Mamba Agents — AI Agent Framework

A simple, extensible AI-agent framework built as a thin wrapper around pydantic-ai. Mamba Agents handles the operational complexity — context-window management, token tracking, cost estimation, and observability — so you can focus on your agent's logic. Published to PyPI with docs at sequenzia.github.io/mamba-agents.

It ships built-in filesystem, glob, grep, and bash tools with security sandboxing, connects to MCP servers over stdio/SSE/HTTP, and works with local model backends out of the box.

Key capabilities:

• Automatic context compaction with five strategies (sliding window, summarize-older, selective pruning, importance scoring, hybrid) to keep conversations within token limits
• Cost visibility via tiktoken usage tracking and estimation across all interactions
• Jinja2 prompt templates with versioning and inheritance, retry logic and circuit breakers, and OpenTelemetry tracing hooks