WeKnora
Tencent
Open-source LLM knowledge platform: turn raw documents into a queryable RAG, an autonomous reasoning agent, and a self-maintaining Wiki.
PROJECT TOPICS
INSTALL REFERENCE
dsh plugin --profile web add github:grloper/dsh-deep-research
该命令指向仓库当前默认分支;尚无绑定当前 commit 的完整验证结果。
PROJECT README
JavaScript evidence-processing tools for source-text anchoring, document similarity/lineage, claim assessment, and storage. The implementation is in lib/; the command-line entry point is bin/kestrel.mjs.
On the audited branch, 265 Node tests pass. node demo/run.mjs executes the real library against the bundled fictional corpus: it checks source-text quotations, groups copied documents, surfaces the fixture contradiction, and recalls stored findings. These are offline fixture results; the corpus is not real-world business evidence.
The audit reproduced a citation defect: fuzzy matching admitted a long quotation whose amount was changed from 42 to 91. Quote matching now defaults to strict mode, and both citation-admission paths disable fuzzy matching. Regression tests exercise that exact counterexample. Explicit approximate search is still available, but it cannot enable fuzzy citation admission.
Requires Node 20 or later. The local test/demo path has no required third-party packages or API keys.
node --test
node demo/run.mjs
node bin/kestrel.mjs --help
Standalone URL-fetching commands and DeepSeek Harness/model integration are implemented in the source but were not validated against live providers in this audit. Running URL commands makes network requests; installing into a Harness profile changes local configuration.
Finding a quote in a document does not prove the claim is true. Normalized matching ignores case and punctuation; inspect the returned source span. Similarity-based lineage is a heuristic, not proof of source independence. Model judgments, live search, fetch resilience and real-world research accuracy remain unverified here. No fabricated-quote-proof, accuracy, latency, or production-scale guarantee is claimed.
CLASSIFICATION EVIDENCE
系统优先读取 GitHub Topics,再与站内分类词典和词根规则比对。当前命中: deep-research、rag、research-agent、research-tools。