Amp
An agent platform whose agents can schedule wake-ups, retain context, and trigger workflows. Useful for PMs exploring persistent, scheduled AI automation tied into collaboration tools.
Key Highlights
- Amp focuses on persistent agents that can retain context, wake on schedules, and continue work over time.
- Its Slack and Puck integrations position agents as collaborators for debugging, triage, and operational workflows.
- Amp supports custom agents, remote thread creation, and multi-agent orchestration for more advanced automation patterns.
- The product abstracts model complexity with a simple capability dial mapped to different model and reasoning stacks.
- Orb sizing, speed improvements, and diff review features make Amp relevant for engineering-heavy AI product workflows.
Amp
Overview
Amp is an agent platform focused on persistent, operational AI workflows rather than one-off chat interactions. Its agents can retain prompt, context, and history across sessions; wake themselves on schedules; spawn other agents; and integrate into collaboration surfaces like Slack and Puck. Across recent product updates, Amp has also expanded into remote agent execution, customizable agent creation, code diff review, cloud runtime sizing via Orbs, and model-routing abstractions that hide underlying model complexity behind a simple capability dial.For AI Product Managers, Amp matters because it points toward a practical operating model for agentic software: background agents that monitor systems, triage issues, collaborate in team tools, and continue work over time without manual restarts. It is especially relevant for PMs exploring persistent automation for engineering, support, incident response, and internal ops, where context continuity, scheduling, and workflow orchestration are often more important than raw model quality alone.
Key Developments
- 2026-05-26: Amp upgraded its Painter tool to GPT Image 2, claiming stronger preservation of text, typography, and visual style in UI screenshot edits at roughly one-quarter the cost of Gemini 3 Pro Image.
- 2026-06-05: Opus 4.8 replaced Opus 4.7 in Amp’s smart mode, improving internal task success from 52% to 62%, increasing tool use and testing behavior, and introducing a faster mode with lower token cost overhead than before.
- 2026-06-06: Amp reported major speed gains for deep and rush modes: first token 87% faster, p50 full responses 32% faster, and up to 40% end-to-end speedups on long-horizon tasks, driven in part by WebSockets for OpenAI communication.
- 2026-06-17: Amp added in-product diff review on desktop and mobile, letting users inspect code changes, request edits on specific sections, and interactively stage changes while an environment is active.
- 2026-06-20: Amp introduced custom agents via plugins, allowing teams to define agents for main workflows or subagent roles, include them in tool pipelines, and spawn up to 25 worker agents.
- 2026-07-04: Amp expanded Orb runtime options to four sizes—a0.tiny, a0.small, a0.medium, and a0.large—and doubled included storage from 20GB to 40GB, giving teams more control over infrastructure cost/performance tradeoffs.
- 2026-07-09: Amp launched remote thread creation, enabling users to start new agents remotely from any Amp client or headless runner, with support for multiple runners on the same machine across different working directories.
- 2026-07-10: Amp replaced named modes with a four-position capability dial—low, medium, high, ultra—that maps to different model and reasoning-effort stacks, simplifying model selection while preserving flexibility.
- 2026-07-21: Amp expanded its Slack integration, allowing teams to mention @Amp to route work into personal Puck workflows that can read screenshots, reproduce bugs, identify culprit commits, pull logs, push fixes to Terraform, notify teammates, archive threads, and search Slack context.
- 2026-07-22: Amp enabled scheduled wake-ups for agents, letting them resume with saved prompt, context, and history, while integrating these wake-ups with Slack, Puck, and spawning other agents for recurring operational automations.
Relevance to AI PMs
1. Designing persistent agent workflows: Amp is a concrete example of how agents can move beyond request-response chat into scheduled, stateful automation. PMs can use it as a reference for products that need recurring monitoring, follow-up work, and long-running task ownership.2. Operationalizing AI inside team tools: Amp’s Slack and Puck integrations show how agent experiences can be embedded where users already work. PMs can study this pattern for bug triage, support escalation, incident review, and collaborative software delivery.
