AionUi
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Crawler Summary
The emergency brake for multi-agent systems. Stop runaway LangChain & CrewAI agents before they burn your budget. π AgentBrake **The emergency brake for multi-agent systems.** Stop runaway LangChain & CrewAI agents in real time β *before* 50 cents turns into $47,000. The install name is agentbrake-sdk; you import it as agentbrake. *A runaway agent racking up cost, stopped the moment it crosses your ceiling, before the bill grows. There's also a $1 that brakes a real LangGraph loop you can run yourself.* --- The problem In Novem Capability contract not published. No trust telemetry is available yet. 1 GitHub stars reported by the source. Last updated 10/9/2026.
Freshness
Last checked 10/9/2026
Best For
agentbrake is best for crewai, multi-agent workflows where OpenClaw compatibility matters.
Not Ideal For
Contract metadata is missing or unavailable for deterministic execution.
Evidence Sources Checked
editorial-content, GITHUB REPOS, runtime-metrics, public facts pack
The emergency brake for multi-agent systems. Stop runaway LangChain & CrewAI agents before they burn your budget. π AgentBrake **The emergency brake for multi-agent systems.** Stop runaway LangChain & CrewAI agents in real time β *before* 50 cents turns into $47,000. The install name is agentbrake-sdk; you import it as agentbrake. *A runaway agent racking up cost, stopped the moment it crosses your ceiling, before the bill grows. There's also a $1 that brakes a real LangGraph loop you can run yourself.* --- The problem In Novem
Public facts
5
Change events
1
Artifacts
0
Freshness
Oct 9, 2026
Capability contract not published. No trust telemetry is available yet. 1 GitHub stars reported by the source. Last updated 10/9/2026.
Trust score
Unknown
Compatibility
OpenClaw
Freshness
Oct 9, 2026
Vendor
Marcoschulz7
Artifacts
0
Benchmarks
0
Last release
Unpublished
Key links, install path, and a quick operational read before the deeper crawl record.
Summary
Capability contract not published. No trust telemetry is available yet. 1 GitHub stars reported by the source. Last updated 10/9/2026.
Setup snapshot
Setup complexity is LOW. This package is likely designed for quick installation with minimal external side-effects.
Final validation: Expose the agent to a mock request payload inside a sandbox and trace the network egress before allowing access to real customer data.
Everything public we have scraped or crawled about this agent, grouped by evidence type with provenance.
Vendor
Marcoschulz7
Protocol compatibility
OpenClaw
Adoption signal
1 GitHub stars
Handshake status
UNKNOWN
Crawlable docs
6 indexed pages on the official domain
Merged public release, docs, artifact, benchmark, pricing, and trust refresh events.
Extracted files, examples, snippets, parameters, dependencies, permissions, and artifact metadata.
Extracted files
0
Examples
6
Snippets
0
Languages
python
bash
pip install agentbrake-sdk
python
from agentbrake import LangChainBrakeMiddleware
from langchain.agents import create_agent
agent = create_agent(
model, tools=tools,
middleware=[LangChainBrakeMiddleware(max_cost_usd=2.00, repeat_tool_limit=5)],
)python
from agentbrake import LangChainBrakeMiddleware, AgentBrakeError
from langchain.agents import create_agent
agent = create_agent(
model, tools=tools,
middleware=[LangChainBrakeMiddleware(max_cost_usd=2.00, repeat_tool_limit=5, max_steps=30)],
)
try:
agent.invoke({"messages": [("user", "...")]})
except AgentBrakeError as e:
print(f"Stopped safely: {e.reason}")python
from agentbrake import LangChainBrake, AgentBrakeError
brake = LangChainBrake(
max_cost_usd=2.00,
repeat_tool_limit=5,
max_steps=30,
)
try:
agent_executor.invoke({"input": "..."}, config={"callbacks": [brake]})
except AgentBrakeError as e:
print(f"Stopped safely: {e.reason}")python
from agentbrake import CrewAIBrake, AgentBrakeError
CrewAIBrake(max_cost_usd=3.00, repeat_tool_limit=5).install()
try:
crew.kickoff()
except AgentBrakeError as e:
print(f"Crew stopped safely: {e.reason}")text
[AgentBrake] step 1: web_search Β· running cost $0.4000 [AgentBrake] step 2: web_search Β· running cost $0.8000 [AgentBrake] step 3: web_search Β· running cost $1.2000 [AgentBrake] step 4: web_search Β· running cost $1.6000 [AgentBrake] β οΈ approaching cost limit (1.60 of 2.0) [AgentBrake] step 5: web_search Β· running cost $2.0000 [AgentBrake] π STOPPED β cost ceiling reached ($2.00 β₯ $2.00) steps=5 tool_calls=5 llm_calls=5 cost=$2.0000 elapsed=6.2s
Full documentation captured from public sources, including the complete README when available.
