Docs: update README with our new name#290
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sync: update local dev from upstream dev。.
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Summary of ChangesHello, I'm Gemini Code Assist1! I'm currently reviewing this pull request and will post my feedback shortly. In the meantime, here's a summary to help you and other reviewers quickly get up to speed! This pull request updates the public-facing name of the project within its primary documentation. The change reflects a new branding for the research assistant, ensuring that the Highlights
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你好，感谢你更新项目名称。这个新名字很有创意！
我注意到在 README.md 文件中，除了你修改的标题和简介外，还有多处仍然使用了旧名称 PaperBot。正如你在 PR 描述中提到的，完全重命名会是一个比较大的工程，但为了保持 README.md 文件本身的一致性，建议可以考虑在后续更新中将文件内其余的 PaperBot 引用也一并替换掉。这包括 GitHub 链接、图片资源路径、以及命令行示例等。
另外，我对简介部分的措辞有一个小建议，详见具体的行评论。
总体来说，这是一个不错的开始，期待项目新名称的全面落地！
Note: Security Review has been skipped due to the limited scope of the PR.
| ## About | ||
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| PaperBot is an end-to-end research assistant that automates the paper discovery → analysis → reproduction pipeline. It combines multi-source search, LLM-powered evaluation, scholar tracking, and code generation into a unified workflow with Web, CLI, and API interfaces. | ||
| "Oh, God! My idea comes true." is an end-to-end research assistant that automates the paper discovery → analysis → reproduction pipeline. It combines multi-source search, LLM-powered evaluation, scholar tracking, and code generation into a unified workflow with Web, CLI, and API interfaces. |
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为了让句子更通顺，可以考虑在项目名称前添加一些引导词。因为新项目名本身就是一个完整的句子，直接作为主语会显得有些突兀。
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| "Oh, God! My idea comes true." is an end-to-end research assistant that automates the paper discovery → analysis → reproduction pipeline. It combines multi-source search, LLM-powered evaluation, scholar tracking, and code generation into a unified workflow with Web, CLI, and API interfaces. | |
| The project "Oh, God! My idea comes true." is an end-to-end research assistant that automates the paper discovery → analysis → reproduction pipeline. It combines multi-source search, LLM-powered evaluation, scholar tracking, and code generation into a unified workflow with Web, CLI, and API interfaces. |
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* fix: validate studio output dirs and add p2c module design docs :wq * feat(PaperToContext): M3 #140 Closes #140 * feat(p2c): implement ContextEngineBridge to inject user context into extraction Related to #157 * activate paper-scope memory read/write path. Raletd to #158 * fix(p2c): address Gemini code review issues from PR. Related to #157 * fix(p2c): address Gemini code review issues. Related to #158 * fix(p2c): sanitize XML tag content to prevent tag-escape prompt injection * feat(memory): add FTS5 full-text search and sqlite-vec hybrid search. Related to #161 * feat(p2c): persist CodeMemory experiences to SQLite. Related to #162 * address Gemini code review issues from PR #224 and #225 * fix(memory): address Gemini code review issues from #153 epic audit P0 fixes: - Replace unbounded daemon threads with ThreadPoolExecutor(max_workers=2) for embedding writes; atexit + close() ensure graceful shutdown so in-flight embeddings are not lost on process exit - Restore apprise>=1.9.0 and feedgen>=1.0.0 removed in epic branch, which would have broken Epic #179 push/RSS features on merge P1 fixes: - _escape_fts: replace double-quote-only escaping with a whitelist regex [A-Za-z0-9_+-] so FTS5 operators (*, NEAR, NOT, ^) cannot alter query semantics; empty queries now short-circuit to [] - _hybrid_merge: skip items with None/invalid id instead of defaulting to id=0, preventing silent score collisions across unrelated records - ReproExperienceStore: add application-level dedup check + UNIQUE constraint (paper_id, pattern_type, content) + IntegrityError fallback to prevent duplicate experiences from accumulating across retries Migration: - 0022_repro_experience_dedup: adds uq_repro_exp_paper_type_content unique constraint to existing repro_code_experience table Tests: 47 unit tests pass (+3 new tests covering the fixes above) * fix: harden repro experience isolation and wire persistence into repro pipeline Add user-scoped isolation for repro_code_experience and enforce dedup semantics with migration 0022_repro_experience_dedup. Inject ReproExperienceStore through ReproAgent/Orchestrator/CodingAgent/GenerationNode and propagate user_id/pack_id in generation, verification, and debugging persistence paths. Update /api/gen-code to accept user_id and extend unit tests for user isolation and persistence behavior. * feat(memory): introduce memory decay mechanism (#163) Add decay-aware scoring that combines relevance (confidence), recency (exponential decay with 90-day half-life), and usage frequency to re-rank search results. New memories default to expires_at = created_at + 365 days. search_memories() now auto-touches usage on hits. