Ax
Official@ax-llm
Offers a multi-language framework for building typed, structured generation programs, agentic runtime loops, and optimization pipelines across diverse enterprise environments.
Agent Skills by Ax
Showing 94 vetted skills indexed across 1 GitHub repositories.
ax-llmax-mcp
Integrates native Model Context Protocol clients with Ax agents, flows, and event runtimes.
ax-llmax-event-runtime
Route external events to wake or resume Ax agents, flows, and programs with persisted state.
ax-llmwebsite-md-language-docs
Synchronize Ax website language documentation with repository truth.
ax-llmaxir-language-backend
Implement and verify generated Ax language backends across Python, Java, C++, Go, and Rust.
ax-llmax-go-ai
Write Go provider clients and model-routing code for AxAI.
ax-llmax-go-refine
Refine Go Ax generation workflows with evaluator feedback and optimizer APIs.
ax-llmax-go-flow
Builds Go flow graphs and nested programs using Ax's generated package syntax and examples.
ax-llmax-go-signature
Generate Go signatures and JSON schemas for Ax-generated package code.
ax-llmax-go-playbook
Build and evolve Ax Go playbook context from live feedback or labeled examples.
ax-llmax-go-agent
Build Go agents using the generated Ax package API.
ax-llmax-go-agent-observability
Inspect Ax Go agent traces, usage, runtime envelopes, action logs, and replay state.
ax-llmax-go-agent-rlm
Implement Go runtime integrations for Ax code execution loops and agent sessions.
ax-llmax-go-agent-memory-skills
Implement Go agent memory workflows with recall callbacks and skill tracking.
ax-llmax-go-agent-optimize
Optimize Ax agents and Go components with BootstrapFewShot or GEPA.
ax-llmax-go-gepa
Generate Go guidance for Ax GEPA optimization workflows and artifact handling.
ax-llmax-go-audio
Maps Go audio and realtime provider workflows for Ax. Supports speech input, transcription, OpenAI Responses audio mapping, realtime event folding, and no-key transport in github.com/ax-llm/ax/packages/go.
ax-llmax-go-gen
Generate Go code for Ax structured generation workflows using ax-llm packages.
ax-llmax-go-agent-context
Select Go Ax mechanisms for agent context, memory, optimization, and trajectory policy.
ax-llmax-go-llm
Write Go code for the generated Ax package using native entrypoints and runtime profiles.
ax-llmax-python-agent
Build Python agents using the generated axllm package and its typed API.
ax-llmax-python-agent-memory-skills
Track memory recall and used skills in Python AxLLM agent runs.
ax-llmax-python-gepa
Generate Python code for Ax GEPA optimization workflows in axllm.
ax-llmax-python-agent-optimize
Generate evaluator-driven optimization workflows for Python Ax agents with axllm.
ax-llmax-python-agent-observability
Diagnose Python Ax agent observability issues in axllm workflows.
Frequently Asked Questions About Ax
FAQPage SchemaWhat specific tasks can developers perform using Ax?▼
Developers can implement typed structured generation, build stateful agentic runtime loops, define complex flow graphs, and execute feedback-driven optimization cycles using reward-scored candidate ranking across multiple programming languages.
Which programming languages are supported for Ax integration?▼
Ax supports native integration for TypeScript, Python, Go, Rust, Java, and C++. Each language environment provides specific packages for provider clients, signature definitions, and runtime execution loops.
How does Ax handle agent memory and observability?▼
Ax provides structured observability callbacks, action logs, and runtime envelopes to trace agent behavior. Memory management is handled through recall callbacks and dynamic skill-loading logic integrated directly into the host language runtime.