XYZ-AI-Lab/AxisAgentic

Health v2 · maintenance only

Flags: no_releases young

Adoption not part of the score

1114 stars · 142 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

AxisAgentic is an extensible Python runtime for long-horizon AI agents that handles multi-turn execution, tool orchestration, context management, and recovery. It records append-only traces of every run, which can be replayed, evaluated against benchmarks, or exported as SFT training trajectories.

Use cases

• run long-horizon ai agents with tool orchestration
• collect agent trajectories for sft fine-tuning data
• replay and evaluate agent runs on benchmarks
• build custom agents with pluggable model clients and tools
• manage context compaction and recovery in multi-turn agent runs
• export filtered agent traces for external training systems

When to choose

• you need reproducible, traceable execution of long-running agents
• you want to collect and export trajectories for model training
• you need pluggable model clients, tools, evaluators, and reward functions
• you run benchmark evaluations of agent behavior

When to avoid

• you need a simple chatbot or single-turn LLM wrapper
• you want bundled model weights - the repo includes none
• you need a production end-user agent product rather than a research/runtime framework
• you are not working in Python 3.12+ environments

Facets

framework · maturity active

agent-framework llm-inference rag benchmarking data-generation workflow-automation large-language-models machine-learning developer-tools python cli trajectory-collection long-horizon-agents sft-data agent-runtime replay openai-compatible tool-orchestration ai-agents linux macos

Member repositories

For agents

markdown · JSON · MCP: product_card(name="XYZ-AI-Lab/AxisAgentic")