chore: automate agent memory capture

This commit is contained in:
2026-04-29 21:35:35 +03:00
parent 54f1ccc80d
commit 4c79695dd5
4 changed files with 369 additions and 1 deletions
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import { existsSync, mkdirSync, readFileSync, statSync, writeFileSync, appendFileSync } from "node:fs";
import { dirname, join, relative } from "node:path";
import type { ExtensionAPI } from "@mariozechner/pi-coding-agent";
type SessionMetric = {
type: string;
timestamp: string;
cwd: string;
sessionFile?: string;
data: Record<string, unknown>;
};
type MessageLike = {
role?: string;
content?: unknown;
};
type EntryLike = {
type?: string;
message?: MessageLike;
};
const MEMORY_ROOT = "docs/agent-memory";
const RAW_ROOT = ".agent-memory/raw";
const REPORT_ROOT = ".agent-memory/reports";
const STATE_ROOT = ".agent-memory/state";
const MAX_INJECT_CHARS = 9000;
const MAX_RAW_TEXT_CHARS = 1600;
const IDLE_TIMEOUT_MS = 5 * 60 * 1000;
const isoDate = (date = new Date()) => date.toISOString().slice(0, 10);
const isoTime = (date = new Date()) => date.toISOString();
const ensureDir = (path: string) => mkdirSync(path, { recursive: true });
const appendJsonl = (path: string, row: unknown) => {
ensureDir(dirname(path));
appendFileSync(path, `${JSON.stringify(row)}\n`, "utf8");
};
const readIfExists = (path: string, maxChars = MAX_INJECT_CHARS): string => {
if (!existsSync(path) || !statSync(path).isFile()) return "";
const text = readFileSync(path, "utf8").trim();
if (text.length <= maxChars) return text;
return `${text.slice(0, maxChars)}\n\n[truncated by agent-memory extension]`;
};
const truncate = (text: string, maxChars = MAX_RAW_TEXT_CHARS): string => {
const clean = text.replace(/\s+/g, " ").trim();
if (clean.length <= maxChars) return clean;
return `${clean.slice(0, maxChars)}... [truncated]`;
};
const extractTextParts = (content: unknown): string[] => {
if (typeof content === "string") return [content];
if (!Array.isArray(content)) return [];
const parts: string[] = [];
for (const part of content) {
if (!part || typeof part !== "object") continue;
const block = part as { type?: string; text?: string };
if (block.type === "text" && typeof block.text === "string") parts.push(block.text);
}
return parts;
};
const branchConversation = (entries: EntryLike[], maxMessages = 24) => {
const messages: Array<{ role: string; text: string }> = [];
for (const entry of entries) {
if (entry.type !== "message" || !entry.message?.role) continue;
const role = entry.message.role;
if (role !== "user" && role !== "assistant") continue;
const text = extractTextParts(entry.message.content).join("\n").trim();
if (!text) continue;
messages.push({ role, text: truncate(text) });
}
return messages.slice(-maxMessages);
};
const writeMetric = (cwd: string, metric: SessionMetric) => {
const day = isoDate();
appendJsonl(join(cwd, RAW_ROOT, `${day}.jsonl`), metric);
};
const memoryInjection = (cwd: string): string => {
const indexPath = join(cwd, MEMORY_ROOT, "index.md");
const changeLogPath = join(cwd, MEMORY_ROOT, "prompt-change-log.md");
const index = readIfExists(indexPath, 6000);
const changeLog = readIfExists(changeLogPath, 3000);
if (!index && !changeLog) return "";
return [
"## Project Agent Memory",
"",
"Use this as a compact index of reviewed project memory. Do not treat it as exhaustive; read cited files when relevant.",
"Never store secrets or raw private transcript content in reviewed memory.",
"",
