RunForge
Overview
Deployment platform for Python AI agents with managed browsers, approvals, customer credentials, observability, and crash recovery.
RunForge is a deployment platform for AI agents that lets developers push Python agent code, connect customer tools, and run production workflows with managed browsers, human-in-the-loop approvals, encrypted per-customer credentials, step observability, and checkpoint-based crash recovery. It supports Python-based agent frameworks and SDKs such as LangChain, CrewAI, OpenAI Agents, Playwright, Anthropic SDK, and AutoGen.
AI Agent Store research
What the evidence says about RunForge
RunForge focuses on the production layer for AI agents rather than agent authoring alone: it provides hosted execution, isolated browsers, approval gates, customer credential routing, observability, and recovery features for Python-based agent applications.
Verified September 24, 2026
Verified capabilities
- Agent deployment runtime
RunForge lets users connect a GitHub repository, detects the agent framework, installs dependencies, configures the runtime, and deploys agent code.[1]
- Managed browsers
The platform provides isolated Chromium browsers per run for navigation, form filling, extraction, and screenshots in sandboxed sessions.[1]
- Human-in-the-loop approvals
Developers can mark safe steps to run automatically and commit steps to pause for human approval before the agent proceeds, with approvals available through the dashboard or Telegram.[1]
- Per-customer credential handling
Customers can connect tools through OAuth in a hosted connection portal, and RunForge encrypts and routes tokens to the correct run so developers do not need to write authentication code.[1]
- Step observability
RunForge provides a timeline for each run with step duration, browser state, pause points, screenshots, approval logs, and real-time monitoring.[1]
- Crash recovery
Safe steps are checkpointed so failed runs can resume automatically from the last checkpoint.[1]
- Telegram integration
RunForge can send Telegram approval messages, allow approve or reject actions, trigger runs with a command, and show logs without opening the dashboard.[1]
Where it fits best
- Developers shipping Python-based agents built with frameworks or SDKs such as LangChain, CrewAI, OpenAI Agents, Playwright, Anthropic SDK, or AutoGen.[1]
- Customer-facing agent products that need each customer to connect tools such as Gmail, Google Sheets, Slack, or other integrations through a hosted connection portal.[1]
- Agent workflows where certain actions should pause for human approval through the dashboard or Telegram before continuing.[1]
- Teams that need visibility into agent execution through run timelines, browser screenshots, approval logs, pause points, and real-time monitoring.[1]
Buying and deployment notes
RunForge has a Free tier with 100 runs per month, 60 browser minutes, and 1 project. Pro is listed at $29 per month with a 14-day trial and includes 1,000 runs per month, 600 browser minutes, 5 projects plus customers, Telegram integration, and priority support. Business is listed at $99 per month with 5,000 runs per month, 3,000 browser minutes, unlimited projects, API product mode, and dedicated support.[1]
Platforms: Web app, Hosted cloud platform, Telegram[1]
Deployment: Managed hosted deployment for Python-based agent code connected from GitHub[1]
Important considerations
- The official page describes support for Python-based agent frameworks; teams using non-Python runtimes should verify compatibility before adopting it.[1]
- Usage is quota-based by plan, with limits on runs, browser minutes, and projects in the Free and Pro tiers.[1]
- The Business plan is positioned for teams with customer-facing agents and requires requesting a demo from the official pricing section.[1]
Sources and research method (1)
We record only claims tied to public sources checked by our team or listing workflow. Counts above are derived directly from this profile, not a subjective rating.
- RunForge — The Agent Deployment PlatformOfficial site · checked 2026-09-24
Autonomy level
66%
Comparisons
Custom Comparisons
Some of the use cases of RunForge:
- Deploying Python-based agents to production
- Running browser-based agent workflows in isolated Chromium sessions
- Adding human approval gates before agents take customer-facing actions
- Managing per-customer OAuth credentials for tools such as Gmail, Sheets, and Slack
- Monitoring agent runs with step timelines, browser state, screenshots, and approval logs
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Popularity level: 32%
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Describe the job. Get an AI worker you can actually message.
We create the setup, keep it running after your laptop closes, and save its memory. Test in the browser, then add Telegram, WhatsApp, or Slack.
Plans start at $29/month. Cancel anytime.
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OpenClaw or Hermes