The pretty much "official" DSPy framework for Typescript
Ax is a TypeScript-first programming framework for building applications with large language models through typed generation, agents, workflows, and optimization tools. It is intended for developers who want one model for LLM programs across TypeScript, Python, Java, C++, Go, Rust, and other runtimes.
This repository also configures its own agents. See what ax tells them →
Skill Claude CodeCodex
Use when writing Go code with github.com/ax-llm/ax/packages/go for AxGen programs, forward calls, indexed multi-sampling, result pickers, streaming, tools, assertions, traces, usage, and output parsing.
Skill Claude CodeCodex
Use when writing Go code with github.com/ax-llm/ax/packages/go for GEPA, Pareto tradeoffs, reflection clients, metric budgets, optimizer state, and artifacts.
Skill Claude CodeCodex
Use when writing Go code with github.com/ax-llm/ax/packages/go for using the generated Ax package, factory functions, package docs, examples, and API reference.
Skill Claude CodeCodex
Use when writing Go code with github.com/ax-llm/ax/packages/go for the playbook() context-engineering surface, agent-bound verified evolution, run-end learning, online updates, and rendering a playbook into a program.
Skill Claude CodeCodex
Use when writing Go code with github.com/ax-llm/ax/packages/go for reward-scored generation, iterative candidate improvement, evaluator feedback, and optimizer-backed refinement patterns.
Skill Claude CodeCodex
Use when writing Go code with github.com/ax-llm/ax/packages/go for string signatures, field descriptors, JSON schema output, validation, and typed tool argument shapes.
Skill Claude CodeCodex
Use when writing Java code with dev.axllm:ax for deciding between context maps, trajectory context policy, offline optimization (ACE/GEPA), and memory recall for long-context agents.
Skill Claude CodeCodex
Use when writing Java code with dev.axllm:ax for agent memory, recall callbacks, dynamic skill discovery, loaded-skill state, and used-skill tracking.
Skill Claude CodeCodex
Use when writing Java code with dev.axllm:ax for agent tracing, centralized and multi-tenant usage accounting, action logs, runtime diagnostics, replay, and production debugging.
Skill Claude CodeCodex
Use when writing Java code with dev.axllm:ax for agent optimization, verified agent-playbook evolution, evaluators, judges, optimizer artifacts, BootstrapFewShot, and GEPA.
Skill Claude CodeCodex
Use when writing Java code with dev.axllm:ax for RLM executor loops, AxCodeRuntime sessions, runtime envelopes, process runtimes, and optional runtime profiles.
Skill Claude CodeCodex
Use when writing Java code with dev.axllm:ax for agents, child delegation, tools, MCP, citations, persistent playbook learning, stage instructions, runtime state, final typed responses, and direct-respond executor skipping.
Skill Claude CodeCodex
Use when writing Java code with dev.axllm:ax for named deployment profiles, generic provider clients, model selection, OpenAI-compatible calls, Responses, Gemini, Anthropic, routers, and balancers.
Skill Claude CodeCodex
Use when writing Java code with dev.axllm:ax for audio input/output, OpenAI Responses audio mapping, realtime event folding, and generated package audio examples.
Skill Claude CodeCodex
Use when writing Java code with dev.axllm:ax for flows, nodes, program graphs, nested programs, dynamic options, caching, and optimizer components.
Skill Claude CodeCodex
Use when writing Java code with dev.axllm:ax for AxGen programs, forward calls, indexed multi-sampling, result pickers, streaming, tools, assertions, traces, usage, and output parsing.
Skill Claude CodeCodex
Use when writing Java code with dev.axllm:ax for GEPA, Pareto tradeoffs, reflection clients, metric budgets, optimizer state, and artifacts.
Skill Claude CodeCodex
Use when writing Java code with dev.axllm:ax for using the generated Ax package, factory functions, package docs, examples, and API reference.
Skill Claude CodeCodex
Use when writing Java code with dev.axllm:ax for the playbook() context-engineering surface, agent-bound verified evolution, run-end learning, online updates, and rendering a playbook into a program.
Skill Claude CodeCodex
Use when writing Java code with dev.axllm:ax for reward-scored generation, iterative candidate improvement, evaluator feedback, and optimizer-backed refinement patterns.
Skill Claude CodeCodex
Use when writing Java code with dev.axllm:ax for string signatures, field descriptors, JSON schema output, validation, and typed tool argument shapes.
Skill Claude CodeCodex
Use when writing Python code with axllm for deciding between context maps, trajectory context policy, offline optimization (ACE/GEPA), and memory recall for long-context agents.
Skill Claude CodeCodex
Use when writing Python code with axllm for agent memory, recall callbacks, dynamic skill discovery, loaded-skill state, and used-skill tracking.
Skill Claude CodeCodex
Use when writing Python code with axllm for agent tracing, centralized and multi-tenant usage accounting, action logs, runtime diagnostics, replay, and production debugging.
At most 3 mods per repository are shown here, and a mod shipped inside a plugin is left to that plugin's page — the rest are on their repository pages: