Coding agents
Claude Code, Cursor, Codex
Praana turns Slack, docs, tickets, meetings, and code into actionable knowledge — for people, organizations, and the AI agents working alongside them.
Claude Code, Cursor, Codex
Slack and Teams answers
weekly pulse, risks, decisions
REST, GraphQL, webhooks
Slack, meetings, decisions
PRs, tickets, reviews
RFCs, ADRs, runbooks
asks, escalations, pages
Threads, PRs, RFCs, tickets, meetings, incidents, and customer notes enter through existing permissions.
Services, owners, decisions, customers, incidents, commitments, and source links become one permission-aware graph.
Praana detects drift, resolves conflicts, ranks evidence, senses risk, and turns context into useful next steps.
MCP, Slack, Teams, manager rituals, leadership briefings, and custom apps draw from the same layer.
Decisions live in Slack threads. Customer asks live in Salesforce comments. Incident scars live in retros. Architecture context lives in someone's head. Most of what your team knows lives between the tools, never in any one of them.
Praana turns that scattered work into cited organization memory, then surfaces it to everyone, wherever they work.
Praana found a high-confidence prior incident: PR #4351 attempted this exact change in May 2024 and was reverted within 48 hours…
PR #4351 attempted exactly this on 2024-05-14 and was reverted within 48 hours (~840 stale-session incidents across 3 enterprise customers — in-process cache keyed only on user_id served stale tokens after rotation). Team has converged on a different approach in #design-auth on 2026-04-27 — consensus reached, not yet implemented. How do you want to proceed?
Move session-token validation to a request-scoped memo with Redis hot-path.
Engineers ask in their IDE. Managers ask in Slack. Leaders ask in their browser. Coding agents ask over MCP. One context layer answers all of them. Pick a role; click any feature for the spotlight.
Praana reads the work sources you connect — Slack threads, PRs, RFCs, and incidents — before you have to. Ask in your IDE, terminal, or channel, and your coding agents read the same memory over MCP.
Learn moreWired into Claude Code, Cursor, Codex, your CLI, and your CI through the same context layer. The point is not another chatbot; it is cited context where agents already work.
Stop. ADR-017 replaced webhook-gateway with Caldera in Apr 2026 to fix INC-1129. Removing it now re-introduces the same failure mode.
Use caldera-client from PR #1102 instead. Want me to adapt the refactor?
That decision was made twice last quarter. Praana surfaces both — threaded, with the RFC and the customer asks — the moment the question is asked again. You edit, you don't author from scratch.
pricing.tier_v2. Don’t roll back through env vars; flag-only per ADR-082. (Asked twice last quarter.)Praana flags PRs that contradict a prior ADR or RFC while review is still cheap. The "we already decided this" loop gets surfaced with the receipt attached.
main from refactor/inline-webhook Prior decisions, ADRs, and incidents surface inline as you write the code that touches them. No tab-switching. No Slack archaeology.
caldera.dispatch INC-1129 Praana reads the PRs, threads, standups, and on-call signals you connect. Status meetings shrink. 1:1s become coaching. Team-level capacity is one glance — never individual surveillance.
Learn morePraana reads what shipped, what slipped, and where the contention is — across PRs, threads, and standups, as it happens. Read it Monday morning instead of running the meeting Monday afternoon.
You're not the routing table. Praana surfaces the correct prior decision (and which team made it) so unblocking happens without going through your DMs. 1:1s shift from status to growth.
pricing.tier_v2, no env-var rollback per ADR-082. Your DM stayed quiet.Team-level signals — review load, on-call density, after-hours work — surfaced as cohort patterns, never as individual surveillance. Praana is designed around team health, not tracking a person's hours.
Review pressure is clustering around the same delivery lane. No individual names, no surveillance — only team-level work signals.
11 customers asked for X. Praana shows whether engineering is doing X — or hasn't, and why — with the threads, RFCs, and PRs as receipts.
No more polished slides at the All-Hands diverging from the ground truth. Praana reads the repos — and rolls every initiative up to the work actually moving it, by team, by org, by quarter.
Learn moreWalk into staff meetings already aligned on reality — what shipped, what slipped, what is at risk. Spend the hour on the calls where you can drive strategy.
Every initiative threaded to the threads, RFCs, and PRs that move it. Roll-up by team, by org, by quarter. No status decks required.
62% complete · still on track for May 13.
Architectural calls with full receipts: which team decided, why, when, with what evidence. Years of org memory, queryable in one ask.
RFC-044 is the 4th multi-region attempt. The first three were deferred for different reasons.
When two orgs solve the same problem in parallel — or pull in opposite directions — Praana surfaces it while the work is still active. Not at the next planning offsite.
Every modern company is deploying agents — support, sales, coding, internal. They all share one failure mode: they confidently make things up. Praana is the MCP context server for all of them. Same shipped-vs-promised reality, with receipts.
Learn moreCursor, Claude Code, and Copilot read every decision and the why behind it. The agent codes with the same context your senior engineers carry in their head.
Before the renewal call, your sales agent surfaces every commitment ever made to the account — what shipped against it, what slipped, who owns what's still in flight.
Every reply from Intercom Fin, Zendesk AI, or Decagon cites the live ticket, PR, and release behind it.
Vendor agents and the ones you build on Anthropic SDK, OpenAI SDK, or LangGraph all query the same workspace context. Per-agent rate limits, audit logs, no duplicate retrieval to maintain.
// One MCP server. Any framework. import { Anthropic } from "@anthropic-ai/sdk"; import { connectMcp } from "@praana/mcp"; const praana = await connectMcp({ url: "https://acme.praana.app/mcp", workspace: "checkout-platform", scope: "read", // read-only by default }); // Praana attaches as a tool. Your agent decides when to call it. const reply = await anthropic.messages.create({ model: "claude-sonnet-4", tools: [...praana.tools], messages: [{ role: "user", content: prompt }], });
Praana reads through your existing OAuth scopes — every answer carries a source link back to where the truth lives.
Coming next: Salesforce, Intercom, Sentry, Datadog, Stripe, Figma — and more.
Request a connector →Praana is built for engineering orgs that care about permissions, provenance, and deployment shape. We will be precise about what is live today and what is on the near-term roadmap.
TLS for connector sync, app traffic, and API access. Encryption is table stakes; we treat it that way.
Praana connects through your existing OAuth scopes and preserves source-system access boundaries in the product.
Cloud first. For teams with regulatory needs, we will work through private networking or dedicated deployment requirements early.
SOC 2 Type II is the target. We can walk through current controls and the roadmap during security review.
The advantage compounds with every cited decision, incident, and customer promise. The longer Praana runs, the sharper your shared memory becomes.
We’re rolling Praana out with a small set of teams to start. Get on the list — we’ll reach out personally from admin@getpraana.com.
We read every signup and reply personally.