Make every AI session build on the last.
Oka captures the reasoning, decisions, and constraints from your AI coding sessions — and serves that intelligence back to every future session. Cross-runtime. Cross-team. Cumulative.
Works with every MCP-compatible tool
Deeper context.
Fewer mistakes.
Faster teams.
When agents are buried in codebases, they can't stay aligned with your team's decisions. Oka frees them to focus on insights, not rediscovery.
From observation to intelligence
Three layers that turn ephemeral AI sessions into durable institutional knowledge.
Every session leaves a trace
Oka observes your AI coding sessions in real time — capturing decisions, constraints, and reasoning as they happen. No manual notes. No lost context.
- Automatic observation via MCP tools
- Decisions with rationale and alternatives
- Constraints and architectural boundaries
Raw signals become knowledge
An LLM-powered consolidation engine processes raw observations into structured learnings — deduplicating, connecting, and surfacing patterns across your entire team's history.
- Automatic pattern detection across sessions
- Contradiction and deviation tracking
- Living knowledge graph, always current
Context meets you where you work
Every new AI session starts with the full weight of institutional knowledge. Hybrid search finds exactly the right context — semantic, lexical, or both — and delivers it inline.
- Cross-runtime, cross-tool compatibility
- Hybrid search (BM25 + vector + RRF)
- Works with any MCP-compatible client
Use JWT rotation over static tokens
94% confidence · 3 sessions
Refresh window must stay at 15 min per ADR-019
auth · constraint
Auth changes break mobile clients without feature flags
2 occurrences · high impact
Frequently asked questions
Everything you need to know about Oka
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