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BamdraAI takes flight from human intent, and returns with amplified insight.

Bamdra is inspired by the bamboo dragonfly: launched by human intent, lifted by intelligence, and returned to human hands with greater perspective. We are building a three-plugin OpenClaw memory suite that does not stay in demos, but enters real work and changes how people move through complex workflows.

Bamdra product hero visual

The meaning of Bamdra

Bamdra is named after the bamboo dragonfly, 竹蜻蜓. A bamboo dragonfly rises because human hands give it force. Once airborne, it reaches a higher view and travels farther than the hand alone can. Yet it is never detached from people; its value is completed only when it returns to human hands with a broader perspective. That is how we think about AI: launched by human intent, expanded by machine capability, and ultimately accountable to human judgment.

Vision

We want AI to stop hovering at the edge of work and start reshaping how work is done.

Not by replacing people, but by helping people hold more context, move faster across complexity, and keep better continuity in the moments where work usually breaks apart.

Why teams look at Bamdra now

OpenClawFocused product fit from day one, with a dedicated memory system built specifically for OpenClaw workflows.
SQLite-firstSimple deployment, predictable persistence, and fast retrieval without introducing unnecessary infrastructure.
Workflow changeWhat matters is not just that AI can do something, but that it changes the rhythm, continuity, and leverage of everyday work.
Human returnAI should always come back to human judgment, human goals, and human accountability, even after it has expanded what is possible.

Product Suite

Three plugins, one continuity-first memory stack

Bamdra now ships as a three-plugin public suite. All three plugins can run independently, while the main memory plugin can also auto-provision its identity companion during install.

bamdra-openclaw-memoryThe main runtime for topic continuity, compact context assembly, fact storage, and long-session recovery in OpenClaw.
bamdra-user-bindThe identity and profile plugin. It resolves raw channel identities into stable user boundaries, and it can run on its own or be auto-provisioned by the main memory plugin.
bamdra-memory-vectorThe optional semantic retrieval layer. It adds Markdown plus vector recall without turning the suite into a heavy external memory stack.
Why the split mattersSeparate repositories, packages, and release roles make deployment clearer, security boundaries safer, and future iteration easier.

Suite Entry

bamdra-openclaw-memory is the main entry point

bamdra-openclaw-memory gives OpenClaw durable memory for long-running sessions. It separates conversation branches, saves reusable facts, refreshes summaries, and keeps the active prompt compact enough to stay practical in production.

`bamdra-openclaw-memory` can run independently. When it is installed through npm, it can also auto-provision bamdra-user-bind if that dependency is not already materialized in the local OpenClaw extensions directory.

bamdra-memory-vector stays independent and optional on purpose, so teams can add semantic retrieval only when they actually want it.

  • Repositorybamdra/bamdra-openclaw-memory
  • Primary valueContinuity without prompt bloat
  • Auto companionbamdra-user-bind
  • Optional enhancementbamdra-memory-vector
  • Deployment modeSQLite-native, user-aware orchestration

Use Cases

Built for nonlinear work

  • Product operations that jump between incidents, planning, and handoff notes.
  • Developer copilots that must preserve project constraints across long sessions.
  • Knowledge workflows where stable facts need to survive restarts and topic drift.

What Changes

Not just deployment, but a new working pattern

  • Less repetition when teams return to paused work.
  • Stronger continuity across interruptions, detours, and restarts.
  • A more durable way to carry decisions, paths, constraints, and preferences through long workflows.

Get Started

Download the current release

Start from the actual packaged release, then use the installation and runtime guidance in this site to wire it into OpenClaw correctly.

AI becomes meaningful when it returns to real work, real decisions, and real people.