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> * feat(memory): add cross-track batch search (#164) Add search_memories_batch() that queries multiple scope_ids in a single SQL call, eliminating the N+1 loop in build_context_pack(). Engine now uses this batch method for cross-track memory retrieval. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> * feat(context): implement layered context loading (#165) Refactor build_context_pack() into 4 layer methods: - Layer 0: user profile (cached with 5-min TTL, ~200 tokens) - Layer 1: track context — tasks/milestones (~500 tokens) - Layer 2: query-relevant + cross-track memories (~1000 tokens) - Layer 3: paper-scoped memories (on-demand) Return value adds context_layers metadata while remaining fully backward-compatible. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> * refactor(memory): align decay with OpenClaw patterns - Use standard ln(2)/halfLifeDays lambda formula (matches OpenClaw temporal-decay.ts:toDecayLambda) - Default half-life lowered to 30 days (was 90, now matches OpenClaw) - Evergreen memories (global scope, preference kind) are immune to recency decay (inspired by OpenClaw isEvergreenMemoryPath) - Add _to_decay_lambda() and _is_evergreen_memory() helpers - Expand tests for lambda math, half-life precision, and evergreen logic Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> * fix(context): isolate layer0 cache and touch batch hits (#236) * feat(memory): upgrade batch retrieval with hybrid and MMR options (#237) * feat(context): add embedding fallback chain and token guard config (#238) * fix(memory): bound batch hybrid candidates by scope_ids * docs: update README with macOS python3 tips * docs: update README with more badges * docs: update README with deleting extra badges * feat(search): add offline retrieval benchmark harness Add a deterministic retrieval benchmark fixture, scorer, CLI, docs, and CI smoke gate for PaperSearchService.\n\nCloses #284\nRefs #283 * feat(context): add offline context-engine benchmark Add deterministic fixtures, scoring, CLI, and smoke coverage for layered assembly, token guard, and advisory routing in ContextEngine.\n\nCloses #286\nRefs #283 * feat(memory): add scope isolation acceptance bench Add an offline scope-isolation benchmark for memory retrieval paths, extend the metric collector with cross-user and cross-scope leak rates, and wire the new check into CI.\n\nCloses #285\nRefs #283 * feat(memory): add offline injection robustness detector Add a deterministic prompt-injection pattern detector, labeled offline fixtures, an acceptance benchmark, and CI coverage for Injection Robustness L1.\n\nCloses #287\nRefs #283 * feat(memory): add offline performance benchmark harness Add a deterministic synthetic benchmark for memory search latency baselines across 10k/100k/1M scales, plus docs and smokeable unit coverage.\n\nCloses #288\nRefs #283 * feat: add ROI benchmark for repro memory Closes #289 Refs #283 * docs: add MemoryBench epic completion report Refs #283 * docs: add runtime memory benchmark report Refs #283 * Docs: update README with our new name (#290) * docs: update README with macOS python3 tips * docs: update README with more badges * docs: update README with deleting extra badges * docs: update README with new god name --------- Co-authored-by: 林杰 <linjie@linjiedeMacBook-Air.local> Co-authored-by: 林杰 <linjie@v8d1ef64c.dip.tu-dresden.de> Co-authored-by: 林杰 <linjie@v8d1ef43e.dip.tu-dresden.de> Co-authored-by: 林杰 <linjie@v8d1ef6c5.dip.tu-dresden.de> * Fix: show friendly error when backend is unreachable (#291) * docs: update README with macOS python3 tips * docs: update README with more badges * docs: update README with deleting extra badges * docs: update README with new god name --------- Co-authored-by: 林杰 <linjie@linjiedeMacBook-Air.local> Co-authored-by: 林杰 <linjie@v8d1ef64c.dip.tu-dresden.de> Co-authored-by: 林杰 <linjie@v8d1ef43e.dip.tu-dresden.de> Co-authored-by: 林杰 <linjie@v8d1ef6c5.dip.tu-dresden.de> * feat: improve memory ROI and effectiveness benchmarks * fix: avoid importing missing data template in main * fix: stabilize live memory roi benchmark * feat: expand multi-session memory effectiveness benchmark * feat: implement MemoryBench evaluation suite with 4 bench suites Add comprehensive