Pricing

Simple, honest pricing for teams using AI every day.

Pro is $19/month, Elite is $49/month, and Team is $79/user/month. Context Credits scale with usage, no per-operation surprises.

Pro
$19/month
Price locks while active

For individual developers. Persistent project memory across every AI tool you use.

  • 1 user
  • 1 concurrent job
  • Monthly credit allowance
  • Full core product · Stream, Atlas, Capsules
  • MCP · Cursor · Claude Code · Cline
  • Extra credits available · top up anytime
  • Agent seats add-on · $10–$15 each
Most Popular
Elite
Graph depth: call + dataflow + type
$49/month
Price locks while active

Full graphs + Enhanced Context. The deepest recall ContextStream offers.

  • Everything in Pro
  • Call, dataflow, and type graph depth
  • Enhanced Context for deeper recall
  • Higher credit allowance
  • Priority indexing lane
  • Extra credits available · top up anytime
Team
$79/user/month
Price locks while active

Shared project wisdom. Scoped governance. Higher concurrency for teams that move.

  • Everything in Elite
  • 3-user minimum
  • Shared workspace · team Stream & Atlas
  • Team governance · roles & permissions
  • Scope and per-project access controls
  • Higher concurrency
  • Extra credits available · top up anytime
All plans use Context Credits, not per-operation pricing. We don't sell agent seats — we charge for concurrent jobs and the people who benefit. Need a custom enterprise rollout? Talk to us.
01 Pricing concepts

Two units, both predictable.

No "operations" counter, no surprise quotas. Two simple things scale: how many things run at once, and how much your project remembers.

Concurrent jobs

How many things run at once.

Indexing, capsule renders, agent recalls, scheduled refreshes. Pro gets 1, Elite adds a priority indexing lane, Team adds higher concurrency. Add agent seats for $10–$15/month each.

Context Credits

How much your project remembers.

A Credit covers retrieval, embedding, and graph traversal — not raw API calls. Monthly bucket included; top up anytime.

02 Plan comparison

Choose the intelligence layer your agents need.

Every plan gives your AI tools a reusable memory layer. The difference is how deep the retrieval, graph intelligence, distillation, and team controls go.

Recent edge benchmark25-54ms p50common context + search paths across global servers
Cited, reusable context

RAG + LLM data intelligence

Turns project code, docs, decisions, tickets, and session history into retrieval-ready context your agents can actually cite and reuse.

RAGEmbeddingsCitations
Signal over raw logs

Power context insights

Distills lessons, risks, preferences, and architecture signals so every future session starts with the most useful context already ranked.

InsightsLessonsDecisions
Every session compounds

Recaps and distillation

Session recaps, deltas, handoffs, and capsules keep work moving without asking the next agent or teammate to rediscover the same facts.

RecapsDeltasCapsules
Never trained on your data

Private team intelligence

Secure scopes, redaction, audit trails, and team knowledge sharing keep sensitive context private while still making it useful.

PrivateScopedAuditable
Global reach25-54ms p50

Recent edge benchmark range for common context and search paths across global servers.

Search coverage11 search modes

Explore, semantic, hybrid, exact keyword, phrase, pattern, composite, exhaustive, refactor, team, and crawl.

Recall loop50ms-class

Session recall, cached recall, and deltas use the same low-latency context path.

plans · intelligence matrix
CapabilityWhat the agent can reliably know and do
ProCore individual workspace
TeamShared organization memory

Context Intelligence

How much of your project and working history becomes reusable agent memory.

Persistent Knowledge StreamProject memory for decisions, lessons, docs, tasks, todos, and working context.
Personal StreamDurable memory for one user and their active projects.
Shared team StreamCollective memory across team scopes, projects, and workspaces.
RAG + LLM data intelligenceRetrieval-ready context for agents, grounded in your own project data.
Cited retrievalCore RAG over project knowledge, docs, and code references.
Team-scoped RAGShared retrieval across approved team knowledge and scopes.
Source and knowledge integrationsConnect GitHub, GitLab, Bitbucket, Notion, and Slack so agents can retrieve the work that lives outside the codebase too.
Core connectorsGitHub, GitLab, Bitbucket, Notion, and Slack context for one workspace.
Team-scoped connectorsShared integration context with scopes, governance, and team recall.
Power context insightsHigher-signal knowledge distilled from work, not just raw transcript storage.
Decisions + lessonsCapture the facts future agents should not rediscover.
Team intelligenceShared insights, team knowledge, and cross-project patterns.
Recaps, deltas, and handoffsContinuity for long-running work and multi-agent collaboration.
Session recallPick up work from prior sessions with ranked context.
Team recaps + handoffsPackage context for teammates, agents, and client-safe reviews.

