OpenBiliClaw Media Processing & Video Knowledge Miner

@whiteguo233/openbiliclaw · v1.1.2

A video intelligence and media knowledge extraction pipeline for DeepSeek Harness. Extracts high-fidelity audio transcripts, maps danmaku sentiment spikes, and captures keyframe slides.

Video-TranscribeWhisperKeyframe-ExtractionMedia-Knowledge
GitHub Stars
27 K+
+12.4% this month
Monthly Downloads
104 K+
Monthly registry pulls
Reach Score
97.9/ 100
Top Tier Ecosystem
Runtime
Cordis v3+
Node 18+ / Bun / Deno

Installation & Integration

CLI one-click launch, package managers, and Cordis integration

bash
manager:
$ pnpm add @whiteguo233/openbiliclaw

Architecture

OpenBiliClaw unlocks video and media archives for autonomous knowledge consumption. The vast majority of cutting-edge tech conferences, developer tutorials, and academic webinars are published exclusively as long-form videos inaccessible to text agents. This plugin integrates media pipelines directly into DeepSeek Harness. Agents extract audio streams for timestamped Whisper transcription, sample visual keyframes of slide transitions, and analyze crowd sentiment spikes via live danmaku comment density. Long videos distill into structured, citation-backed Markdown study guides in minutes.

Architectural Principles & Constraints

01
Strict Type Isolation

Guaranteed by TypeScript compile-time contracts, inter-plugin event bus calls enjoy zero-drift safety.

02
Sub-Millisecond Hot Reload

Supports dynamic runtime mounting and graceful unloading without restarting the primary host process.

03
Deterministic State Machine

Embeds multi-phase execution lifecycle guards, preventing context loss during long-horizon reasoning.

04
Zero Native Build Dependencies

Designed for lightweight cross-platform environments, booting instantly across Node.js, Bun, and Deno.

Core Features

01
Rapid Multi-Hour Media Transcription: Precise transcription for developer webinars and talks
02
Intelligent Slide Keyframe Extraction: Automatically captures crisp presentation slides
03
Danmaku Crowd Sentiment Analysis: Identifies viral highlights and technical breakthrough moments
04
Clickable Timestamped Markdown: Notes link directly back to video playback timestamps

Core Workflow

01

Media Demuxing & Audio Rip

Demuxes video containers into clean audio streams split into processing chunks.

02

Timestamped ASR Transcription

Runs Whisper ASR to generate timestamp-accurate text transcripts.

03

Slide Keyframe Detection

Identifies scene transitions to capture sharp presentation slide keyframes.

04

Markdown Knowledge Digest

Synthesizes prose, slide visuals, and time-linked anchors into clean Markdown wikis.

Configuration Parameters Reference (YAML / JSON)

ParameterTypeDefaultDescription
asrModelstringwhisper-baseTarget Whisper speech-to-text model tier
extractSlidesbooleantrueAutomatically detect and extract presentation slides
minDanmakuPeakRationumber2.5Danmaku spike threshold multiplier for highlights

Use Cases

Enterprise Production Agent

Relies on microkernel lifecycle guards and fault-tolerant state machines for continuous reliability.

SWE-bench Benchmark Evaluation

Native integration with SWE-bench workflows, automatically capturing diffs and verification metrics.

Autonomous Code Refactoring

Separates reasoning from tool actions to independently locate and refactor multi-file codebases.

Cross-Tool Workflow Automation

Safely orchestrates events across sandboxes to seamlessly link enterprise developer tooling.

Best Practices

01
Sandbox Permission Guard

Strictly isolate sub-process calls and network scope; deploy within Docker containers in production.

02
Exponential Backoff Retries

Configure adaptive exponential retries with strict timeouts to mitigate upstream model rate limits.

03
Session State Checkpointing

Persist state machine snapshots to survive hardware interruptions and resume instantly without loss.

04
Full Trajectory Audit Logs

Enable full trace logging, aggregating reasoning thought streams and tool I/O into your observability hub.

FAQ

Q1:How to handle timeouts in long-running autonomous tasks?

Increase the timeout parameter inside your YAML configuration and dispatch periodic heartbeat signals across the Cordis event bus. For long-running tool execution and model reasoning, configure persistent session snapshotting so suspended tasks can safely resume their exact context after interruptions, preventing the kernel from recycling active agent sessions prematurely.

Q2:How to capture and stream the model reasoning thought process?

The harness runtime natively provides end-to-end streaming hooks while its state machine automatically intercepts and strips <think> reasoning tags from model responses. Subscribe directly to the onThink event listener to consume live reasoning token streams in real-time, delivering typewriter animation to the user interface while persisting full trajectories for audit compliance.

Q3:How to resolve dependency conflicts across multiple plugins?

Cordis microkernel uses directed acyclic graph topological sorting to dynamically resolve plugin dependencies. When shared services or runtime versions conflict, assign distinct isolated namespaces at the application entrypoint. Leveraging context injection alongside lazy activation ensures dependencies load strictly on-demand when tools are triggered, maintaining system stability and preventing memory bloat.

Q4:How to enforce permissions and sandbox isolation in production?

Combine isolated container sandboxing with fine-grained capability checks to prevent plugins from accessing sensitive files or unauthorized external networks. Enforce explicit runtime system call whitelisting through the microkernel, executing all third-party tool scripts inside isolated ephemeral containers to block arbitrary code execution and eliminate security privilege escalation risks entirely.

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