Store and query multimodal agent heartbeat transitions with replay and sampling.
npx skills add https://github.com/jnesfield-bot/rho --skill replay-buffer-jnesfield-bot
Please help me install this Agent Skill. Skill: replay_buffer Source: https://github.com/jnesfield-bot/rho/tree/main/skills/replay-buffer Command: npx skills add https://github.com/jnesfield-bot/rho --skill replay-buffer-jnesfield-bot
This Skill provides a robust mechanism to store and retrieve all agent interactions, enabling detailed analysis, debugging, and learning from past experiences.
Record the current agent transition into the replay buffer located at './buffer'.
High-intent search queries and answers about installing and using this skill.
To record agent experiences for debugging, you log every heartbeat transition into a replay buffer, storing detailed context like observations, actions, and results for later querying and analysis.
An experience replay buffer is used to store and retrieve all multimodal agent interactions, enabling random sampling for training, full episode replay, and detailed analysis of past decision-making processes.
Yes, you can query the replay buffer archive by filtering on specific criteria including time, action type, success status, tags, and episodes to isolate exact sequences of events for debugging.
You replay a full episode by querying the replay buffer to examine the exact sequence of logged events, which helps identify the point of failure and understand the agent's decisions.
Yes, the replay buffer supports multimodal logging by recording agent state, actions, results, and attachments alongside every heartbeat transition within the stored experience archive.
You should avoid using a replay buffer if your agent workflow lacks discrete heartbeat transitions or if you do not need persistent querying, random sampling, or episode replay for training and debugging.
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