Most agents
aren't reliable.
Build one that is.

Ship reliable agents with the missing layer for execution, memory, self-improvement and repeatable procedures
OpenAI
Anthropic
Gemini
Llama
DeepSeek
Mistral
Grok
RELIABLE > INTELIIGENT

Built for reliability

99.99% Uptime
<50ms Response
10k+ Concurrent Sessions
EXECUTION_ACTIVE • ISOLATED
ISOLATED VM RUNTIMETASKRESULTSESSION_2401SESSION_2402

Runtime for reliable execution

Bluebag gives each agent an isolated virtual machine where it can run deterministic scripts, use built-in tools, work with files, keep a scratchpad, and complete real workflows safely — even across 10,000+ concurrent sessions
ISOLATED VMS
FILES + TOOLS
10K+ CONCURRENT SESSIONS
Product Surface

Everything you need
to ship reliable agents

Runtime
Tooling
Workflow
01
Command Center
See your procedures, runs, versions, and outcomes in one place, so reliability stays visible as your agent system grows
12
Skills
1.2k
Runs
99.1%
Success
email-generation
v2.1
99.8%
health-data-analysis
v1.4
98.2%
compliance-check
v3.0
100%
02
Playground
Test behavior before it reaches production, inspect live runs, and replay sessions to understand what happened and why
Replay failed auth session and inspect behavior
RUN
-Sandbox initialized (23ms)
-Restored user context and defaults
-Re-running auth procedure
-Comparing output to expected behavior
-Detected 2 reliability issues
-Trace saved for review
FAILED RUN REPLAYABLE · TRACE SAVED
03
CLI + Versioning
Ship changes with a workflow your team can maintain: version procedures, review updates, and roll back safely if needed
$
bluebag push
→ Detecting changes...
→ auth-review (modified)
→ customer-context (updated)
→ procedures (versioned)
✓ Pushed 3 procedures · v2.4.0
v2.3.0
Refined customer context
1d ago
v2.2.0
Added validation checks
3d ago
v2.1.0
Added error handling
4d ago
04
Import + Integrate
Works with any Stack and integrate in a few lines of code instead of managing infrastucture
Source
github.com/acme/data-analysis
skills.sh/email-generation
↓ Import to workspace
Integrate
// 3 lines to enhance your agent
import { bluebag } from '@bluebag/sdk'

const tools = bluebag.enhance(agent)
SDK Integration

Works with your existing stack

Add Bluebag to the agent you already have. Keep your framework, keep your tools, and add the runtime layer for reliable execution.
api/chat/route.ts
import { Bluebag } from "@bluebag/ai-sdk";
const bluebag = new Bluebag({ apiKey: process.env.BLUEBAG_API_KEY });
const config = await bluebag.enhance({ model, messages });
return streamText(config);
Add Bluebag in a few lines. Your agent keeps its stack, but now runs with production runtime support.
RUNTIME LAYER • ACTIVE

Ship agents you can trust

Runtime, context, procedures, and
feedback loops for building reliable agents
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Runtime active