Go Agent
Go library for building performant, type-safe AI agents with structured reasoning workflows.
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What is Go Agent?
Go Agent is a production-ready Go library for building AI agents with configurable behavior, custom tools, and type-safe output schemas. It offers ReAct agent support, OpenAI API integration, full Go generics for compile-time type safety, JSON schema validation for structured output, per-tool usage limits, and an interface-based clean architecture — without graph-based abstractions like LangGraph.
Go Agent pricing
Pricing model: Freemium
Free and open source under MIT license. The library is completely free to use with no paid tiers. The only cost is the OpenAI API usage which developers pay directly to OpenAI based on their API usage. No subscription or licensing fees for the go-agent library itself.
Go Agent pros
- Type-safe AI agent development with full Go generics support
- Production-ready with robust error handling in real-world applications
- ReAct Agent pattern support with automatic system prompt generation
- OpenAI API integration with flexible LLM configuration
- Custom tools with automatic limit enforcement per tool
- JSON schema validation for reliable structured output
- Configurable agent behavior through natural language prompts
- Clean architecture with interface-based design following Go best practices
- Comprehensive test suite with high code coverage
- Intuitive API design with comprehensive examples in examples/ directory
- Go's strict compilation checks catch errors at build time
- True parallelism with goroutines vs Python's GIL limitations
- Superior performance for infrastructure workloads
- Easy to add custom tools and integrate with external services
- Per-tool usage limits prevent runaway execution
- Environment-based configuration management
- Open source MIT license
Go Agent cons
- Currently not production-ready (active development status)
- Only supports OpenAI API (other providers not yet implemented)
- Requires Go 1.24.4+ which is a very new version
- Requires OpenAI API key for testing (no free local LLM option yet)
- No memory support for persistent agent state yet
- No Ollama integration for local LLM deployment yet
- No multi-agent orchestration capabilities yet
- No concurrent tool execution implementation yet
- Limited to 37 stars on GitHub (small community)
- Only 2 contributors (vitalii-honchar and claude)
- No packages published on pkg.go.dev yet
- Advanced error handling patterns not yet implemented
Frequently asked questions about Go Agent
What is go-agent?
go-agent is a powerful, production-ready Go library for building AI agents with configurable behavior, custom tools, and type-safe output schemas. It enables developers to build performant, type-safe AI agents that execute structured reasoning workflows using Go's type system and generics.
What is the current status of go-agent?
The library is in active development and not yet production-ready. The latest release is v0.6.2 from July 16, 2025. The author is building real AI agents with it to refine the API before releasing version 1.0.0.
What LLM providers does go-agent support?
Currently, go-agent supports only the OpenAI API. The library is designed to be extensible to other providers, but other implementations have not been added yet. Flexible LLM configuration allows specifying model, temperature, and API key.
What agent pattern does go-agent implement?
go-agent implements the ReAct (Reasoning-Action-Observation) pattern. The system prompt for ReAct is handled automatically, requiring developers to only specify tools and behavior prompts focused on domain-specific tasks.
How do I install go-agent?
Install go-agent using the Go module command: go get github.com/vitalii-honchar/go-agent. The library requires Go 1.24.4+ as a prerequisite.
What are the key features of go-agent?
Key features include: Generic AI Agents with type-safe output schemas, extensible tools with automatic limit enforcement, configurable behavior via natural language, Multiple LLM Support (currently OpenAI), tool limits to prevent runaway execution, structured output with JSON schema validation, full Go generics support for type safety, and clean interface-based architecture.
What are planned features for go-agent 1.0.0?
Planned features include: memory support for persistent agent state, Ollama integration for local LLM deployment, multi-agent orchestration capabilities, concurrent tool execution leveraging Go's parallelism, and advanced error handling patterns.
Why did the author create go-agent instead of using LangGraph?
The author created go-agent because LangGraph overcomplicates AI agent development by reimplementing graph structures that programming languages already provide through standard control flow. Go offers strict compilation checks, true parallelism with goroutines, superior performance for infrastructure workloads, and is better suited for engineering tasks rather than data science experiments.
What examples are available for go-agent?
The repository includes comprehensive examples in the examples/ directory: increment-agent demonstrates sequential tool calls for calculations, and site-analyzer-agent shows HTTP tool integration for fetching and analyzing web content. Both examples require an OpenAI API key to run.
How do I contribute to go-agent?
To contribute: fork the repository, create a feature branch, make changes, add tests for new functionality, ensure all tests pass (make test), ensure linting passes (make lint), commit changes, push to the branch, and open a Pull Request. All public APIs must have documentation comments and tests are required for new functionality.