Docs source
GITHUB REPOS
Editorial quality
ready
The emergency brake for multi-agent systems. Stop runaway LangChain & CrewAI agents before they burn your budget. π AgentBrake **The emergency brake for multi-agent systems.** Stop runaway LangChain & CrewAI agents in real time β *before* 50 cents turns into $47,000. The install name is agentbrake-sdk; you import it as agentbrake. *A runaway agent racking up cost, stopped the moment it crosses your ceiling, before the bill grows. There's also a $1 that brakes a real LangGraph loop you can run yourself.* --- The problem In Novem
The emergency brake for multi-agent systems. Stop runaway LangChain & CrewAI agents in real time β before 50 cents turns into $47,000.
pip install agentbrake-sdk
The install name is
agentbrake-sdk; you import it asagentbrake.

A runaway agent racking up cost, stopped the moment it crosses your ceiling, before the bill grows. There's also a no-API-key example that brakes a real LangGraph loop you can run yourself.
In November 2025, four LangChain agents entered an infinite loop. They ran for 11 days. The bill was $47,000. Nobody noticed until it was over.
This is not rare. Autonomous agents fail expensively rather than loudly:
Observability tools record this. They don't stop it. By the time the alert fires β or someone reads it β the money is gone. The gap between "the alert fired" and "the run stopped" is exactly where the damage compounds.
AgentBrake closes that gap. It intercepts, not just observes.
AgentBrake hooks into your agent's execution and watches every step in real time. When a run crosses a limit you set, it raises a clean exception that halts the agent before the next expensive call goes out.
from agentbrake import LangChainBrakeMiddleware
from langchain.agents import create_agent
agent = create_agent(
model, tools=tools,
middleware=[LangChainBrakeMiddleware(max_cost_usd=2.00, repeat_tool_limit=5)],
)
That's it. One line.
| Runaway pattern | How AgentBrake stops it |
|---|---|
| Identical-tool loops (same call, same args, over and over) | repeat_tool_limit β trips after N identical calls in a row |
| Cost blowouts (the $47k overnight run) | max_cost_usd β a hard ceiling, enforced live as tokens are spent |
| Endless reasoning (no stopping condition) | max_steps β caps total reasoning steps |
| Tool-call storms | max_tool_calls β caps total tool invocations |
| Hung runs | max_duration_s β wall-clock ceiling |
It warns at 80% of any limit, and stops at 100%.
LangChain has two agent stacks, and they intercept differently β AgentBrake ships the right tool for each.
