Store and retrieve session context with ChromaDB embeddings.
npx skills add https://github.com/EliasOulkadi/shokunin --skill memory-eliasoulkadi
Please help me install this Agent Skill. Skill: memory Source: https://github.com/EliasOulkadi/shokunin/tree/main/.pack/skills/memory Command: npx skills add https://github.com/EliasOulkadi/shokunin --skill memory-eliasoulkadi
This Skill prevents you from re-explaining prior work by giving your AI persistent, searchable memory of past conversations, decisions, and code context.
Ask: "Remember that we agreed on the auth refactor approach and that session 7 used verify_file_path to validate file paths."
High-intent search queries and answers about installing and using this skill.
Persistent semantic memory for AI agent conversations is enabled by storing and retrieving session context with ChromaDB embeddings, allowing you to recall decisions and reuse prior solutions across separate conversations.
The best way to recall decisions from prior discussions is using query-time similarity search with project and topic scoping, which retrieves relevant past session summaries from a local vector store without mixing unrelated context.
You store and retrieve session context in ChromaDB by saving task-oriented summaries and checkpoints with metadata-tagged storage, then retrieving them via similarity search when starting new AI agent workflows.
Yes, local ChromaDB persistence is required to enable context recall for project scoping, as it provides the vector store infrastructure needed for metadata-tagged storage and similarity search.
Yes, you can delete specific entries from session summaries, as the system supports forgetting individual records and includes guardrails against irrelevant or overbroad queries during context retrieval.
AI agents fail to remember decisions without vector storage because they lack persistent semantic recall, making local ChromaDB embeddings and session-level saving necessary to retrieve past interactions.
aarushlohitStores and retrieves context from past AI conversations using ChromaDB vector database.
PatrityStore, search, and retrieve persistent memories across Claude sessions.
hwj123hwjSummarize the current conversation context into a handoff document for another agent.
Tommy-ywStore and query embeddings with metadata using chromadb and sentence-transformers.
