Governed context
for AI agents
Relara turns private emails, meetings, docs, tickets, and repos into approved artifacts your agents can use, cite, and publish safely.
- Approver
- dana@relara
- Destination
- agent:retention-copilot
- Redactions
- 3 spans · names
- Revocable
- yes · 30d
Trusted by fast-growing teams building with agents
Your agents need context. Your company cannot just dump everything into memory.
Useful knowledge lives in inboxes, meeting transcripts, docs, issue trackers, and databases. Agents need that context to help, but raw access creates permission, privacy, and trust problems.
Private sources
Email threads, transcripts, and customer notes often contain useful signal mixed with sensitive details.
Messy permissions
Search and RAG systems often lose the difference between who can know something and who can cite it.
Unsafe agent action
Agents should not publish, write back, or brief a team from unreviewed private context.
From private source to approved agent context
- step 1
Connect sources
Bring in emails, meetings, docs, GitHub, Linear, Slack, Drive, Notion, databases, or local files.
- step 2
Analyze privately
Relara extracts decisions, summaries, claims, tasks, evidence, and graph links without making raw sources broadly visible.
- step 3
Review proposals
A proposal shows what was found, why it matters, what stays private, and exactly what approval would share.
- step 4
Grant context
Approved artifacts become policy-scoped context grants for agents, projects, teams, or operating loops.
- step 5
Keep receipts
Every publication or writeback records evidence, approver, destination, redactions, and revocation status.
Everything agents need to use company knowledge safely
Relara connects your sources, analyzes privately, proposes safe artifacts, and gives agents only the context they are allowed to use.
Governed Context
Turn scattered work data into approved artifacts, graph context, and receipts your agents can trust.
- Private by default
- Evidence-backed artifacts
- Policy-scoped agent context
Source Connectors
Bring in emails, meetings, docs, tickets, repos, Slack threads, and databases without moving your team into a new workspace.
Private Analysis
Extract decisions, claims, tasks, summaries, and evidence while raw sources stay protected.
Policy & Redaction
Apply inherited permissions, sensitivity checks, redactions, and approval rules before anything is shared.
Context Grants
Give each agent, project, team, or operating loop only the approved artifacts it can use and cite.
Receipts
Record what was approved, who approved it, where it went, and which evidence supported it.
Developer SDK
Use Relara as the governed context layer for your own agents with local fixtures, connector manifests, and MCP-compatible tools.
Built for teams putting agents into real work
Developer teams
Give coding, product, and support agents approved context from repos, issues, docs, and meetings without exposing everything.
Operators & founders
Turn calls, emails, and customer signals into reviewed project memory and next actions.
AI platform teams
Add policy, provenance, proposals, and receipts to internal agents without building the governance layer from scratch.
Use Relara as the governed context layer for your agents
The standalone version is planned as a local-first developer package with a CLI, TypeScript SDK, connector manifests, policy fixtures, and MCP-compatible tools.
Start local. Prove the trust loop. Add managed connectors when your team is ready.
$ relara dev seed transcript-decisions→ 3 fixtures loaded · graph built in 240ms$ relara analyze ./fixtures/transcript.md --target project:demo→ proposal pr_a91 ready · 5 artifacts, 2 redactions$ relara proposals approve latest→ approved · receipt rcpt_a91 written$ relara context get --target project:demo --agent demo-agent→ 5 artifacts, evidence-linked, revocable
Designed for trust before scale
- Inherited permissions where available.
- Human approvals before risky sharing.
- Redaction and sensitivity gates.
- Evidence-backed artifacts.
- Context grants for agents and operating loops.
- Receipts for publication and writeback.
Relara is not another place to move your company knowledge. It is the governed layer between the tools you already use and the agents you want to trust.