The intelligence layer for AI-driven development.
Versioned project knowledgebases that function as the shared cognitive layer for your team and your AI agents. Stop regenerating context; start compiling it.
Git tracks what changed. Knowiki tracks why.
The fatal flaw of modern engineering is relying on scattered PR descriptions, stale wikis, and human memory to maintain architectural context.
> ...silence...
System Architecture
How knowledge flows from scattered sources into a cohesive cognitive engine.
Raw Sources
Connect Git repos, Notion pages, Slack channels, and Linear tickets. Knowiki ingests unstructured reality.
The Knowledgebase
An immutable, version-controlled graph of concepts, decisions, and codebase mappings, updated continuously via AI compilation.
The Schema
Expose a structured, semantic API to your agents. They query the schema instead of reading flat markdown files.
No more manual CLAUDE.md.
Stop pasting the same system prompts and architecture rules into every chat session. Point your agent at the Knowiki endpoint, and it instantly syncs with your project's entire historical and structural context.
- apiREST & GraphQL endpoints for agent consumption.
- memoryAutomatic token-optimization for large codebases.
- syncReal-time sync with IDE extensions (Cursor, VSCode).
Waiting for agent connection...
Connection established. Agent context is fully synced.
KB Health Monitoring
Knowledge degrades. Knowiki actively monitors your documentation vs codebase reality, flagging contradictions before they confuse your team.
Contradiction Detection
Knowiki detected that `docs/auth.md` claims JWTs expire in 1hr, but `src/config/auth.ts` sets expiration to 24hrs.
Staleness Detection
SCANNINGCoverage Gaps
Stop building in the dark.
Build with full context.
Join the teams using Knowiki to synchronize their human developers and AI agents into a single, unified cognitive process.