Federico Pennino, Andrea Gurioli, Stefano Zacchiroli, Maurizio Gabbrielli, Paolo Ferragina: CodeGraph: Open-Taxonomy Knowledge Graph for Source Code with Wikidata Grounding https://arxiv.org/abs/2609.29474 https://arxiv.org/pdf/2609.29474 https://arxiv.org/html/2609.29474
September 25, 2026 at 6:44 AM
Federico Pennino, Andrea Gurioli, Stefano Zacchiroli, Maurizio Gabbrielli, Paolo Ferragina: CodeGraph: Open-Taxonomy Knowledge Graph for Source Code with Wikidata Grounding https://arxiv.org/abs/2609.29474 https://arxiv.org/pdf/2609.29474 https://arxiv.org/html/2609.29474
💣💻 CodeGraph just dropped game-changing updates for coding agents!
💻💣 SQL-aware extraction, cross-language impact edges, and advanced change forecasting?
💻💣 SQL-aware extraction, cross-language impact edges, and advanced change forecasting?
September 20, 2026 at 10:48 AM
💣💻 CodeGraph just dropped game-changing updates for coding agents!
💻💣 SQL-aware extraction, cross-language impact edges, and advanced change forecasting?
💻💣 SQL-aware extraction, cross-language impact edges, and advanced change forecasting?
What tooling are y'all using for graphing complex codebases?
I've seen tools like graphify, codegraph, and others but don't know which, if any, is worth trying.
This is something Claude kinda handles okay, but can loose details on.
I've seen tools like graphify, codegraph, and others but don't know which, if any, is worth trying.
This is something Claude kinda handles okay, but can loose details on.
September 18, 2026 at 6:50 AM
What tooling are y'all using for graphing complex codebases?
I've seen tools like graphify, codegraph, and others but don't know which, if any, is worth trying.
This is something Claude kinda handles okay, but can loose details on.
I've seen tools like graphify, codegraph, and others but don't know which, if any, is worth trying.
This is something Claude kinda handles okay, but can loose details on.
Show HN: Benzi – A Code Intillegence/Harness Beating Claude Code and CodeGraph
https://benzi.fly.dev/benchmark
https://benzi.fly.dev/benchmark
September 11, 2026 at 2:00 AM
Show HN: Benzi – A Code Intillegence/Harness Beating Claude Code and CodeGraph
https://benzi.fly.dev/benchmark
https://benzi.fly.dev/benchmark
Show HN: Benzi – A Code Intillegence/Harness Beating Claude Code and CodeGraph | Discussion
Benzi — Benchmarks
benzi.fly.dev
September 11, 2026 at 2:00 AM
Show HN: Benzi – A Code Intillegence/Harness Beating Claude Code and CodeGraph | Discussion
Show HN: Benzi – A Code Intillegence/Harness Beating Claude Code and CodeGraph
comments · posted on 2026.09.10 at 21:22:44 (c=1, p=4)
comments · posted on 2026.09.10 at 21:22:44 (c=1, p=4)
September 11, 2026 at 1:57 AM
Show HN: Benzi – A Code Intillegence/Harness Beating Claude Code and CodeGraph
comments · posted on 2026.09.10 at 21:22:44 (c=1, p=4)
comments · posted on 2026.09.10 at 21:22:44 (c=1, p=4)
AIエージェントの「探索税」を払うのをやめる — コード知識グラフ CodeGraph 実践ガイド | 7788 #zenn
AIエージェントの「探索税」を払うのをやめる — コード知識グラフ CodeGraph 実践ガイド
zenn.dev
September 7, 2026 at 1:01 PM
AIエージェントの「探索税」を払うのをやめる — コード知識グラフ CodeGraph 実践ガイド | 7788 #zenn
Sonar 的解法：语义代码图 SemSitter。
把"文本搜索"换成"图查询"：
→ Agent 想要哪个符号/依赖，直接查
→ 只带回需要的节点，不整文件塞进上下文
→ 跨文件跨语言的调用关系，regex 表达不了
官方对比实测：token 成本降最多 36%。
#AgentDev #CodeGraph
把"文本搜索"换成"图查询"：
→ Agent 想要哪个符号/依赖，直接查
→ 只带回需要的节点，不整文件塞进上下文
→ 跨文件跨语言的调用关系，regex 表达不了
官方对比实测：token 成本降最多 36%。
#AgentDev #CodeGraph
September 2, 2026 at 5:30 PM
Sonar 的解法：语义代码图 SemSitter。
把"文本搜索"换成"图查询"：
→ Agent 想要哪个符号/依赖，直接查
→ 只带回需要的节点，不整文件塞进上下文
→ 跨文件跨语言的调用关系，regex 表达不了
官方对比实测：token 成本降最多 36%。
#AgentDev #CodeGraph
把"文本搜索"换成"图查询"：
→ Agent 想要哪个符号/依赖，直接查
→ 只带回需要的节点，不整文件塞进上下文
→ 跨文件跨语言的调用关系，regex 表达不了
官方对比实测：token 成本降最多 36%。
#AgentDev #CodeGraph
It started with a core frustration: how do we get better quality, deeper awareness, and precise structural information out of our large codebases?
