Do I need Open Context Engine if I already use Cursor?

Maybe not — Cursor's built-in indexing is good and self-contained. OCE adds value when you want: any client (Claude Code, CLI agents, CI bots) sharing one measured index; inspectable retrieval (an evidence rail showing what the model knew); compiler-grade symbol lookups; a local-only guarantee you can verify; or team-shared indexes built in CI. Many developers run both.

How is OCE different from GitHub Copilot's context?

Copilot retrieves from open files and IDE-local context; it is excellent for in-editor completion and chat, but its retrieval isn't exposed as a tool to other agents, can't be measured or inspected, and is tied to Microsoft's surfaces. OCE is a standalone engine: hybrid retrieval with published recall numbers, served over MCP to any client, running fully locally.

Why not just use grep (or ripgrep) for codebase search?

Grep is unbeatable for exact strings and should stay in your toolkit — but it cannot answer concept or paraphrase queries ('how does auth middleware work?'), misses synonyms, and returns lists rather than ranked, symbol-expanded context. OCE keeps exact-match strength via BM25 fusion and adds semantic retrieval, symbol expansion and a code graph on top.

What does 'measured retrieval' mean in practice?

Retrieval quality is scored against committed gold sets with recall@k, MRR and nDCG in CI — the same way tests are. OCE publishes its numbers (hybrid recall@10 0.943 on its own codebase) and ships the harness, so you can score it on your own repo. Most alternatives don't publish retrieval metrics at all.

Can I self-host OCE for a team?

Yes. The core is MIT and runs fully locally. For teams, build the index in CI, publish it as an artifact (S3/HTTP/shared drive), and teammates pull it — only their local diff re-embeds. Policy locks can enforce local-only embeddings org-wide.

compare/context-options 1.00

OCE vs Cursor, Copilot & grep

Four ways to give an AI your codebase's context — what each actually does, the tradeoffs spelled out, and when a dedicated engine earns its keep.

The honest framing

Cursor and Copilot are excellent. If their built-in context covers your workflow, keep them — this page isn't a pitch to replace them. The question is narrower: when do you need a dedicated, measurable retrieval engine on top? The answer, in practice, is when any of these matter to you: using more than one client, verifying what the model knew, compiler-grade symbol accuracy, a hard local-only guarantee, or shared team indexes.

Side by side

	Cursor	Copilot	grep / ripgrep	OCE
What it is	AI IDE with built-in codebase indexing	Completion + chat inside your editor	Exact text search	Standalone retrieval engine, served over MCP
Retrieval	Proprietary embedding index	Open files + IDE context	Literal match	Hybrid BM25 + vectors over AST chunks, adaptive fusion
Works with	Cursor only	VS Code / JetBrains surfaces	Any terminal	Any MCP client — Claude Code, Cursor, CLI agents, CI bots
Symbol accuracy	Index-based	Index-based	Exact strings only	Compiler-grade via language server, AST-grade fallback
Retrieval you can measure	Not published	Not published	Exactness only	recall@k / MRR / nDCG on committed gold sets, in CI
Context inspectable	No	No	You see raw lines	Evidence rail: every chunk, score, pin, eviction
Local-only option	Cloud embedding	Cloud service	Local	Local by default, policy-lockable
Team-shared index	No	No	—	Build in CI, publish artifact, teammates pull the diff
Price	$20/mo	$10–39/mo	Free	MIT core free · Team $25/seat/mo

Where each approach wins

Cursor

The whole loop — editor, chat, agent, index — is one polished product. If you live in Cursor and want nothing else, its indexing is good and you should use it. OCE doesn't compete with the editor; it competes for the retrieval layer, and Cursor can even be pointed at OCE's HTTP MCP endpoint to share one index with your other tools.

Copilot

Best-in-class inline completion and low-friction chat where your code already is. Its context is opaque and its retrieval isn't exposed as a tool — so for agents that need programmatic grounding, pair it with an engine rather than asking it to do retrieval itself.

grep / ripgrep

Keep it forever. For exact identifiers, ripgrep remains the fastest tool on earth, and OCE's BM25 channel exists precisely because lexical match matters. What grep can't do: paraphrases, concept queries, ranked context, symbol expansion. The honest workflow is both — rg for exact, OCE for everything else.

OCE

Choose it when retrieval is load-bearing: grounding Claude Code or custom agents (setup in three commands), auditing what the model knew (evidence rail), scoring retrieval quality instead of trusting it (published numbers), or enforcing a local-only guarantee org-wide. It's infrastructure, not an IDE — and it composes with the tools above rather than replacing them.

The deciding question

"Can you state, right now, what your coding agent's context contained at the step where it broke something?" If the answer is no and that bothers you — that's the gap a dedicated, measured engine closes. If it doesn't, your built-in tooling is fine. Both are legitimate answers; only one of them is measurable.

Frequently asked questions

Do I need OCE if I already use Cursor?

Not necessarily — Cursor's built-in indexing is self-contained and good. OCE earns its place when you want multi-client grounding, inspectable and measured retrieval, compiler-grade symbols, or a verifiable local-only mode. Many people run both.

How is it different from Copilot's context?

Copilot's retrieval isn't exposed to other agents, can't be measured, and is tied to Microsoft surfaces. OCE is a standalone engine with published recall numbers, served over MCP to any client.

Should I replace grep with it?

No — keep ripgrep for exact strings. OCE keeps exact-match strength via BM25 and adds semantic retrieval, symbol expansion, and a code graph on top.

Is it really local?

Yes: in-process embeddings, local SQLite, stdio or localhost HTTP. A policy system can lock local-only mode org-wide with signatures that can't be loosened locally.

What does it cost?

The core is MIT and free. Team features (shared indexes, policy locks, seat licensing) are $25/seat/month — details on the pricing page.