangChain agent stays inside the databases, APIs, and shells you actually granted it.
Agentomy gives you a one-command halt that stops every governed agent immediately. While the halt is active, no agent can take a new authorized action, and the halt holds across a restart rather than silently letting agents resume. You do not have to hunt down a process or hope the agent notices a stop signal. One command, and it is stopped.
Yes. Agentomy has a free tier built for individual developers and small businesses running agents on their own machines or in a small team. You can discover your agents, set permission limits, and keep an audit trail without a paid plan, and move up only if and when you need more.
No. Agentomy is vendor-neutral and plugs in through MCP (Model Context Protocol), the open standard, so it governs agents across frameworks including LangChain and open runtimes in the Claw ecosystem such as Hermes and OpenClaw. You keep your framework and your code; governance wraps around it.