# OpenServ

> OpenServ provides production-grade AI infrastructure for autonomous agents. Its core product, SERV Reasoning, is a reasoning layer designed to make AI agents more reliable, efficient, secure, and auditable for production use in enterprises, financial institutions, governments, robotics, healthcare, and other high-stakes environments.

OpenServ's infrastructure spans reasoning, agent building and orchestration, AI-native product development, tokenized launches, and autonomous operational workflows.

SERV Reasoning sits between applications and large language models and is compatible with OpenAI and Anthropic SDKs. It uses bounded reasoning graphs, schema-forced execution, intelligent model routing, verification, and prompt protection to improve reliability and reduce the cost of agentic workloads.

## Core

- [OpenServ](https://www.openserv.ai/): Official OpenServ homepage and overview of the SERV agent infrastructure ecosystem.
- [SERV Reasoning](https://www.openserv.ai/product): Production-grade reasoning infrastructure for AI agents, including bounded reasoning, schema-forced execution, intelligent model routing, verification, and model options.
- [Enterprise](https://www.openserv.ai/customers): How SERV is used for high-stakes workloads across banking and financial services, government, healthcare, robotics, defense, and agentic commerce.
- [SERV Labs](https://www.openserv.ai/research): OpenServ's AI research lab, publications, technical research, and work on structured reasoning for autonomous agents.
- [OpenServ Documentation](https://docs.openserv.ai/): Official technical documentation for SERV Reasoning, Build, Launch, Run, SDKs, APIs, workflows, agents, and integrations.
- [Full Documentation Index](https://docs.openserv.ai/llms.txt): Machine-readable index of all OpenServ documentation pages.
- [OpenServ Platform](https://platform.openserv.ai/): Platform for building, orchestrating, deploying, and using AI agents and agent services.
- [SERV Launch](https://launch.openserv.ai/): Launch infrastructure for AI-native projects and tokenized agent businesses.
- [OpenServ Blog](https://www.openserv.ai/blog): Technical articles, product announcements, case studies, benchmarks, and SERV roadmap updates.

## SERV Reasoning Documentation

- [What is SERV?](https://docs.openserv.ai/what-is-serv): Overview of SERV as the reasoning infrastructure layer for AI agents.
- [Why SERV Reasoning](https://docs.openserv.ai/serv-reasoning/why): Explanation of the problems SERV Reasoning addresses and how it improves model performance for agentic workloads.
- [Quickstart](https://docs.openserv.ai/serv-reasoning/introduction): Make a first SERV Reasoning request using the OpenAI SDK, Anthropic SDK, or HTTP.
- [API Overview](https://docs.openserv.ai/serv-reasoning/api): Authentication, endpoints, base URLs, and API behavior.
- [SDK Integration](https://docs.openserv.ai/serv-reasoning/sdk-integration): Integration guidance for using SERV with OpenAI and Anthropic SDKs.
- [SDK Migration](https://docs.openserv.ai/serv-reasoning/sdk-migration): Guidance for migrating existing AI applications and frameworks to SERV.
- [SERV Models](https://docs.openserv.ai/serv-reasoning/models): Available SERV models, pricing, context windows, and intended workloads.
- [SERV Tools](https://docs.openserv.ai/serv-reasoning/tools): Controls for prompt-injection protection, content filtering, and Shadow Agent validation.
- [SERV Reasoning Research](https://docs.openserv.ai/serv-reasoning/research): Technical summary of the research underlying SERV Reasoning.
- [Changelog](https://docs.openserv.ai/changelog/overview): Product updates and newly released OpenServ capabilities.

## Research

- [SERV Labs](https://www.openserv.ai/research): Research on agentic infrastructure, structured reasoning, model efficiency, and production AI systems.
- [BRAID: Bounded Reasoning for Autonomous Inference and Decisions](https://arxiv.org/abs/2512.15959): Research paper by Armağan Amcalar and Eyup Cinar describing the bounded reasoning architecture underlying SERV Reasoning.
- [SERV Benchmarks](https://benchmark.openserv.ai/): Benchmark data and experimental results associated with SERV Reasoning research.

## Key SERV Reasoning Features

- [Shadow Agents](https://www.openserv.ai/blog/shadow-agents-ai-agent-verification): Autonomous verification agents that independently check AI outputs against expectations before they are returned.
- [PromptGuard](https://www.openserv.ai/blog/prompt-injection-protection-promptguard): SERV's built-in protection against prompt injection and instruction manipulation in agentic systems.
- [Multipath](https://www.openserv.ai/blog/multipath-structured-reasoning-ai-agents): Structured reasoning architecture for agents operating across large, complex, or conflicting rule sets.
- [Benchmark Tooling](https://www.openserv.ai/blog/ai-agent-benchmarking-tooling): Tools for evaluating SERV against an organization's own production workloads before migration.

