AgentRecall offers a unique correction-first memory approach and an honest measurement framework, but its current self-reported numbers are low (e.g., capture recall 35.3%, transfer recall 0/4), indicating that its utility is still being validated. Suitable for Claude Code users who value auditability and local control, provided they actively follow the session loop.
AgentRecall is a correction-first agent memory system that provides an MCP server, SDK, and CLI. It records every correction you make to your agent as a structured entry with severity, evidence, and outcome tracking, persisting across sessions, projects, and restarts. Its distinctive corrections ledger and measurement harness track whether a correction actually changes agent behavior in later sessions—not just retrieval. All memory is stored locally in Markdown files by default, with an optional Supabase mirror for vector semantic search.
claude mcp add --scope user agent-recall -- npx -y agent-recall-mcp in Claude Code. For other clients, use the JSON configuration. 2. In the first message of every new session, run the loop: call session_start to load context, call remember with type "correction" when corrected, and session_end at session end. 3. Optionally install the SDK (npm install agent-recall-sdk) or CLI (npx agent-recall-cli).{
"mcpServers": {
"agent-recall": {
"command": "npx",
"args": [
"-y",
"agent-recall-mcp"
]
}
}
}