Project memory for cloud coding agents
- MCP
- API
- Web
Today agent knowledge is a silo on every team. Briefings stay local, the next agent rebuilds them, and you pay for those tokens again and again. Supervela is the shared project memory that your team retrieves against, grounded in what you already wrote and what was decided in meetings. Teams, Enterprise, and Dedicated plans include a software factory that briefs your cloud agent from that memory and takes Jira issues through to a merged pull request.
Cap requests per API key, return 429 with a retry hint, and keep the queue worker idempotent. Acceptance criteria came from the linked ticket.
- KAN-142 · Jira
- Ingest limits · Confluence
- Platform decisions · Meeting
How Supervela works
One memory for the project, shared by the team. The next agent starts from what you already know.
See if a story, task, or bug is AI-ready before an agent spends the tokens.
A brief from that memory, done by a cloud agent. You get a pull request back.
Turns a Jira issue into a pull request. Supervela manages your Jira board on autopilot.
Ask the project memory in the console, or from your editor. Same answers. Available on Teams, Enterprise, and Dedicated.
n8n, Make, and your own tools can use the same memory. Read on Individual and above. Write on Teams and above.
Find what the team wrote, by the words or by the meaning.
Nothing to install on a laptop. It runs in AWS, on Aurora Postgres and pgvector.
Another workspace cannot see yours. Row-level security in Postgres, and Cognito sign-in, keep it that way.
Plans
One knowledge store. Connect Jira, Confluence, GitHub, and Drive meeting folders. Run cloud agents.
30-day trial.
- Knowledge base
- Claude / Cursor cloud agent integration
- Atlassian / GitHub / Google Drive integration
- Single seat, single project
- 5 AI jobs a day, 40 a month
- 1 transcript upload a day
£15 / month
For one person who uses it every day.
- Semantic search
- Read API
- 1 seat
- 2 projects
- 50 AI jobs a day, 200 a month
- 5 transcript uploads a day
£25 / seat / month
One store for a small team and the agents they send work to.
- Chat with the knowledge store
- MCP & Ingest API
- 2–5 seats, 10 projects
- 100 AI jobs a day, 400 a month
- Software Factory
- 15 transcript uploads a day
Need more than 5 seats or 10 projects? Contact us for Enterprise and Dedicated plans.