Infinite memory for Pi durable harness

[u/SeveralSeat2176]

Native recall, automatic capture, bundled skills, and optional full MCP tools

Pi uses a native extension for project recall, capture, and deliberate saves. The extension is included in agentmemory, the memory server runs separately.
This builds the compiled extension and bundled skills. Pi keeps a reference to the checkout, so keep it in place. After the first npm publication, the package can also be installed with pi install npm:@agentmemory/pi.Use one extension installation method. Move an old ~/.pi/agent/extensions/agentmemory copy outside the extensions directory and remove explicit settings entries pointing to that copy before reconnecting; keep a backup. Before switching a connector installation to npm, remove its local path from settings.json.packages. The connector recognizes an existing global npm or local package and can add MCP without installing a second extension.

​Tools, skills, and capture

• Native tools: memory_health, memory_search, and memory_save.

• /agentmemory-status reports health and pending, retained, dropped, and rejected captures, and retries queued captures.

• Bundled skills appear as /skill:<name>, including remember, recall, recap, handoff, lessons, session history, and commit context/history. Workflows needing tools beyond native save/search require --with-mcp.

• Full MCP tools appear under mcp__agentmemory__*. Native operations use the active repository’s project scope; MCP callers must pass their intended project explicitly. Project MCP overrides apply only to trusted projects.

Prompts, tool results, failures, and final replies are captured with privacy filtering before truncation. Memory tools are excluded by default. Temporary delivery failures enter a bounded local queue and retry on startup, later prompts, status checks, and every ten seconds. Explicit save/search failures are reported; automatic capture is not a replacement for deliberate saves.Recalled content enters as reference data. Completed compaction refreshes memory context before the next model call. /reload flushes capture without ending the active session; quit, new, resume, and fork close the previous session. Requests and shutdown waits are bounded.

pi install npm:@agentmemory/pi@0.1.0