Ctx vs Voyage AI

Side-by-side comparison of features, pricing, and ratings

Analysis reviewed Live tool data as of 2026-09-01
Cross-checked through our multi-step verification ·
Saved

At a glance

DimensionCtxVoyage AI
PricingFree (open-source, MIT)Contact sales (enterprise pricing)
Primary Use CaseLocal search over coding agent session historyDomain-specific embedding & reranking for enterprise RAG
Key Strength50× token-efficient, natural language search, no cloud32K token context, low-dim vectors, fine-tuned models
DeploymentLocal SQLite, Rust CLI, no background serviceCloud API (SOC 2/HIPAA)
IntegrationsClaude Code, Codex, Cursor, Copilot CLI, Gemini CLI, MCPVector databases, LLMs
Target AudienceDevelopers using multiple coding agentsEnterprises needing high-accuracy retrieval on private data

Voyage AI and Ctx serve entirely different needs. Voyage AI is an enterprise-grade embedding API for RAG pipelines, ideal for finance/legal teams needing long-context, low-dimensional vectors with compliance. Ctx is a free, open-source CLI tool for searching coding agent history locally—perfect for developers who want to retain context across sessions without cloud dependency. Choose Voyage for production RAG accuracy; choose Ctx for agent workflow memory.

Try CtxTry Voyage AI
Ctx
Ctx

Instant recall for coding agents: search local agent history across 32+ providers

Visit Website
Voyage AI
Voyage AI

Specialized embedding models and rerankers for high-accuracy enterprise RAG, with 32K-token context and multimodal support.

Visit Website
Pricing
Freemium
Contact Sales
Plans
$0/mo
$20/mo
—
Popularity
4 views
7.4k views
Skill Level
Intermediate
Intermediate
API Available
Platforms
CLI
WebAPI
Categories
💻 Code & Development📡 LLM Observability & Evals
🗄️ Vector Databases & Retrieval
Features
Local search across 32+ coding agent providers
Natural language search (e.g., 'failed migration')
Search by file: --file crates/foo/src/lib.rs
Multi-term search with --term flag
Ranked, cited results with ctx IDs
Show event snippets with --window context
Print full session transcripts
Lineage tracking for parent sessions, subagents, forks (1.0.0)
Structured JSON/JSONL output (1.0.0)
Self-contained Core index (1.0.0)
Semantic search with multilingual model
Scriptgram search for CJK and Indic scripts
ctx pro: blame by file, line, commit, or PR
MCP integration for agent querying
Runs entirely offline, no API keys
General-purpose embedding models: voyage-3.5, voyage-3.5 lite
Domain-specific models for finance, legal, and code
Company-specific fine-tuned models for proprietary data
Voyage 4 model series for improved retrieval quality
voyage-multimodal-3.5 for multimodal retrieval (images + text)
Low-dimensional embeddings (3x-8x shorter vectors) reduce storage costs
Long-context support up to 32K tokens
rerank-2.5 and rerank-2.5-lite with instruction following
Batch API for large-scale embedding workloads
voyage-context-3 provides chunk-level details with global document context
Low-latency inference with 4x smaller model
2x cheaper inference than previous models
SOC 2 and HIPAA compliance
Modular design: plug-and-play with any vector DB and LLM
Integrations
Claude Code
Codex
Cursor
Copilot CLI
Gemini CLI
Pi
OpenCode
Antigravity
Factory AI
Droid
MiMo Code

What real users say: Ctx vs Voyage AI

Not marketing copy and not our opinion — a structured sweep of public discussion (reviews, forums, communities and video comments), showing what people praise and what they complain about for each tool.

Ctx

86 mentions across 6 sources · 41% positive — mixed

Hacker News, Product Hunt, Bluesky, Stack Overflow, GitHub, Lemmy

What users praise

  • • Fully local — no cloud, no API key, no background service.
  • • Written in Rust — fast indexing and sub-second search.
  • • Claims 50× token efficiency versus raw transcript search.
  • • Supports multiple major agent harnesses out of the box.

What frustrates them

  • • No GUI — CLI-only may intimidate some users.
  • • macOS install broken due to TLS redirect issue.
  • • No freshness/decay metadata — stale results can mislead.
  • • Some agent formats lack support (e.g., Pi, Shelley) — check your stack.

Researched Jul 6, 2026

Voyage AI

41 mentions across 4 sources · 48% positive — mixed

Hacker News, YouTube, Stack Overflow, Lemmy

What users praise

  • • High accuracy for RAG retrieval, especially with the reranker models.
  • • Domain-specific models for finance, legal, and code deliver better results.
  • • Low-dimensional embeddings cut vector storage costs by up to 8x.
  • • Supports long contexts up to 32K tokens, useful for large documents.