LangChain 1.x (create_agent / LangGraph) β use the middleware. It runs
inside the agent graph, so it can actually halt the run:
from agentbrake import LangChainBrakeMiddleware, AgentBrakeError
from langchain.agents import create_agent
agent = create_agent(
model, tools=tools,
middleware=[LangChainBrakeMiddleware(max_cost_usd=2.00, repeat_tool_limit=5, max_steps=30)],
)
try:
agent.invoke({"messages": [("user", "...")]})
except AgentBrakeError as e:
print(f"Stopped safely: {e.reason}")
Classic AgentExecutor (LangChain 0.x) β use the callback:
from agentbrake import LangChainBrake, AgentBrakeError
brake = LangChainBrake(
max_cost_usd=2.00,
repeat_tool_limit=5,
max_steps=30,
)
try:
agent_executor.invoke({"input": "..."}, config={"callbacks": [brake]})
except AgentBrakeError as e:
print(f"Stopped safely: {e.reason}")
from agentbrake import CrewAIBrake, AgentBrakeError
CrewAIBrake(max_cost_usd=3.00, repeat_tool_limit=5).install()
try:
crew.kickoff()
except AgentBrakeError as e:
print(f"Crew stopped safely: {e.reason}")
Every run prints where your money is going, step by step:
[AgentBrake] step 1: web_search Β· running cost $0.4000
[AgentBrake] step 2: web_search Β· running cost $0.8000
[AgentBrake] step 3: web_search Β· running cost $1.2000
[AgentBrake] step 4: web_search Β· running cost $1.6000
[AgentBrake] β οΈ approaching cost limit (1.60 of 2.0)
[AgentBrake] step 5: web_search Β· running cost $2.0000
[AgentBrake] π STOPPED β cost ceiling reached ($2.00 β₯ $2.00)
steps=5 tool_calls=5 llm_calls=5 cost=$2.0000 elapsed=6.2s
AgentBrake ships with current pricing for GPT-4o, GPT-4, Claude (Opus/Sonnet/Haiku), and Gemini, so cost ceilings work out of the box. Override anytime with your own rates.
Provider caps are monthly and account-wide β they fire after the damage, across everything. AgentBrake is per-run and in-process β it stops this agent now, before the next call. It's the difference between a smoke alarm and a sprinkler.
FSL-1.1-MIT (Functional Source License). Free to use, modify and self-host for any purpose, except building a competing commercial product or service. Each release converts automatically to the MIT license two years after it ships. (Versions 0.1.0 and 0.1.1 were released under MIT and stay MIT.)
Because AgentBrake runs in-process (no proxy, no gateway), your prompts and data never leave your environment, and the overhead is measured in microseconds. Privacy by design, near-zero added latency.
Machine endpoints, protocol fit, contract coverage, invocation examples, and guardrails for agent-to-agent use.
Contract coverage
Status
missing
Auth
None
Streaming
No
Data region
Unspecified
Protocol support
Requires: none
Forbidden: none
Guardrails
Operational confidence: low
curl -s "https://www.xpersona.co/api/v1/agents/crewai-marcoschulz7-agentbrake/snapshot"
curl -s "https://www.xpersona.co/api/v1/agents/crewai-marcoschulz7-agentbrake/contract"
curl -s "https://www.xpersona.co/api/v1/agents/crewai-marcoschulz7-agentbrake/trust"
Trust and runtime signals, benchmark suites, failure patterns, and practical risk constraints.
Trust signals
Handshake
UNKNOWN
Confidence
unknown
Attempts 30d
unknown
Fallback rate
unknown
Runtime metrics
Observed P50
unknown
Observed P95
unknown
Rate limit
unknown
Estimated cost
unknown
Do not use if
Every public screenshot, visual asset, demo link, and owner-provided destination tied to this agent.
Neighboring agents from the same protocol and source ecosystem for comparison and shortlist building.
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Contract JSON
{
"contractStatus": "missing",
"authModes": [],
"requires": [],
"forbidden": [],
"supportsMcp": false,
"supportsA2a": false,
"supportsStreaming": false,
"inputSchemaRef": null,
"outputSchemaRef": null,
"dataRegion": null,
"contractUpdatedAt": null,
"sourceUpdatedAt": null,
"freshnessSeconds": null
}Invocation Guide
{
"preferredApi": {
"snapshotUrl": "https://www.xpersona.co/api/v1/agents/crewai-marcoschulz7-agentbrake/snapshot",
"contractUrl": "https://www.xpersona.co/api/v1/agents/crewai-marcoschulz7-agentbrake/contract",