index ? `### Memory Index\n\n${index}` : "",
changeLog ? `### Prompt Change Log\n\n${changeLog}` : "",
"",
"When the user gives a durable correction, says a prompt pattern worked, or reports an error/fix, suggest `/pi-remember` or `/pi-evolve` instead of relying on chat history.",
]
.filter(Boolean)
.join("\n");
};
export default function agentMemoryExtension(pi: ExtensionAPI) {
let sessionStartedAt = Date.now();
let currentPrompt = "";
let promptStartedAt = 0;
let lastAgentEndedAt = 0;
let turnStartedAt = 0;
let providerRequestStartedAt = 0;
let providerRequests = 0;
let providerResponses = 0;
let toolsStarted = 0;
let toolsErrored = 0;
const submittedPrompts: Array<{ at: string; text: string; pauseInclusiveGapMs?: number }> = [];
const baseMetric = (ctx: { cwd: string; sessionManager?: { getSessionFile?: () => string | undefined } }, type: string, data: Record<string, unknown>): SessionMetric => ({
type,
timestamp: isoTime(),
cwd: ctx.cwd,
sessionFile: ctx.sessionManager?.getSessionFile?.(),
data,
});
const captureSnapshot = (ctx: { cwd: string; sessionManager: { getBranch: () => EntryLike[]; getSessionFile?: () => string | undefined } }, note = "") => {
ensureDir(join(ctx.cwd, RAW_ROOT));
const row = baseMetric(ctx, "memory_snapshot", {
note,
sessionStartedAt: new Date(sessionStartedAt).toISOString(),
capturedAt: isoTime(),
prompts: submittedPrompts.slice(-20),
conversation: branchConversation(ctx.sessionManager.getBranch()),
});
writeMetric(ctx.cwd, row);
return row;
};
pi.on("session_start", async (_event, ctx) => {
sessionStartedAt = Date.now();
ensureDir(join(ctx.cwd, RAW_ROOT));
ensureDir(join(ctx.cwd, REPORT_ROOT));
ensureDir(join(ctx.cwd, STATE_ROOT));
writeMetric(ctx.cwd, baseMetric(ctx, "session_start", { pid: process.pid }));
});
pi.on("input", async (event, ctx) => {
if (event.source === "extension") return { action: "continue" };
const now = Date.now();
const pauseInclusiveGapMs = lastAgentEndedAt > 0 ? now - lastAgentEndedAt : undefined;
promptStartedAt = now;
currentPrompt = event.text;
submittedPrompts.push({
at: isoTime(new Date(now)),
text: truncate(event.text, 500),
pauseInclusiveGapMs,
});
writeMetric(ctx.cwd, baseMetric(ctx, "prompt_submitted", {
promptChars: event.text.length,
pauseInclusiveGapMs,
idleExcludedMs: pauseInclusiveGapMs && pauseInclusiveGapMs > IDLE_TIMEOUT_MS ? pauseInclusiveGapMs - IDLE_TIMEOUT_MS : 0,
}));
return { action: "continue" };
});
pi.on("before_agent_start", async (event, ctx) => {
const injection = memoryInjection(ctx.cwd);
if (!injection) return;
writeMetric(ctx.cwd, baseMetric(ctx, "memory_injected", {
promptChars: event.prompt.length,
injectionChars: injection.length,
indexPath: relative(ctx.cwd, join(ctx.cwd, MEMORY_ROOT, "index.md")),
}));
return {
systemPrompt: `${event.systemPrompt}\n\n${injection}`,
};
});
pi.on("agent_start", async (_event, ctx) => {
toolsStarted = 0;
toolsErrored = 0;
providerRequests = 0;
providerResponses = 0;
writeMetric(ctx.cwd, baseMetric(ctx, "agent_start", {
promptChars: currentPrompt.length,
promptSubmitToStartMs: promptStartedAt > 0 ? Date.now() - promptStartedAt : undefined,
}));
});
pi.on("turn_start", async (_event, ctx) => {
turnStartedAt = Date.now();
writeMetric(ctx.cwd, baseMetric(ctx, "turn_start", {}));
});
pi.on("before_provider_request", (event, ctx) => {
providerRequests += 1;
providerRequestStartedAt = Date.now();
writeMetric(ctx.cwd, baseMetric(ctx, "provider_request_start", {
providerRequestIndex: providerRequests,
