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Store and retrieve agent lessons to improve tasks and avoid repeated mistakes.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "recall-memory-mcp" yet — see the docs or source repo.
Record a procedural memory for this code-fixing task: when Node.js unit tests fail because of timezone issues, first set TZ=UTC and use fixed time fixtures; retrieve this lesson first for similar errors in the future.
The tool stores a reusable debugging lesson and surfaces it first in similar future tasks.
Retrieve past memories related to 'outdated competitor research' and summarize actionable rules; if prior lessons say to verify publication dates and cross-check two source types, make them priority steps for this task.
It returns the most relevant past lessons and turns them into actionable validation steps.
Analyze procedural memories not retrieved in the last 90 days, delete or down-rank entries unrelated to the current workflow, and keep high-hit lessons that reduce repeated errors.
It produces a leaner memory store that preserves relevant lessons and lowers context overhead.
Give MCP clients durable memory for recalling user and project context.
Give AI assistants persistent memory, adaptive recall, and graph-based knowledge retrieval.
Let AI agents store, search, and recall memories that improve over time.
Give AI agents persistent memory with semantic search and automatic linking.
Give AI agents persistent memory and semantic retrieval across conversations.
Give AI agents persistent memory, recall, and context management across sessions