Search and Retrieval

Fast codebase and memory discovery across exact, semantic, structural, and team contexts.

Search modesDifferent retrieval strategies for different agent tasks.
Core search suiteExplore, semantic, hybrid, exact keyword, phrase, and pattern.
Collaborative searchEverything in Elite plus team and crawl modes.
Global low-latency retrievalServer-backed retrieval designed for interactive agent loops.
50ms-class context pathsRecent benchmark shows low-latency context and search from global servers.
Global team reachShared retrieval built for distributed teams and agent workflows.
Memory and session recallContext retrieval across previous sessions, docs, decisions, and snapshots.
Recall + cached recallResume prior work without reloading the whole project history.
Team recallTeam-visible context, recaps, and shared knowledge when permitted.

Code, Graph, and Capsules

The analysis layer that turns a codebase into navigable context for agents.

Knowledge AtlasGraph-backed understanding of project structure and change impact.
Single project AtlasModule and import graph for everyday coding questions.
Multi-project AtlasTeam workspace graph across shared projects and scopes.
Code intelligenceAgent-readable structure for code review, refactors, and risk analysis.
Graph-lite analysisCore dependency context for individual projects.
Team code intelligenceShared analysis surfaces and higher concurrency.
ContextCapsulesPackaged context for reviews, handoffs, and agent-to-agent continuity.
Personal handoffsReusable capsules for your own sessions and agents.
Team + client-safe capsulesScoped, redacted handoffs for teammates and stakeholders.

Team, Privacy, and Control

How ContextStream keeps company knowledge useful without making it loose.

Team intelligenceShared organizational context for people and agents.
Individual contextBuilt for one developer's project memory.
Team knowledge layerShared docs, tasks, todos, diagrams, discussions, and recaps.
Privacy and training postureYour data stays your data.
Never trained on your dataPrivate project context with encrypted storage.
Never trained on your dataTeam scopes, access boundaries, redaction, and auditability.
Governance and auditControls for who can see, promote, share, and revoke context.
Personal controlsProject-level visibility for individual work.
Roles, scopes, audit logTeam governance for shared context and workspace operations.

Scale and Operations

The operational limits that decide how much work can run and how much context is included.

Concurrent jobsIndexing, capsules, recalls, scheduled refreshes, and agent work running at once.
1 concurrent jobEnough for individual workflows.
Higher concurrencyBuilt for multiple people and agents working together.
Context CreditsMonthly included context budget for retrieval, embedding, and graph traversal.
25k monthly creditsCore product usage with top-ups available.
200k monthly creditsPooled team usage with top-ups available.
Seats and collaborationHow many people can benefit from the same context system.
1 userAgent seats can be added as needed.
3-user minimumShared workspace for teams and collaborative agents.
03 Common questions

Pricing questions, answered.

What if my project gets really large?

All plans handle projects up to ~100k indexed files comfortably. Above that, Team adds higher concurrent jobs and a priority indexing lane. If you're indexing a monorepo with multiple millions of files, talk to us — we'll size you correctly.

What happens when I run out of Context Credits?

Nothing breaks. Your AI tools still query the Stream and Atlas — they just slow down for non-priority retrievals until your monthly allowance refreshes, or you top up.

What happens to existing subscribers?

Existing paid subscribers keep their original Stripe price while their subscription remains active. New self-serve subscriptions use the current Pro, Elite, and Team list prices.

What's the difference between Pro and Elite?

Elite gets full call + dataflow + type graph depth and Enhanced Context for deeper recall, plus a higher credit allowance and a priority indexing lane. Pro is the full core product with module + import graph depth.

Is there a free trial?

Pro plans include a free starter period for new workspaces. We'd rather give you enough credits to feel the product than gate it behind a contact form.

Do you train models on my data?

No. We don't train models on any of your data — full stop. See the privacy page for the full statement.

Get reusable project context, in five minutes.

One decision, one lesson, one capsule. Watch your AI remember.

Talk to us