payloadKeys: event.payload && typeof event.payload === "object" ? Object.keys(event.payload as Record<string, unknown>).sort() : [],
}));
});
pi.on("after_provider_response", (event, ctx) => {
providerResponses += 1;
writeMetric(ctx.cwd, baseMetric(ctx, "provider_response_headers", {
providerResponseIndex: providerResponses,
status: event.status,
headerLatencyMs: providerRequestStartedAt > 0 ? Date.now() - providerRequestStartedAt : undefined,
}));
});
pi.on("tool_execution_start", async (event, ctx) => {
toolsStarted += 1;
writeMetric(ctx.cwd, baseMetric(ctx, "tool_start", {
toolName: event.toolName,
}));
});
pi.on("tool_execution_end", async (event, ctx) => {
if (event.isError) toolsErrored += 1;
writeMetric(ctx.cwd, baseMetric(ctx, "tool_end", {
toolName: event.toolName,
isError: event.isError,
}));
});
pi.on("turn_end", async (_event, ctx) => {
writeMetric(ctx.cwd, baseMetric(ctx, "turn_end", {
turnDurationMs: turnStartedAt > 0 ? Date.now() - turnStartedAt : undefined,
}));
});
pi.on("agent_end", async (_event, ctx) => {
const now = Date.now();
lastAgentEndedAt = now;
writeMetric(ctx.cwd, baseMetric(ctx, "agent_end", {
agentDurationMs: promptStartedAt > 0 ? now - promptStartedAt : undefined,
providerRequests,
providerResponses,
toolsStarted,
toolsErrored,
}));
captureSnapshot(ctx, "automatic agent_end snapshot");
});
pi.on("session_before_compact", async (event, ctx) => {
writeMetric(ctx.cwd, baseMetric(ctx, "session_before_compact", {
tokensBefore: event.preparation?.tokensBefore,
firstKeptEntryId: event.preparation?.firstKeptEntryId,
}));
});
pi.on("session_shutdown", async (event, ctx) => {
writeMetric(ctx.cwd, baseMetric(ctx, "session_shutdown", {
reason: event.reason,
sessionDurationMs: Date.now() - sessionStartedAt,
promptsSeen: submittedPrompts.length,
}));
});
pi.registerCommand("memory-status", {
description: "Show agent memory automation status",
handler: async (_args, ctx) => {
const day = isoDate();
const rawPath = join(ctx.cwd, RAW_ROOT, `${day}.jsonl`);
const indexPath = join(ctx.cwd, MEMORY_ROOT, "index.md");
const message = [
`Memory index: ${existsSync(indexPath) ? relative(ctx.cwd, indexPath) : "missing"}`,
`Raw metrics today: ${existsSync(rawPath) ? relative(ctx.cwd, rawPath) : "none yet"}`,
`Prompts observed this session: ${submittedPrompts.length}`,
`Provider requests this turn: ${providerRequests}`,
].join("\n");
if (ctx.hasUI) ctx.ui.notify(message, "info");
else console.log(message);
},
});
pi.registerCommand("memory-capture", {
description: "Capture a private raw snapshot for later memory compilation",
handler: async (args, ctx) => {
const row = captureSnapshot(ctx, args.trim() || "manual capture");
const rawPath = join(ctx.cwd, RAW_ROOT, `${isoDate()}.jsonl`);
pi.appendEntry("agent-memory-capture", row);
const message = `Captured private memory snapshot: ${relative(ctx.cwd, rawPath)}`;
if (ctx.hasUI) ctx.ui.notify(message, "success");
else console.log(message);
},
});
pi.registerCommand("memory-compile", {
description: "Capture current session and ask Pi to compile durable memory/evolution changes",
handler: async (args, ctx) => {
if (!ctx.isIdle()) {
if (ctx.hasUI) ctx.ui.notify("Agent is busy. Run /memory-compile after the current turn finishes.", "warning");
return;
}
captureSnapshot(ctx, args.trim() || "compile request");
const goal = args.trim() || "Compile durable lessons from the latest private memory snapshot and propose prompt evolution only if evidence is strong.";
pi.sendUserMessage(`/pi-evolve ${goal}`);
},
});
}