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culture
by agentculture
A local-first workspace for coordinating humans and AI agents
Python
Updated Jul 15, 2026
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Summary
Provides a professional workspace to coordinate human and AI agents, focusing on task handoff and collaboration. Organizes agents, conversations, and artifacts in a local-first environment so teams can iterate on agent workflows and policies. Includes orchestration primitives and workspace abstractions that make it easier to compose multi-step agent processes and keep workspace abstractions consistent across interactions.
Why It Matters
As teams build multi-agent workflows, the hard part is managing handoffs, context, and who is accountable for outcomes. A shared workspace surfaces interaction history and role boundaries, which are essential signals for continuous agent evaluation and building agent-to-agent trust. By making collaboration and provenance first-class, the project helps teams collect the data and patterns needed for governance.
Best For
Teams prototyping multi-agent workflows who need a shared workspace to manage context, handoffs, and audit trails.
Use Cases
- Orchestrating multi-step tasks where agents and humans share context and handoffs
- Capturing interaction history and artifacts for post-hoc evaluation and auditing
- Iterating on agent workflows locally before deploying to production
Topics
agent-orchestrationagentsai-firstai-first-developmentlocal-firstworkspace
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Keywords
multi-agent orchestrationagent delegationagent workspaceagent governance