3. Balancing capability, speed, and cost: With its capability dial, multiple underlying model stacks, orb sizing, and performance improvements, Amp demonstrates product patterns for abstracting model complexity while still giving teams practical levers for latency, quality, and infrastructure spend.
Related
- Slack: A key collaboration surface for Amp’s workflow integrations, including @Amp mentions, notifications, and automated reporting.
- Puck: Closely tied to Amp’s collaboration and personal workflow routing, especially in Slack-based debugging and task execution flows.
- OpenAI / GPT-5.5 / GPT-5.6 Sol / GPT-5.6 Terra / GPT Image 2: Amp uses OpenAI models across agent orchestration, reasoning stacks, and image editing workflows.
- Anthropic / Claude / Claude Fable 5 / Opus 4.7 / Opus 4.8: Amp routes work across Anthropic model families for writing, smart mode, and oracle behavior.
- GLM-5.2: Used in Amp’s low capability setting, indicating a multi-model strategy rather than vendor lock-in.
- Terraform: Mentioned in Amp’s Slack workflow examples as a destination for fixes, underscoring infrastructure and DevOps use cases.
- Chronicle / Ampcode Chronicle: The recurring source of product announcements and feature updates referenced here.
- Custom agents, deep mode, rush mode, diff algorithm, Orb, remote thread creation: These are core Amp product concepts that define its positioning as an agent operations platform.
Newsletter Mentions (15)
“Amp agents can now set schedules to wake themselves with their saved prompt, full context, and history so they continue exactly where they left off, and these scheduled wake-ups integrate with Slack, Puck, and spawning other agents.”
Amp agents can now set schedules to wake themselves with their saved prompt, full context, and history so they continue exactly where they left off, and these scheduled wake-ups integrate with Slack, Puck, and spawning other agents. Example uses include a morning task that digs up the five slowest database queries from the past 24 hours and DMs the results on Slack, an hourly inference-error-triage that groups errors and spins up fix threads reported to #bugs, and ten-minute checks on long-running backfill jobs that ping if they stall or error.
“Amp's Slack integration lets teams mention @Amp to send messages to their personal Puck, which can read screenshots to reproduce bugs and post fixes, identify culprit commits and pull production logs to push fixes to Terraform, notify teammates and archive threads, and search Slack for relevant discussion.”
The Ampcode Chronicle describes Amp’s Slack-based workflow for debugging and team collaboration.
“Amp replaced named agent modes with a four-position capability dial — low, medium, high, ultra — switchable with Ctrl+S or the web picker, and wired to specific model + reasoning-effort stacks: ultra = Claude Fable 5 (writer) with GPT-5.6 Sol as oracle; high = GPT-5.6 Sol at xhigh with Claude Fable 5 as oracle; medium = GPT-5.6 Sol at medium (with a high-effort Sol oracle); low = GLM-5.2 (admins may opt for GPT-5.6 Terra low) with GPT-5.6 Sol as oracle.”
The Chronicle item explains how Amp maps different models and reasoning levels to a single capability dial.
“Amp now lets you start new agents remotely from anywhere you can run amp; enable remote thread creation with the command amp: enable remote creation of threads or by setting amp.remoteThreadCreation.enabled to true in ~/.config/amp/settings.json, after which every Amp client will accept and run new threads in its working directory.”
Ampcode Chronicle Agents, Anywhere - Amp now lets you start new agents remotely from anywhere you can run amp; enable remote thread creation with the command amp: enable remote creation of threads or by setting amp.remoteThreadCreation.enabled to true in ~/.config/amp/settings.json, after which every Amp client will accept and run new threads in its working directory. Use runner mode with amp --no-tui to run headless runners that only wait to start and run new threads; you can run multiple runners on the same machine if started in different directories, each runner identified by host and working directory, and directories need not be version controlled.
“Amp now offers four orb sizes: a0.tiny (1 CPU, 2GB memory, 40GB disk, $0.10/hour), a0.small (2 CPUs, 4GB, 40GB, $0.21/hour), a0.medium (8 CPUs, 16GB, 40GB, $0.83/hour) and a0.large (16 CPUs, 32GB, 40GB, $1.66/hour) which is the default; orb storage has been doubled from 20GB to 40GB at no extra cost and you can change a project's orb size in Project Settings.”
