aiagent.club
中文
GitHub

Octopoda-OS

Observation pool · not formally ranked

This project does not currently meet the main index requirement of two current dimensions across two source types.

Not ranked
Observed adoptionMissing
MomentumCurrent · 2026-09-12
0
AttentionCurrent · 2026-09-12
0
Signal confidence Based on how many independent score dimensions currently have data.
Medium2/3 · 1 source types

Methodology v2.0 · snapshot 2026-09-12 · stale after 2 days

About

The open-source memory and observability layer for AI agents. Persistent memory, loop detection, audit trails, and a live dashboard — automatic on pip install.

Live fleet overview: agent health, operations volume, per-agent scores, the anomaly stream, and the loops caught before they burned tokens. The same dashboard runs locally and in the cloud.

Octopoda is the layer between your AI agents and a production system that behaves. You write your agent however you like — plain Python, LangChain, CrewAI, AutoGen, the OpenAI Agents SDK, or MCP — and Octopoda sits underneath and handles four things agents consistently get wrong:

It runs locally with one pip install and zero infrastructure.…

Across sources

491 Stars
  • Stars 491
  • Forks 65
  • Commits 138
  • Releases 1