Corunner is an AI coworker that runs alongside every employee, helping them find answers, automate work, and accomplish more every day.
No new workflow to learn. Corunner works where your team already works.
The information people need to do great work is scattered across messages, tickets, documents, code, meetings, dashboards, and the heads of other teammates.
Coding agents can help engineers move faster, but requirements, decisions, ownership, release context, and operational history remain scattered across code, tickets, docs, conversations, logs, and monitoring tools. When production breaks, engineers can spend hours reconstructing what changed before they can narrow the root cause and start fixing it.
Engineering decisions stay buried across tools and people.Support needs current answers about features, fixes, known issues, and recent changes without interrupting engineering every time a ticket arrives.
Slow internal knowledge becomes slow customer resolution.Sales needs accurate capability details, implementation context, and customer relevant answers while the conversation is happening, not after an internal handoff.
Every knowledge gap adds friction to the deal.Useful context is scattered across old threads, tickets, documents, pull requests, meetings, and teammates.
New hires need the company story without reconstructing it from scratch.Months later, teams remember what exists but forget the discussion, tradeoffs, rejected approaches, dependencies, and decisions that shaped it.
Teams need durable organizational memory instead of rediscovering old decisions.Coding agents can read code, but the constraints that matter may live in active decisions, requirements, prior changes, blockers, failed checks, and governed company memory.
Agents build better when organizational context travels with the code.Your company creates product knowledge constantly. The problem is getting the right part of it to the right person at the moment they need it.
Corunner connects the systems your company already relies on, understands the context inside them, and becomes an AI coworker your team can ask, delegate to, and work with from the places they already spend their day.
Corunner is not just another chatbot. It understands company context, coordinates across tools, remembers what matters, and helps move work forward.
Ask a natural language question and Corunner finds the relevant context across conversations, tickets, docs, code, and connected systems. Get the answer and the source without hunting through tabs. For production issues, Corunner can connect logs, errors, deployments, recent code changes, and work history so engineers can narrow the likely root cause in minutes instead of spending hours stitching evidence together.
@Corunner why are checkout requests failing after today’s deployment?
I connected the strongest signals across the incident context. The token refresh path changed in the latest auth deployment and is the most likely cause.
Keep important decisions connected to the discussions and work that created them, so people can understand what changed, who decided it, and why.
Business rules stay in domain services. The gateway owns transport, authentication boundaries, and request routing.
@Corunner why did we choose this approach, and is it still active?
Yes. ADR-012 is still active. The decision was made to keep transport concerns separate from business logic and avoid duplicating policy across entry points.
Create or update tickets, message owners, schedule meetings, and trigger supported workflows from the same conversation where the decision happens.
Bring together signals from projects, code, conversations, and operational tools so risks and dependencies do not stay hidden until the next status meeting.
@Corunner what can block today’s release?
Two items still need attention before the release can proceed.
Run standups, collect updates, summarize responses, follow up with non responders, and handle recurring internal workflows without someone manually chasing the team.
Corunner can work through your existing collaboration channels, so employees do not need to adopt another daily dashboard just to get value from AI.
@Corunner summarize the latest progress and what’s left.
Implementation is in progress. PR #204 is open for the Asana MCP V2 integration. The remaining work is review, merge, and final connection validation.
Corunner checks proposed actions against available evidence, confidence, and your organization’s policies. Routine, low-risk work can proceed when allowed; other actions become recommendations or wait for approval.
When review is needed, Corunner pauses before acting. The request explains what it proposes, why, and who or what may be affected. A designated approver, with a fallback where configured, can approve or reject it in connected chat or on the approvals page. Approval resumes the action; rejection stops it.
People retain the final say on consequential work while routine tasks keep moving. Requests and decisions are recorded, making each action easier to understand and trace.
@Corunner create a Linear ticket for the Asana MCP follow-up and assign it to Sushant.
I’m ready to create the ticket. Review the action before I execute it.
After creation, I’ll post the ticket link back in this thread.
Corunner exposes a hosted, OAuth protected, read only MCP server for engineering memory. Compatible AI coding agents can ask for relevant decisions, requirements, code history, blockers, failed checks, and a change check without being wired directly to every underlying company system.
corunner.get_context8 relevant itemscorunner.check_changeCorunner helps each team work faster while keeping everyone connected to the same company reality.
Ask for project status, risks, decisions, blockers, and follow-ups without assembling updates manually.
Connect tickets, code, conversations, and logs to understand blockers and release context faster.
Turn recurring coordination into workflows, reminders, summaries, scheduling, and cross-tool actions.
Give people fast answers from the systems they are allowed to access.
You do not need to redesign how your company works. Connect the tools you already use and bring Corunner into the flow.
Bring in conversations, project work, code, documents, files, calendars, and operational systems through the integrations your company already uses.
It links relevant work, ownership, decisions, history, and evidence while respecting the access boundaries of the connected workspace and user.
Engineers, Support, Sales, and new hires can get grounded answers through the collaboration and AI tools that are already part of their workflow.
Create work, follow up, coordinate recurring workflows, or ask for approval when an action needs human judgment.
The context created while building the product becomes useful to the people supporting it, selling it, onboarding into it, and building the next version. One shared intelligence layer means fewer repeated explanations and faster work across the company.
Corunner is designed for company environments where access, approvals, isolation, and auditability matter as much as intelligence.
Respect the permissions and roles your organization defines.
Keep company data and actions scoped to the right workspace.
Require approval when an action needs judgment or carries higher impact.
Maintain visibility into important actions and operational activity.
Corunner is an AI teammate that unifies your company's collective intelligence across connected tools. It helps engineering, support, sales, new hires, and other teams find grounded answers, understand product context, coordinate work, and take supported actions.
Search retrieves information. Corunner connects context across sources, reasons over the relevant evidence, preserves organizational memory, and can move from an answer into supported actions and recurring workflows.
No. Corunner is designed to work alongside the collaboration and business tools your team already uses. The web app can handle administration and memory review, while day to day value can happen in existing workflows.
It gives customer facing teams access to current product context such as ownership, decisions, work status, documentation, and relevant engineering evidence, so they can answer more questions without waiting for an internal handoff.
Engineers can use Corunner to understand requirements, decisions, ownership, blockers, history, and operational context. Corunner Engineering Memory MCP also gives compatible coding agents permission aware access to organizational context that a repository alone cannot provide.
Yes. Depending on the connected integration and permissions, Corunner can create or update work, coordinate follow ups, send supported messages, schedule, and run recurring workflows. Important actions can be placed behind human approvals.
Corunner is designed around workspace isolation, role based access, integration permissions, approvals, and auditability. The intent is that users and agents only receive context and actions appropriate to their authorized workspace access.
Start where product knowledge is already creating friction: engineering coordination, support escalations, sales product questions, onboarding, recurring standups, or searching for past decisions. Connect a focused set of tools first, then expand as the shared context becomes useful across more teams.
Connect the company context your team already has. Turn it into answers, actions, and momentum.