# Manage Learnings Source: https://www.hyperagent.com/docs/learning/manage-suggestions > For AI agents: the documentation index is at https://www.hyperagent.com/llms.txt and the complete documentation in one file at https://www.hyperagent.com/llms-full.txt. Any docs page is also served as Markdown by appending `.md` to its URL. Review and approve new learnings your agent proposes. Your agent files a proposal whenever it picks something up. Every one waits for you, and nothing changes what the agent knows until you accept it. Proposals collect out of the way until you have five minutes for them. Accept what's right, clear the rest in a couple of clicks, and the agent knows exactly what you approved. ## Where you'll see them [#where-youll-see-them] Proposals collect quietly rather than interrupting the work, which means you need to know where they went. They show up in three places, each suited to a different moment. ### Catch them alongside everything else waiting [#catch-them-alongside-everything-else-waiting] The Inbox is the single list of things that need you: approvals, failing schedules, and one row for pending learnings. It won't let you accept from there, deliberately, since a lesson deserves reading in context. Clicking through opens the Learning page. ### Review a lesson while the run is fresh [#review-a-lesson-while-the-run-is-fresh] The **Learning** tab in the thread's side panel carries a count of what this conversation proposed. This is the best place to judge a proposal, because the work that produced it is right there. Open **Insights** and act on each card in place. Memories offer Accept and Dismiss; skills offer **Quick** or **Interactive** instead of a plain Accept. ### Clear a backlog across every thread [#clear-a-backlog-across-every-thread] The Learning page gathers proposals from all your threads, grouped by the run that produced them. Filter by agent, or click a type to see every suggestion of that kind across threads at once, which is how near-duplicate ideas become obvious. Rubric proposals are the exception to all three. They wait on the [Rubrics surfaces](https://www.hyperagent.com/docs/learning/rubrics-and-evaluations) instead, because measuring quality is its own practice. ## Edit the card before you save it [#edit-the-card-before-you-save-it] A draft card is the record itself, not a summary of it. Every field is editable, so what saves is what you approved rather than what the agent guessed. ## What accepting does [#what-accepting-does] | Kind | What accepting it does | Where it lands | | ----------------------- | ---------------------------------------------------------------------------------------------------------------- | -------------------------------------------------------------------------------------------------------------------------------------------- | | **Memory** | Saves the memory, or refines the existing one it updates | Your memories, this agent's memories, or the team's shared memories, according to [Knowledge access](https://www.hyperagent.com/docs/concepts/agents/knowledge-access) | | **Skill** | **Quick** researches and builds the skill on its own; **Interactive** opens a guided skill-building conversation | Your [skills](https://www.hyperagent.com/docs/concepts/skills) library | | **Prompt** | Adds the refinement below your existing instructions | The agent's brief, or the thread's own instructions when no agent is attached | | **Agent configuration** | Applies the proposed change to the agent | The agent's configuration | A prompt suggestion can never erase what you wrote. It's appended below your instructions, and you see the full updated brief immediately. ## Clear a backlog quickly [#clear-a-backlog-quickly] Three controls clear proposals in bulk, so a busy week stays easy to work through: * On the Learning page, expand a thread and click **Select** above its suggestions to turn on checkboxes. Pick your rows, shift-click for a range, then **Dismiss**. * Filter to one agent and **Clear *N* suggestions** appears at the top of its panel, clearing everything pending for that agent across every thread. It asks first, and it leaves anything you already accepted alone. * Click a type badge to switch to the grouped view. Where the same idea arrived from several threads, that group carries **Dismiss All Variations**, which retires the whole cluster at once. ## Dismissing is final [#dismissing-is-final] A dismissed proposal won't come back, and that's what makes the queue safe to clear fast. Nothing you dismiss will nag you twice, so you can be decisive. If a dismissed idea turns out to be good, run **Suggest learnings** on a thread where it applies and the agent proposes it fresh. ## Manage what you've kept [#manage-what-youve-kept] Accepting is half the job. A tidy library keeps the agent sharp, because fewer and fresher memories mean the right one surfaces at the right moment. Three habits keep it that way. ### Archive rather than delete [#archive-rather-than-delete] Archiving takes something out of the agent's recall and keeps the record, so you can retire anything you're unsure about and get it back later. * Open the item's row menu, or its detail page, and choose **Archive**. Memories, skills, agents, rubrics, and threads all work this way * **Restore** returns an archived item to recall * On the Memories page, select several rows and use **Archive** in the bar that appears at the bottom * **Deleting** is the deliberate second step, available once something is archived You can also archive without leaving the conversation. When an agent saves a memory on its own, the chip it posts in the chat carries an archive button, so a lesson you disagree with can be retired the moment you read it. ### Merge duplicates so one fact has one home [#merge-duplicates-so-one-fact-has-one-home] * On the Memories page, select two or more rows and choose **Merge** from the bar at the bottom. You pick which memory survives and edit the combined content; the rest are archived * For a broader sweep, open the Memories page's header menu and choose **Dedupe memories**. It scans the library at a similarity threshold you set and walks you through each group * The agent guards this too, holding back an auto-save that looks close to something you already have and offering it as a card instead ### Keep a thinking-out-loud thread out of it [#keep-a-thinking-out-loud-thread-out-of-it] Some conversations are scratch space. Open the thread's menu, from the sidebar or the thread header, and choose **Exclude from knowledge**. The agent then won't search or read that thread from anywhere else. It's reversible, and it's offered on threads that aren't bound to an agent. ## FAQs [#faqs] No. It waits as a card in the thread and on the Learning page, and nothing becomes standing knowledge until you accept it. No, dismissal is final. If the idea was good, run Suggest learnings on a thread where it applies and the agent can propose it again. Before proposing anything, the agent reads your existing memories, skills, and pending proposals, then decides per candidate whether to create, refine, or skip. That's why a near-duplicate arrives as an update to an existing item rather than a second copy. Quick builds the skill on its own, researching the documentation for you. Use it for a straightforward service. Interactive opens a guided conversation in the thread so you shape the requirements. Use it when the skill needs your judgment. No. Archiving takes an item out of the agent's recall but keeps the record, and Restore undoes it. Deleting is permanent, and most types require archiving first so the destructive step is never the quick one. Proposals from threads with no agent attached. Accepting a prompt suggestion there updates that thread's own instructions, since there's no agent to carry it. To the Rubrics page and the thread's Rubrics tab. The Learning queue holds memories, skills, prompts, and configuration changes; see [Rubrics and evaluations](https://www.hyperagent.com/docs/learning/rubrics-and-evaluations).