0.7.0.54

agentmatrix-core

Let LLMs think. Don't make them write JSON.

A Python execution engine for building AI agent applications. Separates reasoning from formatting: the large model thinks in natural language, a dedicated module handles the structured output.

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What It Is

agentmatrix-core provides the execution engine behind AgentMatrix. It includes:

• MicroAgent — A task execution engine with think-negotiate-act loop
• AgentShell Protocol — Clean boundary between execution and I/O
• Cerebellum — Intent parsing and parameter negotiation
• Action System — Pluggable skill registry and execution
• SessionStore — Conversation persistence
• Auto-Compression — Working Notes for arbitrarily long tasks
• Signal System — Event-driven communication

The core knows nothing about desktop apps, file systems, or networks. All external interaction goes through the AgentShell protocol, which you implement for your target environment.

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Install

pip install agentmatrix-core

Requires Python 3.12+.

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Quick Example

from agentmatrix import AgentMatrix, Email

# Create the runtime
matrix = AgentMatrix("./MatrixWorld")

# Send an email to an agent
email = Email(
    sender="User",
    recipient="Researcher",
    subject="Search for Python 3.13 features",
    body="Find and summarize the major new features in Python 3.13"
)

# Dispatch via PostOffice
await matrix.post_office.dispatch(email)

For a complete minimal example implementing AgentShell, see the CLI tutorial in the repository.

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Architecture

┌─────────────────────────────────────────────┐
│  Your App (Desktop / CLI / Server)          │
├─────────────────────────────────────────────┤
│  AgentShell Protocol (you implement this)   │
├─────────────────────────────────────────────┤
│  MicroAgent Engine (this package)           │
│  - Brain (reasoning in natural language)    │
│  - Cerebellum (intent → action params)      │
│  - Action Registry                          │
│  - SessionStore                             │
└─────────────────────────────────────────────┘

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Key Design

• No JSON output required — Brain reasons in plain text
• Dynamic skill composition — Mixins assembled at runtime per task
• Checkpoint-based pause/resume — Cooperative, not forced interruption
• Auto context compression — LLM-generated Working Notes prevent overflow
• Nested MicroAgents — Tasks can spawn sub-tasks with different skill sets

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Documentation

• Full docs: https://github.com/webdkt/agentmatrix/docs
• CLI tutorial: https://github.com/webdkt/agentmatrix/tree/main/tutorial/cli-agent

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License

Apache License 2.0