#8 📝 Ampcode Chronicle More Orb Sizes - Amp now offers four orb sizes: a0.tiny (1 CPU, 2GB memory, 40GB disk, $0.10/hour), a0.small (2 CPUs, 4GB, 40GB, $0.21/hour), a0.medium (8 CPUs, 16GB, 40GB, $0.83/hour) and a0.large (16 CPUs, 32GB, 40GB, $1.66/hour) which is the default; orb storage has been doubled from 20GB to 40GB at no extra cost and you can change a project's orb size in Project Settings.
“You can create custom agents in Amp via plugins and use them as main agents or subagents, include them in tool pipelines or spawn up to 25 worker agents, with each agent getting a custom orb color.”
#5 📝 Ampcode Chronicle Custom Agents - You can create custom agents in Amp via plugins and use them as main agents or subagents, include them in tool pipelines or spawn up to 25 worker agents, with each agent getting a custom orb color. The examples show amp.createAgent using model openai/gpt-5.5, registering a focused_review tool and an agent mode, and demonstrate thread APIs—createThread, appendUserMessage (returns immediately), waitForResponse—and an async start_async_review tool that spawns a background thread and returns Started background review in ${thread.id}.
“#16 📝 Ampcode Chronicle Diffs - Amp now lets you review any thread's code changes directly in Amp on desktop or mobile, scroll through diffs, request changes on specific sections, and interactively stage edits while a thread has an active environment.”
#16 📝 Ampcode Chronicle Diffs - Amp now lets you review any thread's code changes directly in Amp on desktop or mobile, scroll through diffs, request changes on specific sections, and interactively stage edits while a thread has an active environment. The diff algorithm detects duplicate blocks to highlight true changes (example: showing only the removed if-branch), and you can open the current thread's diff in your browser from the terminal via the command palette shortcut Ctrl‑O.
“Amp's deep and rush modes now deliver the first token 87% faster and p50 full responses 32% faster, mainly by switching to WebSockets for OpenAI communication and from a rebuild of Amp last month; on long-horizon tasks end-to-end speedups reach up to 40%.”
#20 📝 Ampcode Chronicle Faster Deep & Rush - Amp's deep and rush modes now deliver the first token 87% faster and p50 full responses 32% faster, mainly by switching to WebSockets for OpenAI communication and from a rebuild of Amp last month; on long-horizon tasks end-to-end speedups reach up to 40%.
“Opus 4.8 replaces Opus 4.7 in Amp's smart mode and solved 62% of tasks in Amp's internal evals (up from 52% for 4.7), running tests and code 15% more per task while making tighter, more focused edits.”
#14 📝 Ampcode Chronicle Opus 4.8 - Opus 4.8 replaces Opus 4.7 in Amp's smart mode and solved 62% of tasks in Amp's internal evals (up from 52% for 4.7), running tests and code 15% more per task while making tighter, more focused edits. It reaches for external tools more appropriately—calling librarian 14 times versus 1 for 4.7 and using edit_file for 79% of file edits (up from 63%)—drops the Read tool, and adds a ~2.5× fast mode that costs 2× base tokens (down from 6× on 4.7).
“#11 📝 Ampcode Chronicle GPT Image 2 Paints Better - Amp's painter tool now uses GPT Image 2, which Amp claims outperforms Gemini 3 Pro Image at preserving existing text, typography, and visual style when editing UI screenshots while costing roughly one-quarter the price.”
#11 📝 Ampcode Chronicle GPT Image 2 Paints Better - Amp's painter tool now uses GPT Image 2, which Amp claims outperforms Gemini 3 Pro Image at preserving existing text, typography, and visual style when editing UI screenshots while costing roughly one-quarter the price. In an example thread, Painter converted a screenshot of the Chronicle page into an updated design while retaining its original visual style.
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