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Graft
Build production Go-native AI agents. Durable by default.
Graft is a Go framework for building AI agents that actually ship. Multi-provider (OpenAI, Anthropic, Gemini, Bedrock), type-safe tools via generics, MCP client + server, graph orchestration, and durable execution with Temporal, Hatchet, or Trigger.dev.
Hey Product Hunt 👋 I'm the maker of Graft.
I built Graft because every Go developer I know was either wrapping
Python with subprocess calls or reimplementing the same agent loop
for the fifth time. Python frameworks don't translate cleanly to Go's
type system, and most Go "agent libraries" are thin OpenAI wrappers.
Graft is ~14k lines of Go with one external dependency
(OpenTelemetry). Every provider is raw net/http — no vendor SDKs, no
transitive dependency hell.
The thing I'm proudest of: durable execution. Temporal, Hatchet, and
Trigger.dev are first-class runtimes. Your agent becomes a workflow;
activities become tools. Long-running, resumable, observable agents
without writing your own state machine.
Other highlights:
• Multi-provider router with fallback + round-robin
• Type-safe tools via Go generics (JSON schema auto-generated from
structs)
• Agent handoffs (inspired by OpenAI Swarm)
• LangGraph-style DAG orchestration
• MCP client and server
• Guardrails for input, output, and tool validation
• Pluggable tracing: Braintrust, LangSmith, OTel
Docs, examples, and the full repo: https://github.com/delavalom/graft
About Graft on Product Hunt
“Build production Go-native AI agents. Durable by default.”
Graft was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #226 on the daily leaderboard. Graft is a Go framework for building AI agents that actually ship. Multi-provider (OpenAI, Anthropic, Gemini, Bedrock), type-safe tools via generics, MCP client + server, graph orchestration, and durable execution with Temporal, Hatchet, or Trigger.dev.
On the analytics side, Graft competes within API, Artificial Intelligence, GitHub and Tech — topics that collectively have 1.2M followers on Product Hunt. The dashboard above tracks how Graft performed against the three products that launched closest to it on the same day.
Who hunted Graft?
Graft was hunted by Luis Arvelo. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
For a complete overview of Graft including community comment highlights and product details, visit the product overview.
Luis Arvelo