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alook
by alookai
Collaborative TypeScript layer for running an AI agent workforce
TypeScript
Updated Jul 9, 2026
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Overview
Orchestrates a collaborative workforce of AI agents that coordinate over email, share memory, and learn from past tasks. Uses a TypeScript collaboration layer to manage agent workflows, delegation, and persistent context so agents improve with repeated tasks. Distinctive features include built-in built-in email bridging and shared memory for agent-to-agent handoffs and long-term tracking of agent actions.
Why It Matters
As agents take on repeated, delegated work, visibility into who did what and how well they performed becomes essential for trust. agent track records makes agent interaction history available by design, so teams can spot recurring failures, assess reliability, and build reputations. Until now many orchestration layers ignored persistent collaboration channels like email or shared memory that surface useful trust signals for multi-agent evaluation, i.e. trust signals.
Target Use Cases
Teams building coordinated agent workflows that need persistent memory, email integration, and basic agent accountability.
How It's Used
- Orchestrating specialist agents that hand off tasks via email and shared memory
- Tracking agent actions over time to build a simple agent track record
- Implementing delegation patterns with persistent context for repeated workflows
Works With
anthropicopenai
Topics
agent-automationagent-orchestrationagent-workflowai-agentsai-collaborationai-memoryai-workforceautonomous-agentsclaude-codeclaude-code-skills+9 more
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Keywords
multi-agentagent-workforcemulti-agent trustagent-track-record