What frustrates them

  • • Data-training clause in terms raises privacy red flags for enterprises.
  • • Pricing is opaque, requiring contact with sales.
  • • Community support is sparse — few Stack Overflow answers or forum threads.
  • • No clear free tier, so trying it costs time with sales or API credits.

Researched Aug 26, 2026

Who should pick which

  • Enterprise RAG engineer
    Pick: Voyage AI

    Needs high-accuracy retrieval on finance/legal docs with 32K context and low-dimensional vectors for cost-efficient storage. Voyage's domain-specific models and SOC 2 compliance are essential.

  • Solo developer using multiple coding agents
    Pick: Ctx

    Ctx indexes histories from Claude Code, Codex, Cursor, etc., enabling natural language search across sessions—all free and local, no vendor lock-in.

  • Startup building a multimodal RAG app
    Pick: Voyage AI

    Voyage-multimodal-3.5 and Voyage 4 series can handle images and text, while Batch API scales with large workloads. Pricing flexibility through sales contact.

  • Team debugging failed agent builds
    Pick: Ctx

    Ctx's ability to search past agent commands and outcomes speeds up debugging. JSON output and MCP integration allow scripting into workflows.

Frequently Asked Questions

Ctx vs Voyage AI: which should you choose?

Voyage AI and Ctx serve entirely different needs. Voyage AI is an enterprise-grade embedding API for RAG pipelines, ideal for finance/legal teams needing long-context, low-dimensional vectors with compliance. Ctx is a free, open-source CLI tool for searching coding agent history locally—perfect for developers who want to retain context across sessions without cloud dependency. Choose Voyage for production RAG accuracy; choose Ctx for agent workflow memory.

Can I use Voyage AI for free?

No, Voyage AI uses contact-based enterprise pricing with no free tier. It requires a sales engagement.

Is Ctx cloud-hosted or self-hosted?

Ctx is fully local. It stores data in a local SQLite database and requires no cloud dependency or API key.

Which tools does Ctx integrate with?

Ctx supports Claude Code, Codex, Cursor, Pi, OpenCode, Antigravity, Gemini CLI, Copilot CLI, Factory, Droid, and MCP.

What embedding dimensions does Voyage offer?

Voyage's low-dimensional embeddings are 3x-8x shorter than standard vectors, reducing storage costs.

Does Voyage support multimodal inputs?

Yes, Voyage offers voyage-multimodal-3.5 for multimodal retrieval.

Can I use Ctx with a team?

Ctx is local-first; a cloud sharing feature (ctx cloud) is mentioned as 'when available' but not yet shipped. For now, sharing requires manual transfer of SQLite files.

Is Voyage HIPAA compliant?

Yes, Voyage AI supports SOC 2 and HIPAA compliance for enterprise workloads.

Does Ctx require a subscription?

No, Ctx is free and open-source under MIT license.

More Ctx or Voyage AI comparisons

AI-Search vs Voyage AI comparison

Voyage AI and AI-Search serve completely different needs. Voyage AI is a specialized enterprise tool for high-accuracy embeddings and rerankers in RAG pipelines, ideal if you need domain-specific mode

Nubase vs Voyage AI comparison

Choose Voyage AI if you need domain-specific, high-accuracy embeddings and rerankers for enterprise RAG (finance, legal, code) with SOC 2/HIPAA compliance — expect sales-led pricing and modular integr

gitlab-duo-provisioning-blueprint vs Voyage AI comparison

Choose Voyage AI if your core need is high-accuracy retrieval on domain-specific data (finance, legal) with long-context support and low storage costs. Choose gitlab-duo-provisioning-blueprint if you

sandboxd vs Voyage AI comparison

If your need is high-accuracy retrieval over dense domain-specific documents (finance, legal, code), Voyage AI's specialized embedding models and rerankers are unmatched, but be prepared for enterpris

coreai-model-zoo vs Voyage AI comparison

These tools serve completely different needs. Choose Voyage AI if you run an enterprise RAG pipeline needing domain-tuned embeddings and rerankers, especially for finance/legal; its 32K context and lo

agentteam-email vs Voyage AI comparison

Voyage AI and agentteam-email solve completely different problems: Voyage AI is for high-accuracy retrieval in RAG (embedding/reranking), while agentteam-email manages email infrastructure for AI agen

Explore each tool further

Ctx
View Ctx reviewCtx alternatives
Voyage AI
View Voyage AI reviewVoyage AI alternatives

Browse these categories

Best AI Code & Development toolsBest AI Vector Databases & Retrieval toolsBest AI LLM Observability & Evals tools
Still deciding? Get the weekly AI tools brief

One email a week — new tools, honest comparisons, no spam.

Last reviewed: July 6, 2026