Agentic AI Comparison:
Helicone vs Manifest

Helicone: 7.5

Helicone primarily functions as an infrastructure and observability layer rather than a full agent orchestration framework, so its contribution to autonomy lies in enabling robust, self‑regulating behavior at the gateway level rather than in providing high‑level planning or tool‑use primitives for agents. It offers intelligent routing, automatic fallbacks between providers, caching, rate limiting, threat detection, and cost‑aware controls at the proxy edge, which allow an existing agent system to operate more autonomously—for example by transparently handling provider outages or adjusting routing without changes to application logic. Built‑in cost, latency, and error tracking means an agent’s environment can be monitored and tuned automatically, but Helicone itself does not define agent behavior; it enables autonomous behavior through infrastructure mechanisms instead of agent‑level frameworks. Because of this, its autonomy score is high for operational autonomy of LLM traffic but moderate for agent‑logic autonomy, leading to an overall rating around 7.5.

Manifest: 8

Manifest’s open‑source LLM gateway is explicitly described as designed for AI agents and apps, connecting multiple API keys, subscriptions, and local models behind a single OpenAI‑compatible endpoint. This allows agents to autonomously choose between different providers or local models through routing logic in the application, without changing how they call the API, which enhances agent‑level autonomy in terms of provider selection and deployment context. The hosted Manifest platform further supports autonomy by bundling infrastructure (hosting, database, login, background tasks, analytics) so applications and agents can run with minimal external glue, making it easier to schedule background jobs or long‑running workflows that operate independently once configured. However, similar to Helicone, Manifest is a gateway and app platform, not a high‑level agent behavior library (e.g., no dedicated planning or tool‑selection framework is highlighted in available materials), so its autonomy is strongest at the deployment and provider‑routing level rather than at cognitive or planning autonomy, justifying a slightly higher but still moderate score of 8.0.

Helicone: 8.5

Helicone’s integration model is designed to be minimal‑friction: for many setups, you simply change the base URL of your existing OpenAI or Anthropic client to a Helicone domain (e.g., oai.helicone.ai) and add a Helicone Auth header, without adopting a new SDK or rewriting application code. Documentation and tutorials emphasize quick‑start flows (Docker run for the gateway, Helm charts for Kubernetes, simple environment variable configuration) and provide examples for popular toolchains such as LiteLLM and AI SDK, where enabling Helicone is a matter of setting baseURL and headers. The hosted UI offers dashboards with tables, aggregates, cost breakdowns, and configurable alerts, allowing teams to gain observability without constructing custom metrics pipelines. On the other hand, more advanced features—custom routing rules, complex HQL queries, and enterprise deployment—may require additional configuration and operational expertise, slightly reducing approachability for non‑DevOps users. Overall, Helicone’s ease of use for typical OpenAI‑style workflows is high, especially given its proxy drop‑in approach, leading to a score around 8.5.

Manifest: 9

Manifest’s hosted platform emphasizes rapid app building and sharing, with built‑in hosting, database, login, payments, background tasks, analytics, and AI integration, so users can create and run applications without assembling multiple services themselves. The Free and Pro plans abstract away much of the infrastructure and provide simple limits (number of apps, file storage, credits) that are straightforward to understand for application developers. The open‑source LLM gateway is advertised as OpenAI‑compatible, meaning existing code that speaks OpenAI’s API can often be directed at Manifest’s endpoint with minor configuration changes, similar to Helicone’s approach. For teams that primarily want to build apps rather than manage gateway infrastructure, Manifest’s integrated experience is likely simpler and more accessible than running an observability stack; however, complexity can increase if users need to deeply customize routing or self‑host the gateway. Taken together, Manifest’s emphasis on no‑assembly infrastructure and app‑level abstractions yields a slightly higher ease‑of‑use score, around 9.0.

Helicone: 9

Helicone is built for multi‑provider flexibility: its AI Gateway can route to 100+ LLM models across providers including OpenAI, Anthropic, Azure OpenAI, Gemini, Mistral, Groq, Together AI, and OpenRouter, exposed through a single OpenAI‑compatible API endpoint. It supports both gateway mode with pass‑through billing (you pay providers directly) and observability‑only mode with your own API keys, giving teams flexibility in how they integrate the platform into existing billing and security setups. The platform can be used as a hosted SaaS or self‑hosted on user infrastructure; open‑source code and Helm charts support Kubernetes deployment, while Docker images support quick starts. At the traffic level, Helicone offers caching, rate limiting, API key management, threat detection, moderation, and streaming cost tracking, which gives fine‑grained control over how requests are handled and monitored. Its observability features—sessions, users, custom properties, cost metrics—allow a wide range of usage analytics and debugging workflows. Given this combination of multi‑provider routing, multiple deployment modes, and extensive feature flags, Helicone scores high on flexibility at the infrastructure and operations level, around 9.0.

