Stay free if you only need full apache 2.0 license — unrestricted commercial use and all sdks included (typescript, go, python; .net in development). Upgrade if you need hosted rpc server at api.agentrpc.com and tracing, metrics, and structured event logging. Most solo builders can start free.
Why it matters: Small user community with very few public production deployment examples or documented case studies as of early 2026 — limits available reference architectures
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Why it matters: Documentation covers setup basics but lacks depth on security hardening, scaling patterns, and production deployment best practices
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Why it matters: Adds unnecessary complexity for publicly accessible tools — overkill when direct HTTP calls or standard MCP servers work fine
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Why it matters: Managed server adds a network hop that introduces tens of milliseconds of latency — meaningful overhead for sub-millisecond function calls
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Why it matters: .NET SDK still in development — teams using C# or F# cannot use AgentRPC yet and have no announced timeline
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AgentRPC is designed specifically for AI agent workflows rather than general service-to-service communication. It handles long-running function calls via long-polling, includes built-in MCP server support, and provides OpenAI-compatible tool definitions out of the box. gRPC requires open ports and bidirectional streaming setup, while AgentRPC works through outbound-only connections that traverse firewalls without configuration.
No. AgentRPC adds value only when network boundaries prevent direct function calls between your agent and your tools. If your tools are publicly accessible via HTTP, standard API calls or a direct MCP server are simpler and more efficient — AgentRPC would add unnecessary complexity and latency.
The hosted RPC server at api.agentrpc.com adds a network hop between your agent and your function, which introduces tens of milliseconds of additional latency depending on geography. For functions that complete in milliseconds, this adds noticeable overhead. For longer-running tasks (seconds to minutes), the overhead is negligible relative to execution time.
Yes. All SDKs and core components are open-source under the Apache 2.0 license on GitHub, which permits unrestricted commercial use, modification, redistribution, and self-hosting. The managed hosting at api.agentrpc.com is optional — teams can run the entire stack on their own infrastructure at zero software cost.
Temporal is a general-purpose workflow orchestration engine with durable state management, automatic retries, complex workflow graphs, and versioning support. AgentRPC is much narrower in scope — it focuses specifically on letting AI agents call functions across network boundaries with long-polling support. If you need full workflow orchestration, choose Temporal. If you just need cross-network function calls for agents, AgentRPC is simpler to deploy.
AgentRPC does not publish a public pricing page as of early 2026. The open-source SDK is completely free under Apache 2.0 with no usage restrictions, so self-hosting has zero software cost — you only pay for the infrastructure you run it on. For managed hosting at api.agentrpc.com, pricing is quote-based and scales with function call volume and team size. Contact the AgentRPC team directly for a quote.
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Last verified March 2026