memory module evaluation aligned with LongMemEval (ICLR 2025), LoCoMo (ACL 2024), Mem0, and Letta benchmarks. - Retrieval Bench v2: IR metrics (Recall@5=0.873, MRR@10=0.731, nDCG@10=0.747) with 40 annotated queries across 5 question types and 5 memory dimensions - Scope Isolation + CRUD: zero-leak verification across user x scope matrix, Mem0-aligned CRUD lifecycle (add/update/delete/dedup) - Context Extraction: L0-L3 layer completeness, precision, token budget guard, TrackRouter accuracy (100%), graceful degradation - Injection Robustness L1: offline pattern detection (0% pollution, 0% FP) - Fixture dataset: 45 memories (2 users), 12 injection patterns - Testing documentation with methodology, validity analysis, and results Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> --------- Co-authored-by: boyu <oor2020@163.com> Co-authored-by: WenjingWang <jingnvx@outlook.com> Co-authored-by: Claude Opus 4.6 <noreply@anthropic.com> Co-authored-by: 林杰 <linjie@linjiedeMacBook-Air.local> Co-authored-by: 林杰 <linjie@v8d1ef64c.dip.tu-dresden.de> Co-authored-by: Linjie-top <linjie666z@gmail.com> Co-authored-by: 林杰 <linjie@v8d1ef43e.dip.tu-dresden.de> Co-authored-by: 林杰 <linjie@v8d1ef6c5.dip.tu-dresden.de>
jerry609
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Mar 7, 2026
* fix: validate studio output dirs and add p2c module design docs :wq * feat(PaperToContext): M3 #140 Closes #140 * feat(p2c): implement ContextEngineBridge to inject user context into extraction Related to #157 * activate paper-scope memory read/write path. Raletd to #158 * fix(p2c): address Gemini code review issues from PR. Related to #157 * fix(p2c): address Gemini code review issues. Related to #158 * fix(p2c): sanitize XML tag content to prevent tag-escape prompt injection * feat(memory): add FTS5 full-text search and sqlite-vec hybrid search. Related to #161 * feat(p2c): persist CodeMemory experiences to SQLite. Related to #162 * address Gemini code review issues from PR #224 and #225 * fix(memory): address Gemini code review issues from #153 epic audit P0 fixes: - Replace unbounded daemon threads with ThreadPoolExecutor(max_workers=2) for embedding writes; atexit + close() ensure graceful shutdown so in-flight embeddings are not lost on process exit - Restore apprise>=1.9.0 and feedgen>=1.0.0 removed in epic branch, which would have broken Epic #179 push/RSS features on merge P1 fixes: - _escape_fts: replace double-quote-only escaping with a whitelist regex [A-Za-z0-9_+-] so FTS5 operators (*, NEAR, NOT, ^) cannot alter query semantics; empty queries now short-circuit to [] - _hybrid_merge: skip items with None/invalid id instead of defaulting to id=0, preventing silent score collisions across unrelated records - ReproExperienceStore: add application-level dedup check + UNIQUE constraint (paper_id, pattern_type, content) + IntegrityError fallback to prevent duplicate experiences from accumulating across retries Migration: - 0022_repro_experience_dedup: adds uq_repro_exp_paper_type_content unique constraint to existing repro_code_experience table Tests: 47 unit tests pass (+3 new tests covering the fixes above) * fix: harden repro experience isolation and wire persistence into repro pipeline Add user-scoped isolation for repro_code_experience and enforce dedup semantics with migration 0022_repro_experience_dedup. Inject ReproExperienceStore through ReproAgent/Orchestrator/CodingAgent/GenerationNode and propagate user_id/pack_id in generation, verification, and debugging persistence paths. Update /api/gen-code to accept user_id and extend unit tests for user isolation and persistence behavior. * feat(memory): introduce memory decay mechanism (#163) Add decay-aware scoring that combines relevance (confidence), recency (exponential decay with 90-day half-life), and usage frequency to re-rank search results. New memories default to expires_at = created_at + 365 days. search_memories() now auto-touches usage on hits. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> * feat(memory): add cross-track batch search (#164) Add search_memories_batch() that queries multiple scope_ids in a single SQL call, eliminating the N+1 loop in build_context_pack(). Engine now uses this batch method for cross-track memory retrieval. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> * feat(context): implement layered context loading (#165) Refactor build_context_pack() into 4 layer methods: - Layer 0: user profile (cached with 5-min TTL, ~200 tokens) - Layer 1: track context — tasks/milestones (~500 tokens) - Layer 2: query-relevant + cross-track memories (~1000 tokens) - Layer 3: paper-scoped memories (on-demand) Return value adds context_layers metadata while remaining fully backward-compatible. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> * refactor(memory): align decay with OpenClaw patterns - Use standard ln(2)/halfLifeDays lambda formula (matches OpenClaw temporal-decay.ts:toDecayLambda) - Default half-life lowered to 30 days (was 90, now matches OpenClaw) - Evergreen memories (global scope, preference kind) are immune to recency decay (inspired by OpenClaw isEvergreenMemoryPath) - Add _to_decay_lambda() and _is_evergreen_memory() helpers - Expand tests for lambda math, half-life precision, and evergreen logic Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> * fix(context): isolate layer0 cache and touch batch hits (#236) * feat(memory): upgrade batch retrieval with hybrid and MMR options (#237) * feat(context): add embedding fallback chain and token guard config (#238) * fix(memory): bound batch hybrid candidates by scope_ids * docs: update README with macOS python3 tips * docs: update README with more badges * docs: update README with deleting extra badges * feat(search): add offline retrieval benchmark harness Add a deterministic retrieval benchmark fixture, scorer, CLI, docs, and CI smoke gate for PaperSearchService.\n\nCloses #284\nRefs #283 * feat(context): add offline context-engine benchmark Add deterministic fixtures, scoring, CLI, and smoke coverage for layered assembly, token guard, and advisory routing in ContextEngine.\n\nCloses #286\nRefs #283 * feat(memory): add scope isolation acceptance bench Add an offline scope-isolation benchmark for memory retrieval paths, extend the metric collector with cross-user and cross-scope leak rates, and wire the new check into CI.\n\nCloses #285\nRefs #283 * feat(memory): add offline injection robustness detector Add a deterministic prompt-injection pattern detector, labeled offline fixtures, an acceptance benchmark, and CI coverage for Injection Robustness L1.\n\nCloses #287\nRefs #283 * feat(memory): add offline performance benchmark harness Add a deterministic synthetic benchmark for memory search latency baselines across 10k/100k/1M scales, plus docs and smokeable unit coverage.\n\nCloses #288\nRefs #283 * feat: add ROI benchmark for repro memory Closes #289 Refs #283 * docs: add MemoryBench epic completion report Refs #283 * docs: add runtime memory benchmark report Refs #283 * Docs: update README with our new name (#290) * docs: update README with macOS python3 tips * docs: update README with more badges * docs: update README with deleting extra badges * docs: update README with new god name --------- Co-authored-by: 林杰 <linjie@linjiedeMacBook-Air.local> Co-authored-by: 林杰 <linjie@v8d1ef64c.dip.tu-dresden.de> Co-authored-by: 林杰 <linjie@v8d1ef43e.dip.tu-dresden.de> Co-authored-by: 林杰 <linjie@v8d1ef6c5.dip.tu-dresden.de> * Fix: show friendly error when backend is unreachable (#291) * docs: update README with macOS python3 tips * docs: update README with more badges * docs: update README with deleting extra badges * docs: update README with new god name --------- Co-authored-by: 林杰 <linjie@linjiedeMacBook-Air.local> Co-authored-by: 林杰 <linjie@v8d1ef64c.dip.tu-dresden.de> Co-authored-by: 林杰 <linjie@v8d1ef43e.dip.tu-dresden.de> Co-authored-by: 林杰 <linjie@v8d1ef6c5.dip.tu-dresden.de> * feat: improve memory ROI and effectiveness benchmarks * fix: avoid importing missing data template in main * fix: stabilize live memory roi benchmark * feat: expand multi-session memory effectiveness benchmark * feat: implement MemoryBench evaluation suite with 4 bench suites Add comprehensive memory module evaluation aligned with LongMemEval (ICLR 2025), LoCoMo (ACL 2024), Mem0, and Letta benchmarks. - Retrieval Bench v2: IR metrics (Recall@5=0.873, MRR@10=0.731, nDCG@10=0.747) with 40 annotated queries across 5 question types and 5 memory dimensions - Scope Isolation + CRUD: zero-leak verification across user x scope matrix, Mem0-aligned CRUD lifecycle (add/update/delete/dedup) - Context Extraction: L0-L3 layer completeness, precision, token budget guard, TrackRouter accuracy (100%), graceful degradation - Injection Robustness L1: offline pattern detection (0% pollution, 0% FP) - Fixture dataset: 45 memories (2 users), 12 injection patterns - Testing documentation with methodology, validity analysis, and results Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> * docs: add MemoryBench quantitative results to README Add evaluation results section with metrics from 4 bench suites: - Retrieval quality (Recall@5=0.873, MRR@10=0.731, nDCG@10=0.747) - Scope isolation + CRUD lifecycle (zero leaks, all CRUD pass) - Context extraction (100% precision, 100% router accuracy) - Injection robustness (0% pollution, 0% false positive) Includes LoCoMo question-type breakdown and run instructions. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> --------- Co-authored-by: boyu <oor2020@163.com> Co-authored-by: WenjingWang <jingnvx@outlook.com> Co-authored-by: Claude Opus 4.6 <noreply@anthropic.com> Co-authored-by: 林杰 <linjie@linjiedeMacBook-Air.local> Co-authored-by: 林杰 <linjie@v8d1ef64c.dip.tu-dresden.de> Co-authored-by: Linjie-top <linjie666z@gmail.com> Co-authored-by: 林杰 <linjie@v8d1ef43e.dip.tu-dresden.de> Co-authored-by: 林杰 <linjie@v8d1ef6c5.dip.tu-dresden.de>
