guava-memoryStructured episodic memory system that records task outcomes with Q-values, searches past successes, and promotes reliable procedures for reuse.
Install via ClawdBot CLI:
clawdbot install koatora20/guava-memoryGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Generated Mar 21, 2026
Agents record successful and failed troubleshooting steps for recurring customer issues, promoting effective solutions into reusable procedures. This reduces resolution time and improves first-contact resolution rates by leveraging past experiences.
Developers log debugging episodes for common bugs, capturing context and outcomes to avoid repeating mistakes. Successful patterns are promoted into skill guides, accelerating onboarding and reducing error recurrence in agile teams.
Marketing teams document campaign episodes with success/failure patterns and Q-values to optimize future strategies. This enables data-driven decision-making by prioritizing high-performing tactics and avoiding past anti-patterns.
Medical staff record procedural episodes for patient care, tracking adherence to protocols and outcomes. Successful methods are promoted into standardized skills, enhancing safety and efficiency in clinical workflows.
Sales agents log interactions with leads, noting successful qualification techniques and common pitfalls. High-Q-value episodes are turned into skill procedures, improving conversion rates and training new team members effectively.
Offer GuavaMemory as a cloud-based service with tiered pricing for storage and search capabilities, targeting teams needing scalable episodic memory. Revenue streams include monthly subscriptions and premium features like advanced analytics.
Sell on-premise licenses to large organizations requiring data privacy and customization, with support and training packages. This model ensures high-value contracts and long-term partnerships in regulated industries.
Provide a free basic version for individual users, monetizing through paid add-ons like enhanced search, integration tools, and skill promotion features. This attracts a broad user base and converts power users to paying customers.
💬 Integration Tip
Start by setting up the memory directories and index as shown in Quick Start, then integrate the episodic memory rules into your agent workflow for seamless task recording and retrieval.
Scored Apr 19, 2026
Search and analyze your own session logs (older/parent conversations) using jq.
Typed knowledge graph for structured agent memory and composable skills. Use when creating/querying entities (Person, Project, Task, Event, Document), linkin...
Enable and configure Moltbot/Clawdbot memory search for persistent context. Use when setting up memory, fixing "goldfish brain," or helping users configure memorySearch in their config. Covers MEMORY.md, daily logs, and vector search setup.
Ultimate AI agent memory system for Cursor, Claude, ChatGPT & Copilot. WAL protocol + vector search + git-notes + cloud backup. Never lose context again. Vibe-coding ready.
Local memory management for agents. Compression detection, auto-snapshots, and semantic search. Use when agents need to detect compression risk before memory loss, save context snapshots, search historical memories, or track memory usage patterns. Never lose context again.
Audit, clean, and optimize Clawdbot's vector memory (LanceDB). Use when memory is bloated with junk, token usage is high from irrelevant auto-recalls, or setting up memory maintenance automation.