Open-Source Project Octo Gives AI Agents Persistent Identities and Work Records

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An open-source project called Octo, licensed under Apache 2.0, aims to solve the lack of continuity and accountability in AI-assisted workflows by assigning each AI agent a structured identity called a Bot. Every Bot includes an AgentCard detailing its capabilities, a creator binding that scopes its permissions to a human user, and a running work history tracking performance metrics like quality scores and delivery times. The system introduces a work unit called a Matter, which formalizes task assignment by capturing a brief, an assignee, deliverables, and an acceptance or rejection step with feedback. Repeated acceptance and rejection decisions are compiled into Preference Cards, which guide Bot behavior on future tasks to better align with a team's standards. The project addresses a common engineering pain point where AI outputs are scattered, sessions are stateless, and no feedback loop exists to improve AI performance within a specific team context.

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