Five capabilities. One compounding loop. Gyri is the only platform with all five at ●.
Related: Agentic knowledge base · Why Gyri MCP beats API wrappers · Best for GTM (2026)
Every platform gets a ● ◐ ○ on each pillar below. Same five columns as the comparison table — read these cards first, then scan the matrix.
Federate live data → write cited conclusions → recall them on the next agent run — across every team.
Rows = platforms. Columns = the five pillars above. Hover any ● ◐ ○ for why.
| Platform | Cluster |
|---|
Harnesses score low on cited compounding memory — connect Gyri MCP instead of ripping out your IDE. See why Gyri MCP beats API wrappers.
Durable cited substrate + semantic recall — not ephemeral reports that reset each session. Federated search →
LLM-first, citation-native, agent recall — no ontology project or forward-deployed engineers. Knowledge graph →
The memory substrate Cursor, Zapier, and LangGraph bolt on — connect via MCP, keep your runtime. MCP integration →
Hasura federation+compute and Mem0 recall are adjacent — Gyri is the closed loop both point toward. See the matrix →
Federated, cited, typed — and agents that remember what they already thought.
Search and synthesis tools excel at cited answers across sources. Gyri adds semantic recall of prior typed conclusions, federated compute on live operational data, and agent-native MCP delivery in one horizontal substrate.
Those harnesses are how teams run agents day to day. Gyri is what those agents remember — federated, cited, compounding company context over MCP. Connect Gyri MCP; keep your IDE or CLI runtime.
Hasura PromptQL is closest on federation plus compute. Mem0 is closest on agent memory layer. Glean and Causaly lead on cited enterprise or domain evidence. None productize the full closed loop: federated query → cited conclusion → compute → semantic recall in the next run.