buddhiAI01
Policy before recall
RBAC checks the person, agent, scope, and clearance before any context moves.
ALLOW / DENYGoverned memory for AI agents
The shared brain your agents can be trusted with.
Buddhi AI is the permission, citation, and audit layer between your people, your AI agents, and company knowledge. Every answer is scoped, sourced, and ready to explain.
policy evaluated · 4 ms3 sources citedaudit · recall_8b2f
The premise
Most AI tools remember everything. Buddhi remembers what this person should be allowed to use.
The governed loop
Five things a company brain must get right.
Permission is not a setting at the edge of the product. It follows every memory, decision, conflict, and workflow through the system.
02
Memory with receipts
Every answer keeps its source, owner, freshness, and deterministic facts.
CITED / SCOPED03
Audit every move
Reads, writes, denials, redactions, and workflow runs leave an inspectable trail.
LOGGED / EXPORTABLE04
Resolve the disagreement
Authority makes the winner clear while dissent stays linked and retained.
WINNER / DISSENT05
Run the useful work
Turn governed memory into cited standups, digests, and team workflows.
TRIGGER / DELIVERGovernance in actionOne question.
One question.
Three different answers.
The same recall request is evaluated against who is asking. Buddhi filters, redacts, or denies before context ever reaches the model — and writes the decision to the audit trail.
Default deny
Anything outside scope is refused, never approximated.
Redaction aware
Sensitive fields are stripped while the answer stays useful.
Every decision logged
Allow, deny, and redact events are inspectable later.
buddhi / recall / launch-planLIVE
Request · recent launch plan
“What are we shipping next, and what is still blocked?”
Policy passed for this workspace
Allow + citeEngineering context is available. Buddhi returns the launch notes, keeps private revenue fields out, and attaches the source trail.
decision written to the immutable audit trail as recall_8b2f
How it works
Useful memory is a chain of accountable decisions.
Buddhi gives your team one place to collect knowledge, govern access, and see the reasoning behind every recall.
01
Collect the working memory
Bring in the decisions already living in GitHub, Slack, docs, and the command line.
02
Give every memory a boundary
Scopes, clearance, ownership, and freshness make context usable instead of mysterious.
03
Return an answer with receipts
Agents get the context they need, with the citation and audit log your team can review.
REQUEST PIPELINELIVE / 04
01 / WHO
Lina · Engineer · Platform
02 / WHAT
Launch plan · engineering scope
03 / POLICY
engineering-read · revenue fields redacted
04 / RESULT
Allow context + cite 3 sources · recall_8b2f
One gateway, every surface
Meet your agents where they already work.
Use Buddhi from the terminal, inside your coding agent, or through the API. The policy stays the same on every surface.
buddhi / agent sessionCONNECTED
$buddhi recall --scope engineering
>What changed in the launch plan?
allowed / 3 memories matched
Launch moved to Thursday after the API review. The rollback checklist is owned by Lina. Revenue projections are excluded from this scope.↳ github / launch-plan.md · 4 min ago · 2 more sources
Launch moved to Thursday after the API review. The rollback checklist is owned by Lina. Revenue projections are excluded from this scope.↳ github / launch-plan.md · 4 min ago · 2 more sources
$audit event recorded: recall_8b2f
$
AI workflows
Turn governed memory into useful work.
One prompt becomes a repeatable team ritual: permitted memory in, cited output out, every run recorded.
TRIGGER
Every morning, 09:00
The standup workflow wakes up on your team's rhythm.
RECALL
Permitted memory only
Role and scope checked before a single fact is read.
DELIVER
Cited standup in Slack
Posted with sources attached, ready to inspect.
every run leaves an audit eventworkflow_run_8b2f · 09:00:04 · 41 memories evaluated
Quick-start rituals inside the producthover to pause
Daily Team Standup
What every team shipped yesterday and today’s priorities — no sync meeting needed.
Daily · 09:00#standup
Weekly Investor Update
Founder-ready Friday draft: key metrics, milestones shipped, and blockers.
Fridays · 17:00Email digest
Compliance Digest
Weekly recap of regulatory and policy decisions — GST, DPDP, filings — so nothing slips.
Fridays · 17:00Email digest
Customer Support Pulse
Recurring customer issues and top feature requests, ranked by how often they came up.
Daily · 09:00#support
Sales Pipeline Recap
Deal movement, new leads, and follow-ups owed — the honest Friday funnel.
Fridays · 17:00#sales
Why Buddhi
Not another chatbot. A quiet operating layer.
When context becomes part of the workflow, teams move faster without flattening every boundary into “yes” or “no.”
CAPABILITY
BUDDHI
RAW DOCS
GENERIC RAG
Role-scoped recallAnswers match the person asking.
Yes
—
—
Deterministic cited factsMetrics do not become model guesses.
Yes
—
—
Conflict authorityDissent stays visible, winners stay clear.
Yes
—
—
Audited writesNew knowledge is inspectable.
Yes
—
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Connectors
Bring the whole team memory with you.
Start with the tools where decisions already happen. Buddhi keeps the connective tissue visible, searchable, and governed.
READY
GitHub
PRs, issues, and decision threads as scoped memory.
READY
Slack
Channels mapped to scopes, pulled on demand.
READY
Google Workspace
Docs and decisions with owners and freshness.
READY
CLI / MCP
One gateway for coding agents and power users.
FAQ
Frequently asked questions.
Everything else lives in the docs — or ask us directly at hello@askbuddhi.com.
Buddhi is a governed shared memory layer for teams and AI agents. It connects working knowledge to identity and policy, then returns the right context with a source trail.
A vector database helps retrieve similar text. Buddhi adds the layer around recall: who is asking, what scope they have, what can be redacted, and how the result is explained.
When two sources disagree, Buddhi resolves by authority — a decision doc outranks a stale thread — and keeps the dissenting view linked, so context stays honest instead of averaged.
Yes. Buddhi sits behind MCP-aware agents, the CLI, and direct API workflows so the same policy follows the work, whatever surface it happens on.
Yes. Start with one team workspace, connect the sources that matter, and expand scopes as your shared memory becomes more useful.
Private beta · August 2026
Get early access to Buddhi AI.
We’re onboarding a small group of design-partner teams. Join the waitlist, or book a 15-minute call and we’ll show you a live access denial on your own scopes.
Build with better memory.
Give your agents the context they need, and your team the confidence to let them use it.
free workspace · connect your first source in minutes