"trustUrl": "https://www.xpersona.co/api/v1/agents/crewai-marcoschulz7-agentbrake/trust"
},
"curlExamples": [
"curl -s \"https://www.xpersona.co/api/v1/agents/crewai-marcoschulz7-agentbrake/snapshot\"",
"curl -s \"https://www.xpersona.co/api/v1/agents/crewai-marcoschulz7-agentbrake/contract\"",
"curl -s \"https://www.xpersona.co/api/v1/agents/crewai-marcoschulz7-agentbrake/trust\""
],
"jsonRequestTemplate": {
"query": "summarize this repo",
"constraints": {
"maxLatencyMs": 2000,
"protocolPreference": [
"OPENCLEW"
]
}
},
"jsonResponseTemplate": {
"ok": true,
"result": {
"summary": "...",
"confidence": 0.9
},
"meta": {
"source": "GITHUB_REPOS",
"generatedAt": "2026-10-09T23:44:45.698Z"
}
},
"retryPolicy": {
"maxAttempts": 3,
"backoffMs": [
500,
1500,
3500
],
"retryableConditions": [
"HTTP_429",
"HTTP_503",
"NETWORK_TIMEOUT"
]
}
}Trust JSON
{
"status": "unavailable",
"handshakeStatus": "UNKNOWN",
"verificationFreshnessHours": null,
"reputationScore": null,
"p95LatencyMs": null,
"successRate30d": null,
"fallbackRate": null,
"attempts30d": null,
"trustUpdatedAt": null,
"trustConfidence": "unknown",
"sourceUpdatedAt": null,
"freshnessSeconds": null
}Capability Matrix
{
"rows": [
{
"key": "OPENCLEW",
"type": "protocol",
"support": "unknown",
"confidenceSource": "profile",
"notes": "Listed on profile"
},
{
"key": "crewai",
"type": "capability",
"support": "supported",
"confidenceSource": "profile",
"notes": "Declared in agent profile metadata"
},
{
"key": "multi-agent",
"type": "capability",
"support": "supported",
"confidenceSource": "profile",
"notes": "Declared in agent profile metadata"
}
],
"flattenedTokens": "protocol:OPENCLEW|unknown|profile capability:crewai|supported|profile capability:multi-agent|supported|profile"
}Facts JSON
[
{
"factKey": "vendor",
"category": "vendor",
"label": "Vendor",
"value": "Marcoschulz7",
"href": "https://github.com/marcoschulz7/agentbrake",
"sourceUrl": "https://github.com/marcoschulz7/agentbrake",
"sourceType": "profile",
"confidence": "medium",
"observedAt": "2026-10-09T03:24:49.779Z",
"isPublic": true
},
{
"factKey": "protocols",
"category": "compatibility",
"label": "Protocol compatibility",
"value": "OpenClaw",
"href": "https://www.xpersona.co/api/v1/agents/crewai-marcoschulz7-agentbrake/contract",
"sourceUrl": "https://www.xpersona.co/api/v1/agents/crewai-marcoschulz7-agentbrake/contract",
"sourceType": "contract",
"confidence": "medium",
"observedAt": "2026-10-09T03:24:49.779Z",
"isPublic": true
},
{
"factKey": "traction",
"category": "adoption",
"label": "Adoption signal",
"value": "1 GitHub stars",
"href": "https://github.com/marcoschulz7/agentbrake",
"sourceUrl": "https://github.com/marcoschulz7/agentbrake",
"sourceType": "profile",
"confidence": "medium",
"observedAt": "2026-10-09T03:24:49.779Z",
"isPublic": true
},
{
"factKey": "docs_crawl",
"category": "integration",
"label": "Crawlable docs",
"value": "6 indexed pages on the official domain",
"href": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
"sourceUrl": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
"sourceType": "search_document",
"confidence": "medium",
"observedAt": "2026-04-15T05:03:46.393Z",
"isPublic": true
},
{
"factKey": "handshake_status",
"category": "security",
"label": "Handshake status",
"value": "UNKNOWN",
"href": "https://www.xpersona.co/api/v1/agents/crewai-marcoschulz7-agentbrake/trust",
"sourceUrl": "https://www.xpersona.co/api/v1/agents/crewai-marcoschulz7-agentbrake/trust",
"sourceType": "trust",
"confidence": "medium",
"observedAt": null,
"isPublic": true
}
]Change Events JSON
[
{
"eventType": "docs_update",
"title": "Docs refreshed: Sign in to GitHub Β· GitHub",
"description": "Fresh crawlable documentation was indexed for the official domain.",
"href": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
"sourceUrl": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
"sourceType": "search_document",
"confidence": "medium",
"observedAt": "2026-04-15T05:03:46.393Z",
"isPublic": true
}
]Sponsored
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