jerry609
added a commit
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Mar 13, 2026
* fix: validate studio output dirs and add p2c module design docs :wq * feat(PaperToContext): M3 #140 Closes #140 * feat(p2c): implement ContextEngineBridge to inject user context into extraction Related to #157 * activate paper-scope memory read/write path. Raletd to #158 * fix(p2c): address Gemini code review issues from PR. Related to #157 * fix(p2c): address Gemini code review issues. Related to #158 * fix(p2c): sanitize XML tag content to prevent tag-escape prompt injection * feat(memory): add FTS5 full-text search and sqlite-vec hybrid search. Related to #161 * feat(p2c): persist CodeMemory experiences to SQLite. Related to #162 * address Gemini code review issues from PR #224 and #225 * fix(memory): address Gemini code review issues from #153 epic audit P0 fixes: - Replace unbounded daemon threads with ThreadPoolExecutor(max_workers=2) for embedding writes; atexit + close() ensure graceful shutdown so in-flight embeddings are not lost on process exit - Restore apprise>=1.9.0 and feedgen>=1.0.0 removed in epic branch, which would have broken Epic #179 push/RSS features on merge P1 fixes: - _escape_fts: replace double-quote-only escaping with a whitelist regex [A-Za-z0-9_+-] so FTS5 operators (*, NEAR, NOT, ^) cannot alter query semantics; empty queries now short-circuit to [] - _hybrid_merge: skip items with None/invalid id instead of defaulting to id=0, preventing silent score collisions across unrelated records - ReproExperienceStore: add application-level dedup check + UNIQUE constraint (paper_id, pattern_type, content) + IntegrityError fallback to prevent duplicate experiences from accumulating across retries Migration: - 0022_repro_experience_dedup: adds uq_repro_exp_paper_type_content unique constraint to existing repro_code_experience table Tests: 47 unit tests pass (+3 new tests covering the fixes above) * fix: harden repro experience isolation and wire persistence into repro pipeline Add user-scoped isolation for repro_code_experience and enforce dedup semantics with migration 0022_repro_experience_dedup. Inject ReproExperienceStore through ReproAgent/Orchestrator/CodingAgent/GenerationNode and propagate user_id/pack_id in generation, verification, and debugging persistence paths. Update /api/gen-code to accept user_id and extend unit tests for user isolation and persistence behavior. * feat(memory): introduce memory decay mechanism (#163) Add decay-aware scoring that combines relevance (confidence), recency (exponential decay with 90-day half-life), and usage frequency to re-rank search results. New memories default to expires_at = created_at + 365 days. search_memories() now auto-touches usage on hits. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> * feat(memory): add cross-track batch search (#164) Add search_memories_batch() that queries multiple scope_ids in a single SQL call, eliminating the N+1 loop in build_context_pack(). Engine now uses this batch method for cross-track memory retrieval. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> * feat(context): implement layered context loading (#165) Refactor build_context_pack() into 4 layer methods: - Layer 0: user profile (cached with 5-min TTL, ~200 tokens) - Layer 1: track context — tasks/milestones (~500 tokens) - Layer 2: query-relevant + cross-track memories (~1000 tokens) - Layer 3: paper-scoped memories (on-demand) Return value adds context_layers metadata while remaining fully backward-compatible. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> * refactor(memory): align decay with OpenClaw patterns - Use standard ln(2)/halfLifeDays lambda formula (matches OpenClaw temporal-decay.ts:toDecayLambda) - Default half-life lowered to 30 days (was 90, now matches OpenClaw) - Evergreen memories (global scope, preference kind) are immune to recency decay (inspired by OpenClaw isEvergreenMemoryPath) - Add _to_decay_lambda() and _is_evergreen_memory() helpers - Expand tests for lambda math, half-life precision, and evergreen logic Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> * fix(context): isolate layer0 cache and touch batch hits (#236) * feat(memory): upgrade batch retrieval with hybrid and MMR options (#237) * feat(context): add embedding fallback chain and token guard config (#238) * fix(memory): bound batch hybrid candidates by scope_ids * docs: update README with macOS python3 tips * docs: update README with more badges * docs: update README with deleting extra badges * feat(search): add offline retrieval benchmark harness Add a deterministic retrieval benchmark fixture, scorer, CLI, docs, and CI smoke gate for PaperSearchService.