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.
Product overview
Capabilities, pricing and fit
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.
Information as of September 24, 2026
What it can do
- 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]
Pricing and availability
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]
Access: 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 (1)
- RunForge — The Agent Deployment PlatformOfficial site · checked 2026-09-24
Autonomy level
66/100
Our subjective rating of how independently the product carries out its documented tasks, considering the human setup, input, approval and review it needs. This is not a measured success rate.
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
Loading Community Opinions...
Pricing model:
Code access:
Popularity level: 32%
Industries:
Tags:
Turn this profile into a trust signal
Show prospects that RunForge has a public place where they can check product details, pricing, ratings, and reviews.
Build confidence
Give buyers a third-party profile to explore.
Reduce hesitation
Put validation beside your strongest CTA.
Earn discovery
Every badge links prospects to your listing.
Choose your style
Preview it, then copy the complete embed code.
Shows buyers where to validate your product, pricing, and reputation.
Plain HTML. No signup, script, or maintenance required.
AI Agent Store · Specialist AI agentsFor ai agent infrastructure teams
Your AI agent for managed agent deployment operations.
Exploring RunForge? For AI agent infrastructure teams, your own AI agent can investigate execution failures, improve shared agent services, and verify platform releases. Start with a setup tailored to this work.
- ✓ Investigate execution failures
- ✓ Improve shared agent services
- ✓ Verify platform releases
Tailored starting setup. Chat on our site. See the workflow and monthly plan.