OpenClaw v2026.4.29: People-Aware Memory, NVIDIA & Auto Follow-Ups

May 1, 2026
OpenClaw v2026.4.29: people-aware Memory Wiki, NVIDIA provider, opt-in follow-up commitments, and 6 new locales for global AI SDR pipelines.

OpenClaw v2026.4.29: People-Aware Memory, NVIDIA Provider & Auto Follow-Up Commitments

May 1, 2026 · 8 min read

OpenClaw v2026.4.29 is the biggest memory and automation release in months. The headline features — a people-aware Memory Wiki, a new NVIDIA inference provider, opt-in follow-up commitment system, and 6 new locales — directly address the hardest problems in enterprise B2B sales automation: who does your agent actually know, how does it remember them across conversations, and how does it reliably follow up without human hand-holding?

If you run an AI SDR pipeline on OpenClaw (or are evaluating whether to), here is everything that matters in this release and what it means for your revenue operations.

The Problem: AI SDRs Forget People

The #1 complaint from B2B teams using AI sales agents is not hallucination or tone — it is amnesia. The agent closes a great conversation with a procurement manager at a target account, then three days later treats the same contact like a stranger. No name, no prior context, no relationship continuity.

OpenClaw v2026.4.29 attacks this problem directly with the People-Aware Memory Wiki.

People-Aware Memory Wiki: Know Every Contact Across Every Channel

The Memory system now maintains a people wiki alongside its existing conversation memory. Each contact your agent interacts with gets a structured person record:

  • Person cards — name, role, company, inferred decision-making authority
  • Canonical aliases — the same person on WhatsApp, Telegram, and email resolves to one deduplicated record
  • Relationship graphs — who reports to whom, procurement chain structure, key influencer mapping
  • Provenance views — which conversations produced which facts, with full source tracing for compliance audits

For B2B export teams, relationship graphs are the killer feature. Your agent can now reason about org structure:

"Liu Wei is the procurement manager who reports to Director Zhang, who signed off on the last purchase order."

That is the kind of context that moves deals — previously locked inside the heads of your most experienced sales reps, now maintained automatically by the AI.

Active Memory filters also land in v2026.4.29: per-conversation allowedChatIds and deniedChatIds let you wall off memory context by channel or contact group. Keep enterprise account memory separate from SMB prospect pools, or enforce GDPR data-separation between regional deployments, without additional infrastructure.

Opt-In Follow-Up Commitments: Your AI SDR Keeps Its Word

The second headline feature is the commitment system for agent follow-ups.

When an agent says "I'll send you the spec sheet tomorrow" or "I'll follow up after you've had a chance to review," those are commitments — promises that previously lived only in conversation context and were forgotten the moment the session closed.

v2026.4.29 introduces opt-in inferred follow-up commitments with heartbeat delivery:

  1. The agent detects commitment language during a conversation
  2. The commitment is extracted and persisted (hidden batched extraction — zero UX friction)
  3. On the configured heartbeat schedule, the agent delivers the follow-up to the right contact via the right channel
  4. Commitments are scoped per-agent and per-channel — your WhatsApp agent's follow-ups do not bleed into your Telegram pipeline

This transforms your AI SDR from a reactive chat interface into a proactive account manager that keeps its word automatically. No human reminder needed.

NVIDIA Provider: High-Throughput Inference at Scale

NVIDIA joins OpenClaw's bundled provider ecosystem in v2026.4.29 with full API-key onboarding and a static model catalog. This matters for two scenarios:

High-volume pipelines: Teams processing 1,000+ daily conversations need inference that can scale without hitting rate limits on cloud APIs. NVIDIA's GPU clusters offer high-throughput inference with predictable latency.

On-premise deployments: If your enterprise already runs NVIDIA GPUs for other workloads, you can now route OpenClaw inference through your existing hardware — keeping all conversation data on your network. Combined with the v2026.4.27 GPU passthrough for Docker sandbox, v2026.4.29 completes the story for fully air-gapped, on-premise AI SDR deployment on NVIDIA hardware.

Get started with the NVIDIA provider by setting your API key in your OpenClaw config:

curl -fsSL https://raw.githubusercontent.com/iPythoning/b2b-sdr-agent-template/main/install.sh | bash

6 New Locales: Expand Into New Markets Instantly

OpenClaw's locale registry expands with Persian (Farsi), Dutch, Vietnamese, Italian, Arabic, and Thai in v2026.4.29.