Manifest: 8.5

Manifest’s open‑source gateway is designed as a connect‑everything endpoint for agents and apps: it connects multiple API keys, subscription providers, and local models to one OpenAI‑compatible endpoint, enabling flexible provider selection and hybrid deployments (cloud + local). Its hosted platform offers flexibility in how apps are structured (multiple apps per account, custom domains on Pro, background tasks, analytics, and integration with payments), which supports a variety of product types without requiring custom infrastructure assembly. Users can choose between the hosted platform and self‑hosted gateway, giving some deployment flexibility similar to Helicone. However, public materials emphasize app‑level flexibility more than deep traffic‑level controls like detailed observability queries, complex routing rules, or fine‑grained rate limiting; these may be present but are not as central as in Helicone’s positioning. Thus, Manifest is highly flexible for building and routing apps and agents across providers, but Helicone’s broader emphasis on open‑source deployment and detailed control over traffic and observability gives it a slight edge, reflected in an 8.5 score.

Helicone: 8

Helicone’s pricing structure is tiered with a generous free tier and reasonably priced mid‑range plans for teams needing more capacity and features. The Hobby plan is free and includes roughly 10,000 requests per month, 1 GB of storage, limited ingestion throughput (around 10 logs/min), and a single seat and organization, with short data retention (often cited around 7 days). Pro is commonly quoted around $79/month, including 10k free requests plus usage‑based overage, unlimited seats, alerts, reports, and an HQL query language, with roughly one‑month retention. Team is around $799/month with 5 organizations, SOC‑2 and HIPAA compliance, dedicated Slack support, and increased ingestion limits (e.g., 15k logs/min) with longer retention (around 3 months), while Enterprise is custom‑priced with SAML SSO, on‑prem deployment, and effectively unlimited retention. In addition, Helicone offers self‑hosted open‑source deployment at no license cost, which can be cost‑effective for teams willing to manage infrastructure. Cost tracking features can reduce overall LLM spend by making usage visible and enabling optimization. Overall, Helicone provides strong value—free observability for small workloads and a clear path to enterprise features—yielding a cost score of about 8.0.

Manifest: 8.5

Manifest’s app platform pricing is designed to be accessible for small teams and individual developers, with a Free tier and a relatively low‑cost Pro subscription. The Free plan typically includes up to 3 apps, around 5 GB of file storage, and approximately 500 credits per month, which can be used for resource‑intensive features like sending emails or AI usage, making it suitable for prototypes and small projects. The Pro plan is around $29/month and includes unlimited apps, roughly 100 GB of storage, about 10,000 monthly credits, and support for custom domains, which provides substantial hosting and infrastructure value at a relatively low monthly price. For LLM gateway usage itself, Manifest’s materials emphasize support for all providers with no restrictions and a free local router/self‑hosted option with unlimited routed requests and short dashboard retention, suggesting that teams can route LLM traffic inexpensively as long as they are willing to operate the gateway or accept limited retention. Given the combination of free gateway options, low Pro pricing for app hosting, and credits that cover common operational needs, Manifest’s cost‑effectiveness is slightly higher overall, leading to a score around 8.5.

Helicone: 8.5

Helicone has gained notable attention as an open‑source LLM observability platform and AI gateway, with multiple third‑party reviews, comparison articles, and pricing analyses published through 2025–2026. It is listed across several AI tools directories and pricing aggregators, suggesting reasonable market penetration and awareness among teams building production LLM applications. The GitHub organization hosts multiple repositories (including the main helicone project and Helm charts), indicating an active open‑source presence with continued updates, and recent changelog entries document new features such as the AI Gateway launch and Docker/Kubernetes deployment assets. Reviews discuss its acquisition by Mintlify and position it as a go‑to solution for LLM observability and proxy‑based routing, which further increases its visibility. All of this supports a strong popularity score around 8.5, although it may not be as widely adopted as some larger commercial observability platforms.

Manifest: 7.5

Manifest is visible through its manifest.build site, GitHub repositories for the open‑source gateway, and the madewithmanifest.com showcase platform, but public evidence points to a smaller, though growing, footprint compared with Helicone’s observability‑focused presence. The open‑source gateway is relatively new (with recent updates) and specifically targets agents and apps, which may limit awareness to teams experimenting with multi‑provider setups rather than general LLM users. The hosted app platform is present in documentation and marketing materials, but fewer independent reviews and pricing analyses are available compared with Helicone, suggesting somewhat lower market coverage. Nonetheless, Manifest’s combined app platform and gateway, plus its inclusion in AI app ecosystems, indicates a growing user base and early community adoption, justifying a popularity score around 7.5.