\n\nCloses #284\nRefs #283 * feat(context): add offline context-engine benchmark Add deterministic fixtures, scoring, CLI, and smoke coverage for layered assembly, token guard, and advisory routing in ContextEngine.\n\nCloses #286\nRefs #283 * feat(memory): add scope isolation acceptance bench Add an offline scope-isolation benchmark for memory retrieval paths, extend the metric collector with cross-user and cross-scope leak rates, and wire the new check into CI.\n\nCloses #285\nRefs #283 * feat(memory): add offline injection robustness detector Add a deterministic prompt-injection pattern detector, labeled offline fixtures, an acceptance benchmark, and CI coverage for Injection Robustness L1.\n\nCloses #287\nRefs #283 * feat(memory): add offline performance benchmark harness Add a deterministic synthetic benchmark for memory search latency baselines across 10k/100k/1M scales, plus docs and smokeable unit coverage.\n\nCloses #288\nRefs #283 * feat: add ROI benchmark for repro memory Closes #289 Refs #283 * docs: add MemoryBench epic completion report Refs #283 * docs: add runtime memory benchmark report Refs #283 * Docs: update README with our new name (#290) * docs: update README with macOS python3 tips * docs: update README with more badges * docs: update README with deleting extra badges * docs: update README with new god name --------- Co-authored-by: 林杰 <linjie@linjiedeMacBook-Air.local> Co-authored-by: 林杰 <linjie@v8d1ef64c.dip.tu-dresden.de> Co-authored-by: 林杰 <linjie@v8d1ef43e.dip.tu-dresden.de> Co-authored-by: 林杰 <linjie@v8d1ef6c5.dip.tu-dresden.de> * Fix: show friendly error when backend is unreachable (#291) * docs: update README with macOS python3 tips * docs: update README with more badges * docs: update README with deleting extra badges * docs: update README with new god name --------- Co-authored-by: 林杰 <linjie@linjiedeMacBook-Air.local> Co-authored-by: 林杰 <linjie@v8d1ef64c.dip.tu-dresden.de> Co-authored-by: 林杰 <linjie@v8d1ef43e.dip.tu-dresden.de> Co-authored-by: 林杰 <linjie@v8d1ef6c5.dip.tu-dresden.de> * feat: improve memory ROI and effectiveness benchmarks * fix: avoid importing missing data template in main * fix: stabilize live memory roi benchmark * feat: expand multi-session memory effectiveness benchmark * feat: implement MemoryBench evaluation suite with 4 bench suites Add comprehensive memory module evaluation aligned with LongMemEval (ICLR 2025), LoCoMo (ACL 2024), Mem0, and Letta benchmarks. - Retrieval Bench v2: IR metrics (Recall@5=0.873, MRR@10=0.731, nDCG@10=0.747) with 40 annotated queries across 5 question types and 5 memory dimensions - Scope Isolation + CRUD: zero-leak verification across user x scope matrix, Mem0-aligned CRUD lifecycle (add/update/delete/dedup) - Context Extraction: L0-L3 layer completeness, precision, token budget guard, TrackRouter accuracy (100%), graceful degradation - Injection Robustness L1: offline pattern detection (0% pollution, 0% FP) - Fixture dataset: 45 memories (2 users), 12 injection patterns - Testing documentation with methodology, validity analysis, and results Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> * docs: add MemoryBench quantitative results to README Add evaluation results section with metrics from 4 bench suites: - Retrieval quality (Recall@5=0.873, MRR@10=0.731, nDCG@10=0.747) - Scope isolation + CRUD lifecycle (zero leaks, all CRUD pass) - Context extraction (100% precision, 100% router accuracy) - Injection robustness (0% pollution, 0% false positive) Includes LoCoMo question-type breakdown and run instructions. