Screenpipe

Local-first screen and audio recording engine with REST API for AI context capture. Screenpipe continuously records your screen and audio, runs OCR and transcription locally, and provides a searchable database of everything you've seen and heard. Enables AI agents to access user context — what apps were open, what was typed, what was said — without cloud upload. Used for personal AI memory and computer use workflows.

Evaluated Mar 06, 2026 (0d ago) vcurrent
Homepage ↗ Repo ↗ AI & Machine Learning computer-use screen-recording ocr audio local open-source memory context
⚙ Agent Friendliness
66
/ 100
Can an agent use this?
🔒 Security
62
/ 100
Is it safe for agents?
⚡ Reliability
62
/ 100
Does it work consistently?

Score Breakdown

⚙ Agent Friendliness

MCP Quality
72
Documentation
75
Error Messages
65
Auth Simplicity
85
Rate Limits
80

🔒 Security

TLS Enforcement
70
Auth Strength
55
Scope Granularity
50
Dep. Hygiene
78
Secret Handling
60

Localhost API has no TLS by default — accepts connections from any local process. Screen recordings contain highly sensitive data. No auth by default requires careful deployment. Open source for auditability.

⚡ Reliability

Uptime/SLA
60
Version Stability
65
Breaking Changes
60
Error Recovery
65
AF Security Reliability

Best When

You're building personal productivity AI agents that need continuous context about what the user is doing on their computer — meetings, applications, documents — without cloud recording.

Avoid When

You need cloud-based computer use (use BrowserBase or Steel for browser automation), or you're building for multi-user or server-side deployment.

Use Cases

  • Give AI agents access to user's recent screen context for meeting follow-ups, task continuation, and personalized assistance
  • Build personal AI memory systems that let agents recall what the user was working on across sessions
  • Capture user workflow context for agent automation — 'fill this form like I did last time' using screen history
  • Monitor specific application windows for agent-triggered automation when specific content appears on screen
  • Create agent workflows that use screen+audio context to generate meeting notes, task summaries, or action items

Not For

  • Server-side deployments — Screenpipe is a local desktop application; no cloud deployment model
  • Cross-user or shared screen monitoring — Screenpipe is personal, single-user by design
  • Privacy-sensitive environments — records screen content locally but creates sensitive data requiring careful access control

Interface

REST API
Yes
GraphQL
No
gRPC
No
MCP Server
Yes
SDK
No
Webhooks
No

Authentication

Methods: none
OAuth: No Scopes: No

REST API runs on localhost — no authentication by default (local trust model). API key authentication can be configured. MCP server exposes screenpipe tools to Claude and other MCP clients.

Pricing

Model: open_source
Free tier: Yes
Requires CC: No

MIT-licensed core is free. Pipe ecosystem (community extensions) has both free and paid components. Storage costs depend on recording resolution and retention period.

Agent Metadata

Pagination
offset
Idempotent
Full
Retry Guidance
Not documented

Known Gotchas

  • Screenpipe must be running on the user's machine — agents cannot use it for remote or server-side deployments
  • OCR accuracy varies by screen content type — code and dense text are less accurate than regular prose
  • Privacy implications are significant — screen content may include passwords, private messages, sensitive data; access control is critical
  • Screen recording storage grows rapidly — retention management is required for long-running deployments
  • API surface is actively evolving — pin Screenpipe version and check changelog on upgrades
  • MCP server exposes full screen history to any connected MCP client — scope access carefully

Alternatives

Full Evaluation Report

Detailed scoring breakdown, competitive positioning, security analysis, and improvement recommendations for Screenpipe.

$99

Scores are editorial opinions as of 2026-03-06.

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