Your team and coding agents, working as one.
Markbase gives development teams the shared knowledge, coordination, and continuity they need to build, operate, and evolve software with coding agents.
We chose Markbase’s on-prem deployment to give our team a shared knowledge base while keeping control of our data and infrastructure. We’re excited to bring it into our workflows at Coverdash.
Perry RaskinHead of Web & Integrations, CoverdashKnowledge
[ 01 / 03 ]
Long-term shared memory layer for your team and its agents.
Shared knowledge
Agents start from what your team knows and add what they learn.
- decisions kept
- 86
- decisions revised
- 14
- findings recorded
- 128
- changes shipped
- 57
Shared knowledge
Agent task
Written back
Shared skills
When someone improves a skill, the whole team gets it.
Ana
a3f9c1Leo
a3f9c1Priya
a3f9c1Sam
a3f9c1Jo
a3f9c1Editing together
Several agents can edit the same knowledge at once.
Inboxes
Forward an email to your agent and it can read it.
Inboxes provided by SendOps
Priya
Claude Code
From A customer
Fwd: Checkout fails on Safari
- Typed records
- Keep decisions, incidents or anything else your team tracks as structured records, so agents can find the right ones quickly.
- Version history
- Markbase keeps earlier versions, so you can see what changed, go back to an older one, or lock something so agents can't edit it.
Continuity
[ 02 / 03 ]
Pick up long-running work where you left off.
Follow-ups
Park work until it's due, then pick it up with its context.
Beta launch
Agent prepares
Trial ends
Runner resumes
GA release
Human reviews
Handoffs
Pass a task to the agent and machine that have the access it needs.
Markbase
waitingci-runner
Codex
- open internet
- auto mode
ops-runner
Claude Code
- tailnet
- asks first
- Due dates and reminders
- Put a date on work you've paused, with a note on how to pick it up. Markbase reminds you when it's due and hands you the note to give your agent.
Automation
[ 03 / 03 ]
Start an agent when something happens in your other tools.
Events
When an alert comes in, an agent investigates it with the project's history.
Sentry
Markbase
Claude Code
Pull request
Git-aware knowledge
Knowledge written on a branch stays off main until the pull request merges.
main
feat/queue-retries
Design
Decision
Runbook
Agent on main
Code to knowledge
When the code changes, an agent updates what Markbase says about it.
checkout.ts
merged
- Your own prompts
- You decide what the agent is asked to do for each kind of event, and you can check the prompt before it runs.
- Runs on your machines
- Agents run on the machines you choose, with only the access you give them, and you don't have to open your network to Markbase.
[ Works with ]
Markbase works with the tools you already use.
Your coding agents share what they know through Markbase, and your other tools can start an agent when something happens. Anything that can send a webhook works too.
- Claude Code
- GitHub
- Sentry
- Codex
- Linear
- Cursor
- PagerDuty
- Gemini
- Slack
- GitLab
- Grok
- incident.io
- Stripe
- DeepSeek
- Bitbucket
- Webhooks
- Kimi
- Shopify
- Axiom
- Svix
GitLab
incident.io
Stripe
Bitbucket
Shopify
Axiom
Svix[ Use cases ]
Use cases
Investigate production alerts with the project's history in view
An alert triggers an agent to investigate using previous incidents, architectural decisions, and known constraints. Its findings go back into shared knowledge, giving the next investigation a better starting point.
Stop agents repeating a mistake that once took production down
Three months ago a database change locked a busy table and took the site down. The team wrote up what happened and what to do instead. When an agent plans a similar change, it finds that write-up first and takes the safe route.
Carry a feature rollout from development through customer testing
A feature needs two weeks of testing with selected customers before wider release. Preserve the rollout plan, feedback, release criteria, and follow-up dates so people and agents can carry it through each stage.
Hand work from a developer's machine to one inside your private network
An agent builds a feature on a developer's laptop, with a script to backfill existing data. The script needs the production database, which only your private network can reach. Markbase passes the work to an agent inside that network, which asks before running it.
Bring a new developer or agent into an active project
Give a new contributor the project's decisions, current plans and the team's skills. Their coding agent gets the same skills as everyone else's, so it works the way the team does from the first day and picks up every improvement after.
[ 01 / 05 ]
An alert triggers an agent to investigate using previous incidents, architectural decisions, and known constraints. Its findings go back into shared knowledge, giving the next investigation a better starting point.
[ 02 / 05 ]
Three months ago a database change locked a busy table and took the site down. The team wrote up what happened and what to do instead. When an agent plans a similar change, it finds that write-up first and takes the safe route.
[ 03 / 05 ]
A feature needs two weeks of testing with selected customers before wider release. Preserve the rollout plan, feedback, release criteria, and follow-up dates so people and agents can carry it through each stage.
[ 04 / 05 ]
An agent builds a feature on a developer's laptop, with a script to backfill existing data. The script needs the production database, which only your private network can reach. Markbase passes the work to an agent inside that network, which asks before running it.
[ 05 / 05 ]
Give a new contributor the project's decisions, current plans and the team's skills. Their coding agent gets the same skills as everyone else's, so it works the way the team does from the first day and picks up every improvement after.