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> * feat(AgentSwarm): add Claude/Codex workflow, workspace persistence, and human review UX (#296) * feat(AgentSwarm): add Claude/Codex workflow, workspace persistence, and human review UX - 添加 /api/agent-board 路由和 Swarm Commander/Dispatcher 基础架构 - 将生成的任务文件持久化到已配置的工作区 - 在工作区中为每个任务生成用户审核文档（reviews/<任务>-user-review.md） - 添加代理看板 UI，包含看板、任务详细日志和人工审核操作 - 要求“全部运行”任务设置工作区，并添加 VS Code 打开操作 - 实现 Studio 存储和 SSE 任务的更新/插入/同步行为 - 为路由流程、持久化和超时处理添加单元/功能测试 - 更新 Studio 布局、PostCSS 配置、后端 URL 助手和锁定文件 Closes #197 * (fix)修改AI review问题 * refactor: share research fetch helpers (#295) Co-authored-by: 林杰 <linjie@v8d1ef6c5.dip.tu-dresden.de> * feat: add research/yearCombobox. Realted to #297 * refactor(research): dedupe fetch helpers across Research pages; fix Radix popover import; add @radix-ui/react-popover dep * fix(web): move @radix-ui/react-popover to dependencies * fix(research): keep track list order stable across activation * refactor(research): share stable track merge helper * fix(research): make paper feedback togglable * feat(research): hide 'Open Discovery Workspace' behind feature flag * feat(research): gate track memory button behind feature flag (#333) * feat(research): gate track memory button behind feature flag * fix(research): avoid reactivating already active track * ci(vercel): add auto deploy workflow for dev branch * feat: calm dashboard workspace (#334) * feat: harden search and connector infrastructure (#339) * refactor(infra): unify async request layer for connectors Implements issue #262 by moving Arxiv/OpenAlex/PapersCool connectors onto the shared async transport with retry support, updating async call sites, and adding focused tests. * perf(infra): batch OpenAlex ID lookups Implements issue #267 by replacing per-ID OpenAlex work fetches with batched filter queries and adds focused coverage for the batched path. * refactor(infra): unify Semantic Scholar client stack Implements issue #266 by routing both the shared mixin and the scholar-tracking agent through the same SemanticScholarClient surface, removing the duplicated legacy API client path, and adding focused unification tests. * feat(infra): harden SSE transport handling Implements issue #263 by moving heartbeat, timeout, cancellation cleanup, and X-Accel-Buffering handling into the shared SSE wrapper and switching the streaming routes onto the common response helper with regression coverage. * fix(infra): bound ARQ jobs and reuse event log Implements issue #268 by adding timeout/max_tries metadata to worker functions, reusing the SqlAlchemyEventLog singleton inside the worker module, and covering both behaviors with focused tests. * feat(search): add three-tier paper deduplicator (DOI/arxiv_id/rapidfuzz) Replaces the identity-key-only dedup in PaperSearchService._fuse_with_rrf() with a dedicated PaperDeduplicator that matches across DOI, arxiv_id (version- stripped), and fuzzy title similarity via rapidfuzz. Merged papers accumulate the best metadata (highest citations, longest abstract, union of identities). Closes #317 Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> * fix(search): prevent conflicting identity dedup merges Refs #317 * fix(embeddings): add CJK character support to hash embedding tokenizer Extends HashEmbeddingProvider regex to include CJK Unified Ideographs (U+4E00–U+9FFF) and Extension A (U+3400–U+4DBF), enabling proper embedding of Chinese text. Closes #276 Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> * fix(embeddings): extend hash tokenizer beyond Han-only CJK Refs #276 --------- Co-authored-by: Claude Opus 4.6 <noreply@anthropic.com> * fix(research): restore feedback track ux on current dev (#341) * refactor(research): dedupe fetch helpers across Research pages; fix Radix popover import; add @radix-ui/react-popover dep * fix(web): preserve item order in research tracks selection Closes #304 Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> * refactor(web): remove unused components Closes #305 Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> * fix(web): keep active research track visible Refs #304 * fix(research): align paper feedback toggles with persisted state Refs #324 * fix(web): add missing @radix-ui/react-popover dependency Research page crashed with "Module not found: Can't resolve '@radix-ui/react-popover'" because SearchBox.tsx imports popover.tsx which depends on this package. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> * fix(research): restore feedback track ux on current dev --------- Co-authored-by: 林杰 <linjie@v8d1ef6a5.dip.tu-dresden.de> Co-authored-by: Claude Opus 4.6 <noreply@anthropic.com> * fix(web): resolve DeepCode Studio page issues * fix(repro): improve memory and workflow correctness * feat: add intelligence radar backend * fix(api): block cross-user intelligence feed access * fix(intelligence): avoid thread-unsafe refresh races * refactor: enforce alembic-only store initialization * fix(db): bootstrap sqlite schemas for lazy stores * fix(stores): align ports with store interfaces * fix(stores): align remaining port contracts * fix(api): harden request boundaries and settings handling * fix(api): stop trusting spoofable forwarded hosts * fix(api): gate studio code execution by default * fix(api): stream request-size checks safely * feat(export): add