shaaf.dev/post/migrati...
#SoftwareEngineering #CodeGraph #AI #Coding #Agents #OpenSource #Refactoring #Quarkus #Java
shaaf.dev/post/migrati...
#SoftwareEngineering #CodeGraph #AI #Coding #Agents #OpenSource #Refactoring #Quarkus #Java
Application Migration using A Graph-Driven Approach with rgctl
A step-by-step walkthrough of migrating a Java EE 7 CoolStore monolith from WebLogic to Quarkus, using rgctl's blast radius, community detection, and migration planning to replace guesswork with…
shaaf.dev
September 1, 2026 at 2:00 PM
It started with a core frustration: how do we get better quality, deeper awareness, and precise structural information out of our large codebases?
shaaf.dev/post/migrati...
#SoftwareEngineering #CodeGraph #AI #Coding #Agents #OpenSource #Refactoring #Quarkus #Java
shaaf.dev/post/migrati...
#SoftwareEngineering #CodeGraph #AI #Coding #Agents #OpenSource #Refactoring #Quarkus #Java
MegaMemory: 코딩 에이전트가 세션이 끝나도 프로젝트 구조를 기억하게 만드는 MCP 서버
MegaMemory 소개
코딩 에이전트를 며칠 이상 쓰다 보면 같은 작업을 반복하게 됩니다. 어제 세 시간 동안 인증 흐름을 읽고 어디를 고쳐야 하는지 파악해 두었는데, 오늘 새 세션을 열면 에이전트는 그 파일들을 처음 보는 것처럼 다시 읽습니다. 이 문제를 푸는 흔한 방향은 코드베이스를 미리 인덱싱해 두는 것이고, PyTorchKR 에도 CodeGraph나 codebase-memory-mcp처럼 코드를 그래프로 만들어 두는 도구가…
MegaMemory 소개
코딩 에이전트를 며칠 이상 쓰다 보면 같은 작업을 반복하게 됩니다. 어제 세 시간 동안 인증 흐름을 읽고 어디를 고쳐야 하는지 파악해 두었는데, 오늘 새 세션을 열면 에이전트는 그 파일들을 처음 보는 것처럼 다시 읽습니다. 이 문제를 푸는 흔한 방향은 코드베이스를 미리 인덱싱해 두는 것이고, PyTorchKR 에도 CodeGraph나 codebase-memory-mcp처럼 코드를 그래프로 만들어 두는 도구가…
MegaMemory: 코딩 에이전트가 세션이 끝나도 프로젝트 구조를 기억하게 만드는 MCP 서버
MegaMemory 소개
코딩 에이전트를 며칠 이상 쓰다 보면 같은 작업을 반복하게 됩니다. 어제 세 시간 동안 인증 흐름을 읽고 어디를 고쳐야 하는지 파악해 두었는데, 오늘 새 세션을 열면 에이전트는 그 파일들을 처음 보는 것처럼 다시 읽습니다. 이 문제를 푸는 흔한 방향은 코드베이스를 미리 인덱싱해 두는 것이고, PyTorchKR 에도 CodeGraph나 codebase-memory-mcp처럼 코드를 그래프로 만들어 두는 도구가 소개된 적이 있습니다. 다만 함수와 파일의 호출 관계를 그린 그래프는 무엇이 무엇을 부르는지는 알려주지만, 왜 이 모듈이 이렇게 생겼는지, 지난주에 어떤 결정을 내렸는지는 담고 있지 않습니다.
