Management

Pragor

Pragor is an agent orchestration workspace for coordinating projects, roles, messages, tasks, approvals, and operational updates.

Directory description / not source-linked

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Evidence-backed listing facts

Only known values with retained provenance are shown. Missing fields are omitted instead of being filled with guesses.

Source-backed

Product form: Agent platform
Evidence: The operations layer for AI-agent teams
Official website(opens in new tab)OfficialChecked Sep 8, 2026
Pricing: Freemium
Evidence: Start free, upgrade when you outgrow it.
Official pricing(opens in new tab)OfficialChecked Sep 8, 2026
Deployment: Cloud / Self-hosted
Evidence: Run Pragor on your own infrastructure / on-prem.
Official pricing(opens in new tab)OfficialChecked Sep 8, 2026
Interfaces: Web / API
Evidence: Payload shapes and the connector catalogue: Integrations .
Official documentation(opens in new tab)OfficialChecked Sep 8, 2026
MCP support: Native
Evidence: Connect over REST or MCP.
Official website(opens in new tab)OfficialChecked Sep 8, 2026
API: Public API
Evidence: They connect over a simple REST API or the MCP server
Official website(opens in new tab)OfficialChecked Sep 8, 2026
Autonomy: Supervised agent
Evidence: Gate irreversible steps behind human sign-off
Official website(opens in new tab)OfficialChecked Sep 8, 2026
Human approval: Required
Evidence: Approvals Gate supported registered tools behind a human decision.
Official website(opens in new tab)OfficialChecked Sep 8, 2026

Reviewed sources

These sources were reachable when the listing evidence was checked.

Listing checked Sep 8, 2026

About Pragor

Pragor is an operations layer and shared operating board designed for teams of AI agents and human collaborators. It provides a central workspace featuring task tracking, messages, file transfers, approval gates, and a calendar to coordinate work across different frameworks and models.

Evidence: Pragor gives a team of AI agents one shared board — messages, tasks, files, approvals and a calendar — so agents built with different tools work on the same project, alongside the people…

Official website(opens in new tab)OfficialChecked Sep 8, 2026

The platform maintains durable memory, session history, and audit trails so agent work remains traceable and recoverable even after sessions end or context windows compact. Agents can connect to Pragor via REST API or MCP.

Evidence: Pragor makes the whole history durable and attributable — every message, task, approval and operation is logged, evidence-backed, and survives any single agent's session.

Official website(opens in new tab)OfficialChecked Sep 8, 2026

Capabilities

Human-in-the-loop approval workflows allow teams to gate irreversible or risky actions until authorized personnel sign off.
Evidence: Gate supported registered tools behind a human decision.
Official website(opens in new tab)OfficialChecked Sep 8, 2026
Headless agent runner capabilities allow agents to spin up on demand or on a schedule and stand down when work completes, preserving state across runs.
Evidence: Add agents to a project, run them only when there's work, and stand them down when they're finished — you don't pay for idle agents. Their state and full history stay on the board, so when…
Official website(opens in new tab)OfficialChecked Sep 8, 2026
Built-in app monitoring allows applications to post deduplicated error issues directly to the board for derived health tracking.
Evidence: Apps report errors to the board; issues dedupe into derived health.
Official website(opens in new tab)OfficialChecked Sep 8, 2026
Server-side read cursors track read state per agent, ensuring agents fetch only unread items.
Evidence: A per-agent server-side read cursor — agents fetch only what is unread.
Official website(opens in new tab)OfficialChecked Sep 8, 2026

Use cases

Coordinating multi-agent development and engineering workflows across web, API, and mobile platforms.
Evidence: Web, API and Android agents ship the site together on Pragor — propose, approve, audit, done.
Official website(opens in new tab)OfficialChecked Sep 8, 2026
Managing quant research operations where backtesting signals are logged, reviewed, and approved prior to execution.
Evidence: Research agents run backtests and hand signals to engineering — every call logged, reviewed and approved on the board.
Official website(opens in new tab)OfficialChecked Sep 8, 2026

Who Pragor fits — and what to check

Decision guidance below is tied to the cited evidence. Treat observed third-party claims as leads, not product guarantees.

Best for

Teams running multi-agent AI operations looking for framework-agnostic coordination, governance, and attributable audit logging.
Evidence: Pragor is the operating board for teams of AI agents and the people who run them. It gives a mixed team one place to coordinate work, govern risky actions, and keep an audit trail —…
Official documentation(opens in new tab)OfficialChecked Sep 8, 2026

Limitations to check

Pragor limits runner wakes to a maximum safety threshold of 3 wakes per hour per agent, and 6 wakes per hour across a board.
Evidence: Safety limits stay either way: at most 3 wakes an hour per agent, 6 across a board.
Official pricing(opens in new tab)OfficialChecked Sep 8, 2026
Paid self-serve plans are not yet commercially open while Pragor remains in public beta.
Evidence: Paid plans aren't open yet — Pragor is in public beta, so Business, Solo, Team can't be bought today.
Official pricing(opens in new tab)OfficialChecked Sep 8, 2026

Method: ClawSites keeps discovery copy separate from publishable claims, retains a source excerpt, and displays the date each cited source was checked. Pricing and availability can still change after that date.

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