AEVS vs Screencap: Features, Pricing & Which Is Better (2026)

A side-by-side comparison of AEVS and Screencap — features, pricing, and ideal use cases — to help you decide which AI tool fits your workflow.

AEVS

Fetch.ai

Free

Open-source SDK that creates tamper-evident, cryptographically signed receipts for every tool call an AI agent makes.

Signed Receipts: Records every tool call and seals it with an ECDSA P-256 signature backed by KMS.
Hash-Chained Logs: Links each receipt to the previous one so tampering or skipped steps are detectable.
Independent Verification: Confirms signatures via a public API or explorer using only a reference ID.
Drop-In SDK: Installs with pip and wraps existing tools without changing them.
Framework Auto-Detection: Automatically integrates with LangChain and MCP-based agents.
Open Source: Released as fetchai/AEVS-sdk for Python 3.10–3.13.

Agent Auditing: Keep a verifiable record of exactly what an agent did and when.
High-Stakes Actions: Prove execution of sensitive operations such as payments or refunds.
Compliance Evidence: Provide tamper-evident logs for regulated or accountable workflows.
Debugging Agents: Inspect tool inputs, outputs, timing, and errors for each call.
Third-Party Verification: Let external parties confirm an action occurred without sharing source code.

Proteus Computer Use

Freemium

Local-first macOS screen recorder that captures, labels, and indexes team workflows so knowledge stays searchable and private.

Local-First Capture: Recordings live in ~/.screencap on your Mac and never leave unless you explicitly share them.
On-Device Task Segmentation: An on-device model breaks long recordings into labeled tasks like payroll runs, expense approvals, or CRM data entry.
Full-Text Search of Workflows: Every spoken word and on-screen moment is indexed so any past workflow can be surfaced months later by search.
Privacy-Enforced Recording: Password managers and banking apps are cut before a frame is written; email and chat are masked in real time.
MCP Context Snapshots: While recording, Screencap queries connected MCP servers to capture the exact Gusto/Attio/Linear/Notion record on screen inside the video.
Deliberate Sharing With PII Scrubbing: Every shared copy is scrubbed of names, secrets, and PII, and only the recordings you pick ever leave the machine.
Source-Available Codebase: The full capture engine, encryption, agent, and anonymizer are public on GitHub under PolyForm Noncommercial 1.0.0.

Team Onboarding: Assemble ordered collections of real workflow recordings so new teammates learn exactly how work is actually done.
Institutional Knowledge Capture: Preserve the tacit steps behind payroll runs, reconciliations, and quarterly reports as searchable video.
Ops Documentation: Replace stale wikis by pointing teammates at labeled task recordings that stay current with the real system.
Compliance-Sensitive Recording: Capture back-office work in banking, finance, and HR without leaking passwords, account balances, or PII.
Computer-Use Dataset Contribution: Optionally donate reviewed, scrubbed recordings to a public dataset for training open computer-use models.