Search conversation memory by meaning to recall prior decisions and context across sessions. Use a natural language query to find relevant entries instead of relying on recency.
MIT
206,076 tools. Last updated 2026-06-17 10:25
"Finding the Best Tool for Memory Context Across Agentic Sessions Using Augment Code" matching MCP tools:
- Store key context, decisions, and failures for recall across sessions. Capture information that git does not track.MIT
- Persist a plan, decision record, or code artifact to a venture's context filesystem for reuse across sessions and models.MIT
- Initialize a versioned context filesystem for a venture to persist plans, decisions, and code snippets across sessions.MIT
- Save key-value pairs to persistent memory across sessions for remembering user preferences, installed skills, or project context.MIT
- Compare agentic payment protocols across credential, signing, scope, rail, identity, and audit dimensions. Get a recommendation for your scenario.MIT
Matching MCP Servers
- Alicense-quality-maintenanceProvides enterprise-grade persistent memory for AI assistants with complete offline operation, enabling intelligent knowledge storage, branch-based organization, and smart search across project domains while keeping all data local and secure.Last updated
- Alicense-qualityBmaintenanceAn MCP server that provides dynamic codebase context to Claude Code through tools like hybrid search, recent changes, and symbol definitions, enhancing AI-assisted coding with local RAG.Last updatedMIT
Matching MCP Connectors
Cloudflare Workers MCP server: code-explainer
Corporate travel: search and book flights, hotels, rail and transfers, manage orders.
- Set the default memory repository for the plugin, persisting the selection across sessions within the same installation.MIT
- Store durable user facts and preferences after responding to maintain context across sessions without SDK integration.MIT
- Browse code examples from WWDC sessions with session context. Use them to find implementation patterns and see new API usage.MIT
- Record key-value notes in encrypted agent memory that persist across sessions. Use to store deployment preferences, rotation dates, or decisions from earlier sessions.AGPL 3.0
- Search raw Claude Code session transcripts to retrieve past conversation excerpts and full context from prior sessions.MIT
- Persist decisions, conventions, and lessons to recall in future sessions. Captures rationale and context so knowledge survives across Claude Code sessions.MIT
- Store a persistent memory that remains accessible across sessions and connected AI tools, so information written once can be recalled anywhere.MIT
- Search long-term memory shared across AI tools to find past preferences, decisions, or context using natural-language queries.MIT
- Save a trust-scored session summary to preserve verified context across conversations. Ensures key decisions and project details are injected into future sessions.MIT
- Retrieve working memory for a specific research session, or view the 20 most recent entries across all sessions.AGPL 3.0
- Before starting work, retrieve a condensed project context snapshot: recent sessions, favorites, and stats to load memory.MIT
- Save information like preferences, lessons, or project context to a persistent local database. Memories are retained across sessions and can be retrieved later.MIT
- Provides onboarding guidance for using the Memento memory system, including retrieval flows, storage protocols, and best practices for persistent project context.MIT
- Search full conversation history from past Claude Code sessions to retrieve detailed discussions, reasoning, and code decisions using natural language queries.MIT