CLI now consumes the unified mem0_notice surface that the platform side
emits for unclaimed Agent Mode keys. The notice is a directive to the
LLM agent reading the output, with a verbatim sentence to relay to the
human owner. Two presentation paths:
- Human/text output: yellow stderr banner after the primary output,
once per command. Skipped in agent mode (the JSON envelope carries
it instead, so no duplication).
- JSON/agent output (--json/--agent): folded into the envelope as
"mem0_notice" so an agent parsing the output sees it without
inspecting HTTP headers.
CLI changes (Python + Node, kept in lockstep):
- state.{ts,py}: captureNotice / takeNotice helpers — last-write-wins
stash so multi-request commands fire the notice exactly once.
- backend/platform.{ts,py}: _request extracts notice from response
bodies (top-level dict or list[0]) with header fallback, strips
from downstream payload, captures for end-of-command surfacing.
- output.{ts,py}: JSON envelope formatters fold in any pending notice.
- index.ts / app.py: entrypoint surfaces notice on exit when not in
agent mode.
- commands/agent-mode.{ts,py}: init success path prints the platform's
notice verbatim (fallback to dim claim-command line if a stale
backend doesn't return it).
Init-flag handling fix: the Python argv preprocessor was stripping
--agent from sys.argv unconditionally as the global JSON-output alias.
That swallowed `mem0 init --agent` (where --agent is a subcommand flag
for unattended bootstrap). Now preserved when "init" is in argv.
Parity tests: cli/python/tests/test_agent_mode.py and
cli/node/tests/agent-mode.test.ts — 7 tests each, kept in sync.
cli-spec.json updated: init now lists --agent and --source.
Docs:
- README.md: Agent Mode promo at top of Quickstart.
- docs/llms.txt: fast-path block for AI agents reading the docs.
- skills/mem0/SKILL.md, skills/mem0-cli/SKILL.md,
skills/mem0-integrate/SKILL.md, mem0-plugin/skills/mem0/SKILL.md:
autonomous-setup section + fallback hints.
- mem0-plugin/README.md, openclaw/README.md: "Quick path for agents"
blocks above the human Quick Start.
Replace claim_via_device_flow / claimViaDeviceFlow with claim_via_otp /
claimViaOtp. The new flow:
1. POST /api/v1/auth/email_code/ with the user's email
2. Prompt for the verification code (or accept via --code for non-TTY)
3. POST /.../verify/ with {email, code, agent_mode_api_key: <local key>}
4. Backend's verify_email_code runs upgrade-in-place inline and returns
{claimed: true, claimed_at, ...}
No browser open, no localhost:3000 frontend dependency, no 10-minute poll
loop. Just two HTTP calls + an OTP prompt. Same upgrade-in-place
semantics on the backend; same key-value-unchanged guarantee for the
caller.
--code flag still supported on `mem0 init --email` for non-interactive
use (CI, agent-driven claim scripts).
Mirrors the Python implementation in TypeScript:
- New PlatformConfig fields: agentMode, createdVia, claimedAt, defaultUserId.
- agent-detect.ts: detectAgentCaller() — env-var detection covering
CLAUDECODE / CURSOR_AGENT / CODEX_CLI / CLINE / CONTINUE / AIDER /
GOOSE / WINDSURF.
- commands/agent-mode.ts: bootstrapViaBackend() + claimViaDeviceFlow().
- commands/init.ts: decision tree dispatches to bootstrap (positive agent
signal + no email/api-key) or claim (--email with existing agent-mode
config). Raw API key never leaves the device through the claim.
- index.ts: --agent and --source flags added to `mem0 init`. Skip the
preAction auto-fire for init so it can fire its own M1-M6 cli.init.
- telemetry.ts: all cli.* events now carry agent_mode based on
config.platform.agentMode (per growth-doc M4).
End-to-end verified against the sandbox:
bootstrap (CLAUDECODE=1) → config.agent_mode=true → claim via --email →
config.agent_mode=false, claimed_at set, api_key unchanged.
Mgeeeek