epho Description
Epho transforms coding agents into a versatile API, enabling developers to execute Claude Code, Codex, or OpenCode in secure cloud sandboxes via a singular HTTP endpoint. Users can submit prompts, select a harness and model, link repositories and files, connect to MCP servers, and provide environment variables or provider credentials; Epho will then initiate the environment, replicate the code, integrate the necessary tools, and stream the agent's progress in real-time. The system supports both synchronous runs, which can deliver live events, tool calls, edits, final outputs, and artifacts, as well as asynchronous execution featuring polling and webhooks. Importantly, chat sessions are persistent, allowing subsequent interactions to continue from the same filesystem, checkout, agent session, system prompt, model, and MCP setup, even in the absence of the original sandbox. It accommodates private repositories from GitHub, GitLab, and Bitbucket, with agents capable of reading code, implementing changes, executing tests, and refining errors similarly to a local environment. Furthermore, every event is securely stored, ensuring that interrupted streams can reconnect seamlessly without any loss of data during a run. This robust architecture not only enhances productivity but also fosters a more efficient coding workflow.
epho Alternatives
Gemini Enterprise Agent Platform is Google Cloud’s next-generation system for designing and managing advanced AI agents across the enterprise. Built as the successor to Vertex AI, it unifies model selection, development, and deployment into a single scalable environment. The platform supports a vast ecosystem of over 200 AI models, including Google’s latest Gemini innovations and popular third-party models. It offers flexible development tools like Agent Studio for visual workflows and the Agent Development Kit for deeper customization. Businesses can deploy agents that operate continuously, maintain long-term memory, and handle multi-step processes with high efficiency. Security and governance are central, with features such as agent identity verification, centralized registries, and controlled access through gateways. The platform also enables seamless integration with enterprise systems, allowing agents to interact with data, applications, and workflows securely. Advanced monitoring tools provide real-time insights into agent behavior and performance. Optimization features help refine agent logic and improve accuracy over time. By combining automation, intelligence, and governance, the platform helps organizations transition to autonomous, AI-driven operations. It ultimately supports faster innovation while maintaining enterprise-grade reliability and control.
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Engineering teams shipping with AI have a new bottleneck: validation. Code output has accelerated. Quality hasn't. Checksum closes the gap.
Checksum is a continuous quality platform with a suite of AI agents that handle testing end-to-end, at every stage of the development lifecycle. Where most tools wait for a human to trigger them, Checksum runs autonomously in the background, generating tests, executing them, and repairing failures without manual intervention. Seventy percent of test failures are resolved automatically through real-time auto-recovery.
The platform covers every layer: end-to-end UI flows via Playwright, API endpoint chains, and targeted CI tests scoped to exactly what changed in a PR. All tests land as real code in your repository and are delivered as standard Playwright, owned by your team.
Checksum is fine-tuned on 1.5+ million test runs and integrates natively with Cursor, Claude Code, and 100+ AI coding agents. Type /checksum and your coding agent's output gets tested before it ever reaches review. Generation and healing happen on Checksum's cloud infrastructure which means no LLM tokens consumed, no local resources required.
The result: test suites that stay green as the product evolves, fewer regressions reaching production, and release confidence that scales alongside AI output.
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OpenAI Agents API
The Agents API enables developers to create and operate cloud agents utilizing the same framework and infrastructure that supports Codex, all under the management of OpenAI. By making a simple API request, users can establish a fully operational agent by defining the specific task, model, tools, and environment, with OpenAI overseeing the agent's infrastructure. Developers have the flexibility to select where their agents are deployed: whether in an OpenAI-managed sandbox, on personal servers, or via authorized sandbox partners. The OpenAI-managed sandboxes offer secure environments for agents to execute code, interact with files, utilize packages, skills, and plugins, and generate outputs. Designed for tasks that require extended operation, the API features automatic context compaction to retain pertinent information across multiple context windows within sessions. Additionally, the tool search function efficiently loads relevant definitions only as needed, while programmatic tool invocation allows agents to execute calls simultaneously, chain related tasks, and filter or merge results seamlessly in code. This comprehensive approach not only enhances efficiency but also empowers developers to create more sophisticated applications.
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Flue
Flue is an innovative agent framework designed for creating robust AI agents utilizing a customizable TypeScript environment. Developed by the creators of Astro, it incorporates a React-like hooks API for constructing agent functionalities, including persistent state, lifecycle events, various models, tools, sandboxes, subagents, skills, and MCP servers within the codebase. These agents maintain state and can be addressed via HTTP, preserving context throughout interactions and adapting their abilities as tasks evolve. Flue ensures that every session is logged in a reliable stream, allowing for the recovery of accepted tasks even after crashes, restarts, or deployments; this means that interrupted sessions can seamlessly resume, and clients can reconnect without needing to start anew. Developers have the flexibility to operate agents locally, through continuous integration, from their own backend systems, or coordinate them using platforms like Cloudflare Workflows and Inngest. The secure sandboxes allow agents to execute commands, modify files, and perform meaningful tasks, while integrated tools facilitate connections to various APIs and data sources. Flue is powered by Pi and offers compatibility with multiple LLM providers, enabling teams to select the models that best suit their needs. Ultimately, this framework empowers developers to create versatile AI agents that can adapt to changing requirements and environments.
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Pricing
Pricing Starts At:
$0.00013 per GiB per hour
Company Details
Company:
epho
Headquarters:
United States
Website:
epho.io
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Product Details
Platforms
Web-Based
Types of Training
Training Docs
Customer Support
Online Support
epho Features and Options
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