Questions about impacc
What is impacc?
impacc is an AI consulting firm specializing in building durable agent runtimes and infrastructure. They integrate agent harnesses with workflow engines like Temporal to ensure systems resume correctly after crashes. Their services include harness and runtime engineering, production reliability, and deterministic interpreters for model-authored programs.
Who is impacc's ideal client?
The firm targets clients needing long-horizon agents that must run for hours rather than seconds. They help organizations where systems face crashes, rolling deploys, provider outages, or network partitions. Their approach ensures every tool call and subagent is recorded, retried, and replayed correctly.
How can I get started or book a consultation?
Clients can start by booking an intro call to discuss their specific agent infrastructure needs. The firm is open to conversations about systems that already fall over in interesting ways or those requiring long-duration execution. They emphasize that both scenarios are good starting points for a collaboration.
What specific technology stack does impacc use for agent loops?
impacc builds agent loops specifically on durable execution runtimes using Temporal. They treat tool calls as activities and subagents as child workflows within this architecture. This structure allows the system to resume at the exact step where a crash occurred instead of restarting from step one.
What features define their harness and runtime engineering?
Their harness and runtime engineering involves programmatic tool calling and recursive subagent trees. They also utilize sandboxed execution surfaces, ranging from embedded interpreters to determinism-hardened V8 isolates. These primitives are designed to converge on the frontier of harness capabilities built directly into the client stack.
What does their production reliability service include?
Production reliability covers failure taxonomies, retry and idempotency contracts, and cancellation semantics. They also implement replay-correct state recovery and test matrices that exercise all components without burning model calls. This unglamorous work is critical for deciding whether agents successfully ship to production.
What is the significance of the name impacc?
The name impacc is described as a Meta inside joke derived from saying 'impact' fast and often. The company states that impact is the only metric that matters, even though they dropped the 't' from the word. This branding choice reflects their focus on measurable outcomes over vibes.
What principles guide their approach to agent boundaries?
impacc emphasizes that workflows require rigor similar to distributed systems with event histories and retry policies. They argue that opaque sandbox calls can swallow durability guarantees, so granular activity boundaries are essential. Getting these boundaries right is presented as the core work of their engineering.
What recent technical developments have impacc implemented?
Their recent technical work includes deterministic interpreters designed specifically for model-authored programs. They also focus on V8 isolate hardening to ensure replay-correct execution during long-running agent sessions. These tools allow agents to step through code deterministically even after interruptions.
How does impacc validate their consulting methods?
The firm states that everything on their site comes from systems running in production, not just theory. They have shipped durable agent runtimes on Temporal using both Python and TypeScript. This hands-on experience forms the basis of their consulting methodology.
How can I contact impacc?
You can reach impacc by e-mail at [email protected].
What is the official website of impacc?
The official website of impacc is impacc.io.
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About impacc
impacc is an AI consulting firm that provides strategy and implementation services focused on AI infrastructure. The company builds durable agent runtimes, integrating agent harnesses with workflow engines such as Temporal, and works with tools including programmatic tool calling, recursive subagent trees, and sandboxed execution surfaces like V8 isolates. Its services cover harness and runtime engineering as well as production reliability, addressing concerns such as failure taxonomies, retry and idempotency contracts, cancellation semantics, and replay-correct state recovery. The firm's recent work spans Temporal-backed agent loops in Python and TypeScript, deterministic interpreters for model-authored programs, and V8 isolate hardening for replay-correct execution.
- Website
- impacc.io
- [email protected]
