Guru and Agently both promise a single, trusted source of company knowledge that AI can use. They get there from opposite directions. Guru is a verified knowledge base — humans attest that each card is still true — with AI search layered on top. Agently is a company brain that stays current on its own and then acts on what it knows. One keeps answers trustworthy through human review; the other keeps them current through a temporal graph and puts an agent to work on top.
If you're a small team choosing between them, the real question isn't "which has better search." It's whether you need verified answers or an AI that also does the work.
What Guru does well
Verification you can trust. Guru's signature feature is the verification loop: a subject-matter expert marks a card as verified, and Guru re-prompts them to re-verify on a schedule. For support and ops teams that live or die on answer accuracy, this is genuinely valuable — you know a "verified" answer was confirmed by a human recently.
AI search over trusted content. Guru layers AI answers over its cards plus connected sources like Slack, Google Drive, and Salesforce, so people ask a question and get a sourced answer instead of hunting.
It's open over MCP. Guru ships a remote MCP server, so external AI tools can query its knowledge — a real point in its favor for openness.
Mature and governed. Analytics on knowledge gaps, permissions, and browser-extension surfacing make it a solid fit for a larger, process-heavy team.
Where Guru reaches its limits for a startup
These are constraints of its design, not knocks on the product:
Verification is human labor. The verification loop is only as good as the people maintaining it. At five people, "someone re-verifies every card on schedule" is a real recurring cost, and the moment people stop, trust decays. A company brain that expires facts automatically shifts that burden off your team.
It answers; it doesn't act. Guru finds and surfaces knowledge. It doesn't send the follow-up email, prep the call, or update the CRM. You still take the answer and go execute it in another tool. For a small team, that copy-paste gap between "found it" and "did it" is where the hours go.
Pricing went sales-gated. Guru pulled public pricing in 2026; even the entry tier now routes through a sales conversation, with the previously self-serve plan reported around $25/seat with a 10-seat minimum, and the strongest AI features reported to sit in the sales-led enterprise tier. For a team of five that wants to start today, that's friction.
How Agently is different
Agently starts from the small-team premise. The brain is a temporal knowledge graph built continuously from your uploads and connected tools — facts carry validity, so when your pricing changes, agents can tell current truth from superseded history without anyone re-verifying a card by hand.
On top of that brain, Jarvis — one orchestrator that delegates to specialist sub-agents behind the scenes — plans and executes real work through your connected tools, with your approval. Answering is the floor; the point is that the same knowledge gets used. It's self-serve from $29/mo, no seat minimums, no demo, and the brain is queryable from Claude, ChatGPT, and Cursor over MCP on every plan.
Agently vs. Guru: side by side
| Guru | Agently | |
|---|---|---|
| Core model | Verified knowledge base + AI search | Company brain (temporal graph) + orchestrator that acts |
| Stays current via | Human verification, on a schedule | Facts carry temporal validity, expire automatically |
| Acts on knowledge? | No — answers only | Yes — Jarvis executes across tools, with approval |
| Buyable by a 5-person team | Sales-gated; reported 10-seat minimum | Self-serve from $29/mo, no minimum |
| Open to external AI (MCP) | Yes (best features reported enterprise-gated) | Yes, all plans |
| Best for | Support/ops teams needing verified answers | Small teams wanting shared context that also does work |
Guru pricing/packaging is buyer-reported as of August 2026.
Can they work together?
Yes. If your team already runs on Guru's verified cards, you can keep them as a trusted source and connect Agently for the execution layer — the outreach, scheduling, and CRM updates Guru doesn't do. Over time you'd decide whether one brain should own both.
Who should stay with Guru
- You're a support or ops team whose top priority is verified, human-attested answers.
- You have someone who will own the verification workflow long-term.
- You're a larger, process-heavy org where the sales-led motion is normal.
Who should consider Agently
- You're a small team that wants to start today without a demo or seat minimum.
- You're tired of copying answers into other tools — you want the AI to act, not just find.
- You want knowledge that stays current automatically, not through manual re-verification.
- You want your company context reachable from Claude, ChatGPT, and Cursor over MCP on any plan.
