
Introducing OM2: Your enterprise just started thinking
Your AI starts from zero every session. OM2 is the organizational memory that learns continuously across your tools, so it stops re-reading and starts thinking.
Coworker Blog
Product updates, engineering deep dives, original research and our point of view on giving AI the right context at the right cost.

Your AI starts from zero every session. OM2 is the organizational memory that learns continuously across your tools, so it stops re-reading and starts thinking.

In September, we shipped OM2, Code in beta, a new Analytics dashboard, and new connectors.
Coworker AI's enterprise AI governance guide: NIST, ISO 42001 and EU AI Act, plus how to stop agent sprawl, consolidate AI seats and track cost per task.
Coworker AI on build vs buy AI for the context layer: team sizes, timelines, run costs, Glean contract data and a short checklist to decide.
Coworker AI compares AI token cost for 13 models: list price, cost per task, quality score and one monthly workload. Prices checked October 15, 2026.
Coworker AI compares 10 Copilot Studio alternatives for 2026, from Agentforce and Gemini Enterprise to n8n and Zapier, with pricing and honest limits.
Glean vs Copilot, compared by Coworker AI: data sources, permissions, agents and pricing, plus a third option for Slack, Salesforce and Google teams.
Coworker AI's enterprise AI security checklist: test permission-aware access, retention, SSO, audit logs, agent approvals and MCP risk before you buy.
Coworker AI explains Snowflake MCP: what the managed server exposes, how to connect Claude, ChatGPT and Cursor, its limits and costs, and where it stops.
Coworker AI explains Salesforce MCP: the hosted MCP servers (GA since April 2026), their tools, setup in Claude, ChatGPT and Cursor, and billing.
Coworker AI explains the Jira MCP server: what Atlassian's Rovo MCP Server can do, how to set it up in Claude, ChatGPT and Cursor, and its limits.
Coworker AI ranks 18 AI tools for product managers by job: feedback, roadmaps, analytics, specs, prototypes and meetings, with prices checked October 2026.
Coworker AI explains Linear MCP: the tools in Linear's official remote MCP server, its read-only options, and setup in Claude, ChatGPT and Cursor.
Coworker AI compares 9 Agentforce alternatives for 2026, including Copilot Studio, ServiceNow, Gemini, Sierra and Decagon, sorted by the job you need done.
Coworker AI compares 10 LiteLLM alternatives, from Bifrost and Portkey to Kong, Cloudflare and OpenRouter, with October 2026 pricing, licenses and hosting.
Coworker AI compares 9 memory MCP servers, from Basic Memory and Mem0 to Graphiti, Zep and Coworker MCP: local, hosted or company-wide.
Coworker AI's guide to AI cost optimization: where token and seat spend goes, 9 levers from model choice to caching, and how to measure cost per task.
Coworker AI explains the context graph: a knowledge graph plus decision traces and time, how it differs from a knowledge graph, and how to build one.
Coworker AI explains the context layer: what it is, how it differs from a semantic layer, RAG and knowledge graphs, and how to build, buy or test one.