MCP Servers · Memory

Goldentrii/AgentRecall

Name: Goldentrii/AgentRecall
Author: Various

Persistent, correction-driven memory for AI agents. Cross-session, cross-platform (Claude Code, Codex, Gemini — any MCP client).

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Our verdict

Not reviewed yet

We have not reviewed Goldentrii/AgentRecall yet

No one at Enterprise DNA has checked this listing against its sources. The description comes from public listings gathered automatically. Any fact below shows where it came from and when it was last checked.

How we review records

From the listing

About Goldentrii/AgentRecall

AgentRecall is a persistent memory layer for AI agents that works across sessions and platforms via the Model Context Protocol (MCP). It stores corrections and learnings from agent mistakes, compresses context to reduce token usage, and consolidates knowledge overnight. The tool is available as an npm package (agent-recall-mcp) and is written in TypeScript.

Best for

Developers running multiple AI agent sessions who want persistent, cost-efficient memory that improves from errors.

Use cases

Give an agent long-term memory across Claude Code, Codex, and Gemini sessions
Automatically capture and apply corrections from agent mistakes
Reduce token costs by compressing and consolidating context overnight

Notes

303 stars on GitHub. Last updated 2026-06-18. Licensed MIT.

Pros

Cross-platform support via MCP works with multiple agent tools
Reduces token usage through automatic context compression
Learns from mistakes without manual intervention

Cons

Requires MCP-compatible client to function
Overnight consolidation may delay knowledge updates
Limited to correction-driven memory, not general-purpose storage

Key facts

What we have checked

Not checked yet. Dated facts such as prices, releases and repository activity appear here once we have confirmed them from a source.

How to use

How to set it up

As the listing publishes it. We have not run this install.

Install

npx agent-recall-cli recall "rate limiting"

Tools exposed

session_start
session_end

Clients the listing names (not checked here)

Claude Code, Cursor, Windsurf, VS Code, ChatGPT

Example client config

{
  "mcpServers": {
    "agent-recall": {
      "command": "npx",
      "args": [
        "-y",
        "agent-recall-mcp"
      ]
    }
  }
}

Install

Add Goldentrii/AgentRecall to your client

Not verified yet

No install recipe yet. We write one for Claude Code, Claude Desktop, Cursor, VS Code, Codex and ChatGPT when the server is in the official MCP registry with a package or remote address we can use.

Until then, follow the project's own README, or the setup the listing publishes under How to set it up.

Works with

What Goldentrii/AgentRecall connects to

No confirmed connections yet. A product appears here when the server's registry name, repo, homepage or name ties it to that product, and a client appears when we have an install recipe for it.

Alternatives

Alternatives to Goldentrii/AgentRecall

Record	Type	How we know	Checked
topoteretes/cogneeThis is an alternative to it	MCP server	Named in the listing	Not dated
vectorize-io/hindsightThis is an alternative to it	MCP server	Named in the listing	Not dated