The OS for
AI agents
Autonomous agents with up to 1M-token context windows, sub-millisecond KV caching, and cross-session memory. They remember. They reason. They ship.
ZeroTouchAI
DevOps Agent
Integrations for AI agents
50+ native connectors. Unlimited possibilities.
Connect your agents to the tools you already use. Trigger, act, and complete tasks across APIs, databases, SaaS platforms, and MCP servers — out of the box.
Agent runs executed
Tasks completed autonomously
Token context window
Per-agent memory budget
Avg response time
KV-cached tool lookups
Uptime SLA
Enterprise-grade reliability
Marketplace
Featured agents
46 specialized agents across development, compliance, sales, marketing, and more. Install in one click. Pay only for what you use.
ZeroTouchAI
DevOpsAutonomous bug detection, fixing, and deployment. Scans logs, diagnoses root causes, and ships fixes.
ADA Code
DevelopmentAdvanced development agent combining iterative execution with context engineering for autonomous coding.
Lucidis Contracts
ComplianceAI contract analysis and intelligent agreement management — every clause understood. Risk flagging, redlines, and compliance checks.
BuildBuddy
BusinessYour AI co-founder. End-to-end business planning, market research, financial modeling, and pitch decks.
InboxZero
ProductivityAchieve inbox zero without the stress. Intelligent triage, auto-drafting, and follow-up scheduling.
ChurnShield
SalesCustomer churn prediction and retention. Identifies at-risk accounts and generates personalized retention plays.
LucidisKYC
ComplianceAI-powered KYC verification at scale. Document validation, identity checks, and compliance reporting.
GEO
MarketingGenerative Engine Optimization. Make your product the answer LLMs recommend to users.
LucidisScribe
DevelopmentBeautiful docs that write themselves. Auto-generates from code and APIs, keeps docs in sync, with intelligent search.
LucidisIngest
DataAny source, any format, one pipeline. AI-powered data ingestion with schema detection, dedup, and DLQ.
+ 36 more agents including LucidisScribe, LucidisIngest
Platform
Everything agents need to ship real work
An app store for AI agents
Browse 13+ specialized agents. One-click install. Verified, sandboxed, and permission-controlled.
ADA Code
Development
ZeroTouchAI
DevOps
EmailAI
Productivity
BuildBuddy
Business
Lucidis Contracts
Compliance
AssistantAI
General
Full autonomy
Each agent has its own sandboxed compute, can run code, connect to 50+ APIs, and execute complex multi-step workflows without human intervention.
One prompt, many agents
MeeseeksBox routes your request to the right agents, coordinates multi-agent workflows, and delivers combined results.
50+ native connectors
GitHub, Salesforce, Slack, Stripe, Jira, Linear, Notion, and more. Agents use real API credentials with granular permission scoping.
Enterprise-grade by default
Every agent runs in an isolated sandbox with AES-256 encryption at rest, TLS 1.3 in transit, SOC 2 Type II compliance, and granular permission controls.
Under The Hood
Context engine in production
Real code from our agent runtime. Every agent runs a GSD-inspired context engine that prevents context rot and persists memory across sessions.
| 1 | class ContextEngine: |
| 2 | """Prevents context rot during long sessions.""" |
| 3 | |
| 4 | MAX_CONTEXT_SIZE = 1_000_000 # token budget |
| 5 | COMPRESS_THRESHOLD = 100_000 # auto-summarize |
| 6 | CRITICAL_THRESHOLD = 150_000 # aggressive prune |
| 7 | |
| 8 | def inject_context(self, docs): |
| 9 | """Strategic document injection.""" |
| 10 | for doc in docs: |
| 11 | if self.token_estimate > self.COMPRESS_THRESHOLD: |
| 12 | self.compress_old_decisions() |
| 13 | self.context.append(doc) |
| 14 | |
| 15 | def save_state_snapshot(self) -> Dict: |
| 16 | """Persist memory across sessions.""" |
| 17 | return { |
| 18 | "vision": self.context.project_vision, |
| 19 | "decisions": self.context.decisions[-10:], |
| 20 | "blockers": self.context.blockers, |
| 21 | "tasks": self.context.pending_tasks, |
| 22 | } |
Up to 1M token budget
Each agent manages up to 1 million tokens with proactive compression — keeping only the most critical context in memory.
Sub-ms KV cache
47 MCP tool definitions cached in a high-speed key-value store. Sub-millisecond lookups eliminate redundant API calls across runs.
Live metrics
MeeseeksBox
One prompt, many agents
Describe a complex task in plain English. MeeseeksBox routes your request to the right agents, coordinates multi-agent workflows, and delivers combined results.
YOU
Analyze Q4 churn, find top reasons, and draft retention emails for at-risk customers.
Natural language tasks
Describe what you need in plain English — MeeseeksBox figures out which agents to use.
Intelligent routing
Automatically classifies intent, estimates complexity, and dispatches to the best agents.
Multi-agent orchestration
Complex tasks are decomposed, delegated across agents, and results are combined.
Real-time progress
Track every step — analyzing, planning, summoning, executing — with live status updates.
ReAct
Execution loop
30min
Max timeout
Real-time
Progress updates
For Developers
Build agents. Get paid.
Our Python SDK gives you everything you need to build, test, and publish agents to the marketplace. Set your own pricing and earn on every execution.
Agent code
| 1 | from agentsos_sdk import BaseAgent |
| 2 | |
| 3 | class MyAgent(BaseAgent): |
| 4 | # Your agent logic — that's it |
| 5 | |
| 6 | async def run(self, input): |
| 7 | # Use built-in LLM client |
| 8 | result = await self.llm.complete( |
| 9 | messages=input["messages"], |
| 10 | provider="anthropic", |
| 11 | model="claude-sonnet-4-20250514", |
| 12 | ) |
| 13 | |
| 14 | # Access MCP tools + connections |
| 15 | tools = self.mcp.list_tools() |
| 16 | db = self.connections.get_by_type("database") |
| 17 | |
| 18 | return self.format_success(result) |
Configuration
| 1 | id: "my-agent" |
| 2 | name: "My Agent" |
| 3 | version: "1.0.0" |
| 4 | category: "productivity" |
| 5 | |
| 6 | triggers: |
| 7 | - type: "manual" |
| 8 | - type: "webhook" |
| 9 | |
| 10 | llm: |
| 11 | providers: ["anthropic"] |
| 12 | max_tokens: 4096 |
| 13 | |
| 14 | pricing: |
| 15 | model: "per_execution" |
| 16 | price: 0.10 |
Build with the SDK
Extend BaseAgent, define your logic, and configure a manifest.yaml. Python 3.11+, built-in LLM and MCP clients.
Upload & submit
Push your agent version via the API. Validate your manifest, upload your package, and submit for review.
Security scan & review
Automated security scanning runs on every submission. Our team reviews and approves your agent for the marketplace.
Publish & earn
Set your pricing — free, per-execution, or subscription. Receive payouts directly via Stripe Connect.
$5
one-time developer fee
3
pricing models
100%
of earnings via Stripe
Pricing
Pay only for what you deploy
Each agent is priced individually — start with free agents and add specialists as your needs grow. No platform fees, no commitments.
Free Agents Available
Start with free community agents — no credit card required. Test the full platform at zero cost.
From $5/mo per agent
Premium agents are priced individually by their creators. Pay only for the agents you actually use.
Volume discounts for teams
Running 10+ agents? Contact us for team pricing with dedicated support and custom SLAs.
FAQ
Frequently asked questions
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AI workforce?
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