For B2B export operations, this directly unlocks new target markets where you can operate in the buyer's native language:

Locale Target Markets
Arabic GCC, MENA — high-value procurement for infrastructure and energy
Vietnamese Vietnam — fast-growing manufacturing export destination
Thai Thailand — automotive parts and electronics procurement
Dutch Netherlands, Belgium — major EU trading hubs
Italian Italy — precision manufacturing and luxury goods procurement
Persian (Farsi) Iran, Afghanistan — significant industrial import markets

Your AI SDR can now operate natively in the buyer's language across these markets without any additional localization work on your end.

Security: alsoAllow Now Required (Breaking Change)

Important for users with custom tool-profile configurations.

Prior to v2026.4.29, configured tool sections could implicitly widen restrictive security profiles. As of v2026.4.29, explicit alsoAllow entries are required to grant any expansion beyond a restrictive profile.

If you have custom tool configurations, audit your alsoAllow entries before upgrading — any implicit expansions will fail closed after the upgrade. If you use default profiles, the upgrade is drop-in safe.

This is the correct default for enterprise deployments where tool-access scope should be explicit and auditable.

Channel & Gateway Reliability: 100+ Bug Fixes

v2026.4.29 includes over 100 bug fixes across channels. The most impactful for B2B SDR deployments:

  • WhatsApp: Improved delivery confirmation and liveness checking — fewer silent failures when connectivity degrades during high-volume outbound sequences
  • Telegram: Long-polling client timeout fixes and improved message-edit durability for streaming — more reliable for broadcast sequences and real-time reply flows
  • Slack: Bot-authored messages with allowBots=true must now be explicitly channel-allowlisted (security hardening)
  • Gateway: Startup diagnostics timeline and event-loop readiness checks for faster operational root-cause analysis
  • Docker: New OPENCLAW_SKIP_ONBOARDING environment variable enables fully automated, headless enterprise deployments

PulseAgent + OpenClaw v2026.4.29: Deploy in 60 Seconds

The fastest path to running v2026.4.29 on a production B2B SDR pipeline:

curl -fsSL https://raw.githubusercontent.com/iPythoning/b2b-sdr-agent-template/main/install.sh | bash

PulseAgent handles OpenClaw version management, channel configuration, and the memory/skills layer — so you get the people wiki, follow-up commitments, and NVIDIA provider out of the box without infrastructure work.

Start your free trial →

Or if you are evaluating costs for a team rollout: View pricing →

Comparison: OpenClaw v2026.4.27 → v2026.4.29

Capability v2026.4.27 v2026.4.29
Memory system Conversation memory People wiki + relationship graphs
Follow-up automation Manual or cron Opt-in inferred commitments + heartbeat
AI providers Bedrock, DeepInfra, Cerebras + NVIDIA
Supported locales Standard set + Persian, Dutch, Vietnamese, Italian, Arabic, Thai
Tool security Implicit profile widening Explicit alsoAllow required
Docker automation Interactive onboarding OPENCLAW_SKIP_ONBOARDING env var
Channel fixes — 100+ WhatsApp/Telegram/Slack fixes

FAQ

Q: Is upgrading from v2026.4.27 safe for production? A: The breaking change is confined to tool-profile configurations with implicit expansions. If you use default profiles, the upgrade is drop-in safe. Audit custom alsoAllow configurations before deploying.

Q: How does the people wiki handle duplicate contacts across channels? A: Canonical alias deduplication maps the same person across WhatsApp, Telegram, and email into a single person record. The agent sees one identity regardless of which channel the contact uses.

Q: Is the follow-up commitment system always on? A: No — it is opt-in. Enable it per-agent and per-channel in your configuration. This prevents unexpected behavior on agents where commitment detection is not desired.

Q: Does the NVIDIA provider require on-premise NVIDIA hardware? A: No. You can use NVIDIA's cloud API with just an API key. On-premise NVIDIA GPU passthrough (via Docker) is a separate, additive option.

Q: Which solutions pair best with v2026.4.29's features? A: The people wiki and follow-up commitments pair especially well with multi-channel sales pipelines and AI SDR for B2B export. The NVIDIA provider and new locales extend WhatsApp sales automation and Telegram lead generation into new markets and scale tiers.


OpenClaw v2026.4.29 is available now. Get started with PulseAgent →

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