Obsidian filesystem exporter * feat(cli): add Obsidian export command * feat(obsidian): finish configurable vault export workflow (#348) * refactor(web): move workflow workbench out of dashboard * ci(vercel): use --preview flag for dev deploy * fix(ci): remove invalid Vercel preview flag * fix(ci): keep Vercel secrets free of inline comments * refactor: share candidate search boundary and simplify dashboard * refactor(api): split paperscool search curate and ingest * refactor(web): flatten dashboard brief snapshot * refactor(web): reduce dashboard brief visual noise * refactor(web): feature top dashboard signals * fix(obsidian): harden export follow-ups * fix(obsidian): tighten review follow-ups * feat(web): add Obsidian handoff to Research workspace (#352) * feat(web): add Obsidian handoff to Research workspace * fix(web): address obsidian workspace review feedback * feat: ship track-centric research context stack (#356) * feat(api): add track context read model service * feat(api): expose consolidated track context endpoint * refactor(web): migrate research page to track context endpoint * refactor(memory): wrap track-scoped memory access * chore: document track-centric research model and stabilize tests * docs: refresh readme screenshots * fix(deps): align package manifests with runtime imports * docs: refresh email push screenshot * feat(research): close citation graph and obsidian export gaps (#360) * feat(obsidian): add bidirectional vault sync * fix(paper): improve saved papers table layout * feat(openclaw): add paperbot plugin bridge * fix(obsidian): address sync review feedback * feat(web): flatten dashboard action bands * refactor(web): condense dashboard next-up panel * refactor(web): simplify dashboard around recommendations * refactor(web): simplify dashboard surface and workflow copy * feat(web): add dashboard queue actions * fix(web): harden dashboard queue links and brief parsing * fix(paper): unify unsave with feedback API * fix(paper): scope saved papers per track * fix: unblock dashboard build and e2e * ci: add vercel pr preview automation * fix: repair vercel preview workflow setup * fix: run vercel build from repo root * fix: skip preview smoke without bypass secret * feat(auth): add multi-user authentication foundation. Related to #151 - Add User domain model and SQLAlchemy UserModel with soft-delete support - Add SqlAlchemyUserStore with email/GitHub user CRUD, password auth, reset tokens - Add JWT signing/verification (python-jose), bcrypt password hashing - Add FastAPI auth dependencies: get_user_id (optional fallback) and get_current_user (strict) - Add /api/auth routes: register, login, github/exchange, me, forgot/reset-password - Add Alembic migrations for users and password_reset_tokens tables - Add AUTH_OPTIONAL env var for gradual migration from legacy 'default' user - Fix account lifecycle bugs: reactivate on OAuth re-login, reject inactive on password login - Add auth API tests * fix(auth): address code review feedback on PR #365 * feat(document): add explicit evidence indexing pipeline * docs(benchmark): define document evidence eval contract * feat(benchmark): add document evidence eval scaffold * fix(api): restore py39 auth compatibility after dev rebase * chore(logging): surface cleanup and FTS5 failures * fix(paper): refine saved filters and cleanup code * fix(paper): refine paper context cleanup and year filter * feat(eval): support dedicated embedding benchmark providers * feat(settings): add embedding endpoint configuration * refactor(settings): align embedding endpoint ux with cc-switch * refactor(settings): simplify embedding endpoint panel * refactor(settings): tighten embedding layout on wide screens * feat(studio): refine paper gallery icon animation and context workspace layout * ci: disable native vercel git deploys * docs: restore master demo gallery assets * fix: unblock ci for merge-dev-into-master * fix: address codeql alerts * fix: harden agent board workspace path validation --------- Co-authored-by: boyu <oor2020@163.com> Co-authored-by: WenjingWang <jingnvx@outlook.com> Co-authored-by: Claude Opus 4.6 <noreply@anthropic.com> Co-authored-by: 林杰 <linjie@linjiedeMacBook-Air.local> Co-authored-by: 林杰 <linjie@v8d1ef64c.dip.tu-dresden.de> Co-authored-by: Linjie-top <linjie666z@gmail.com> Co-authored-by: 林杰 <linjie@v8d1ef43e.dip.tu-dresden.de> Co-authored-by: 林杰 <linjie@v8d1ef6c5.dip.tu-dresden.de> Co-authored-by: 林杰 <linjie@v8d1ef6a5.dip.tu-dresden.de> Co-authored-by: 林杰 <linjie@v8d1ef4ea.dip.tu-dresden.de> Co-authored-by: 林杰 <linjie@v8d1ef41f.dip.tu-dresden.de>
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更改名字为“Oh, God! My idea comes true.”
但是没有更改那个之前设置的许多变量名