## Case Studies and Benchmarks

- [Designing AI Reasoning for High-Stakes Decisions](https://www.openserv.ai/blog/neol-case-study): Case study covering Neol's use of SERV Reasoning for reproducible and auditable high-stakes AI decision workflows.
- [Independent SERV Reasoning Benchmark](https://www.openserv.ai/blog/serv-reasoning-benchmark-thoughtproof): Independent ThoughtProof evaluation of SERV Reasoning across production-shaped verification workloads.
- [Benchmark Tooling: Proof on Your Own Agents Before You Migrate](https://www.openserv.ai/blog/ai-agent-benchmarking-tooling): How organizations can benchmark reliability and cost improvements using their own agents and data.

## Strategy and Roadmap

- [SERV Roadmap — H2 2026](https://www.openserv.ai/blog/our-plan-for-h2): OpenServ's roadmap for the second half of 2026, including enterprise adoption, financial services, infrastructure, and ecosystem development.
- [SERV's Path Into Banking and Financial Services](https://www.openserv.ai/blog/serv-s-path-into-banking-and-financial-services): OpenServ's approach to agent infrastructure for regulated financial institutions.
- [The SERV Vision and Roadmap](https://www.openserv.ai/blog/the-serv-vision-and-roadmap): Overview of SERV's long-term vision, positioning, reasoning infrastructure, and enterprise strategy.

## Technical Articles

- [The Missing Piece in AI Reasoning](https://www.openserv.ai/blog/braid-is-the-missing-piece-in-ai-reasoning): Introduction to BRAID and the case for structured machine-readable reasoning instead of unbounded natural-language reasoning.
- [Shadow Agents: Autonomous AI Agent Verification, Built for Production](https://www.openserv.ai/blog/shadow-agents-ai-agent-verification): Technical explanation of SERV's autonomous output-verification architecture.
- [PromptGuard: Prompt Injection Protection Built Into the Reasoning Process](https://www.openserv.ai/blog/prompt-injection-protection-promptguard): Explanation of SERV's multi-layer prompt-injection defense.
- [Multipath: Structured Reasoning for Agents That Outgrew a Single Prompt](https://www.openserv.ai/blog/multipath-structured-reasoning-ai-agents): How SERV handles large and conflicting rulebooks using structured reasoning paths.

## Build

- [Build with OpenServ](https://docs.openserv.ai/build): Overview of the OpenServ agent-building infrastructure.
- [No-Code Quickstart](https://docs.openserv.ai/no-code): Build agents, workflows, and automations without code.
- [Agents](https://docs.openserv.ai/no-code/agents): Create, discover, and manage AI agents.
- [Workflows](https://docs.openserv.ai/no-code/workflows): Build multi-step agent workflows and automations.
- [Connect](https://docs.openserv.ai/no-code/connect): Connect agents to integrations, MCP servers, and secrets.
- [Code Quickstart](https://docs.openserv.ai/vibecode): Developer-oriented introduction to building with OpenServ.
- [TypeScript SDK](https://docs.openserv.ai/vibecode/sdk/typescript): TypeScript SDK for building OpenServ agents and integrations.
- [OpenServ Skills](https://docs.openserv.ai/vibecode/skills): Official reusable OpenServ skills for coding agents.

## Launch and Ecosystem

- [SERV Launchpad](https://docs.openserv.ai/launch): Infrastructure for launching AI-native projects.
- [For Builders](https://docs.openserv.ai/launch/for-builders): Information for teams launching projects through SERV.
- [Programmatic Fundraising](https://docs.openserv.ai/launch/programmatic-fundraising): OpenServ's approach to programmatic capital formation for AI-native projects.
- [$SERV Token](https://docs.openserv.ai/what-is-serv/the-serv-token): Information about the SERV token and its role within the OpenServ ecosystem.

## Autonomous Operations

- [AI Cofounder Suite](https://docs.openserv.ai/run): OpenServ's operational layer of AI agents designed to perform startup activities such as marketing, sales, growth, content, community, and operations.

## Company

- [Team](https://www.openserv.ai/team): OpenServ leadership, engineering, research, finance, growth, and advisory team.
- [GitHub](https://github.com/openserv-labs): Open-source OpenServ repositories, SDKs, tools, and skills.

## Optional

- [Privacy Policy](https://www.openserv.ai/privacy-policy): OpenServ privacy policy.
- [Terms of Service](https://www.openserv.ai/term-of-services): Terms governing use of OpenServ services.