이번에 소개할...
discuss.pytorch.kr
August 25, 2026 at 10:30 PM
MegaMemory: 코딩 에이전트가 세션이 끝나도 프로젝트 구조를 기억하게 만드는 MCP 서버
MegaMemory 소개
코딩 에이전트를 며칠 이상 쓰다 보면 같은 작업을 반복하게 됩니다. 어제 세 시간 동안 인증 흐름을 읽고 어디를 고쳐야 하는지 파악해 두었는데, 오늘 새 세션을 열면 에이전트는 그 파일들을 처음 보는 것처럼 다시 읽습니다. 이 문제를 푸는 흔한 방향은 코드베이스를 미리 인덱싱해 두는 것이고, PyTorchKR 에도 CodeGraph나 codebase-memory-mcp처럼 코드를 그래프로 만들어 두는 도구가…
MegaMemory 소개
코딩 에이전트를 며칠 이상 쓰다 보면 같은 작업을 반복하게 됩니다. 어제 세 시간 동안 인증 흐름을 읽고 어디를 고쳐야 하는지 파악해 두었는데, 오늘 새 세션을 열면 에이전트는 그 파일들을 처음 보는 것처럼 다시 읽습니다. 이 문제를 푸는 흔한 방향은 코드베이스를 미리 인덱싱해 두는 것이고, PyTorchKR 에도 CodeGraph나 codebase-memory-mcp처럼 코드를 그래프로 만들어 두는 도구가…
I'd really like to explore legal use cases more.
You may be right. I have a gut feeling that integrating a RAG pipeline with cases/law addresses the context issue.
This framework handles the context of millions of lines of code quite well with codegraph and RAG. Context is capped at 256k.
You may be right. I have a gut feeling that integrating a RAG pipeline with cases/law addresses the context issue.
This framework handles the context of millions of lines of code quite well with codegraph and RAG. Context is capped at 256k.
August 21, 2026 at 4:34 AM
I'd really like to explore legal use cases more.
You may be right. I have a gut feeling that integrating a RAG pipeline with cases/law addresses the context issue.
This framework handles the context of millions of lines of code quite well with codegraph and RAG. Context is capped at 256k.
You may be right. I have a gut feeling that integrating a RAG pipeline with cases/law addresses the context issue.
This framework handles the context of millions of lines of code quite well with codegraph and RAG. Context is capped at 256k.
Free and open source. Works with Claude Code, Cursor, Copilot, Gemini CLI and more via MCP. 34+ languages. npm install details on the listing. www.everydev.ai/tools/codeg...
CodeGraph - Local Code Knowledge Graph Tool | EveryDev.ai
CodeGraph is a local-first, open-source code intelligence tool created by Colby McHenry that converts any codebase into a queryable knowledge graph…
www.everydev.ai
August 19, 2026 at 12:30 AM
Free and open source. Works with Claude Code, Cursor, Copilot, Gemini CLI and more via MCP. 34+ languages. npm install details on the listing. www.everydev.ai/tools/codeg...
AI coding agents burning tokens just to understand your codebase? CodeGraph turns any repo into a local knowledge graph so agents query symbols, trace call chains, and nail impact analysis without endless file reads. Full specs in the next post. #DevTools
August 19, 2026 at 12:30 AM
AI coding agents burning tokens just to understand your codebase? CodeGraph turns any repo into a local knowledge graph so agents query symbols, trace call chains, and nail impact analysis without endless file reads. Full specs in the next post. #DevTools
Skills, Wiki, and CodeGraph; and offers granular access control to enable a growing, collaborative Agent team. (2/2)
August 5, 2026 at 7:16 PM
Skills, Wiki, and CodeGraph; and offers granular access control to enable a growing, collaborative Agent team. (2/2)
📝 Summary:
TencentDB Agent Memory is a memory-centric framework that builds a multi-agent team with persistent assets (Chat Memory, Skills, Wiki, CodeGraph) via Memory Hub, enabling cross-agent reuse, access control, and layered memory (L0–L3) to reduce rework and accelerate agent workflows. (1/2)
TencentDB Agent Memory is a memory-centric framework that builds a multi-agent team with persistent assets (Chat Memory, Skills, Wiki, CodeGraph) via Memory Hub, enabling cross-agent reuse, access control, and layered memory (L0–L3) to reduce rework and accelerate agent workflows. (1/2)
August 4, 2026 at 9:16 PM
📝 Summary:
TencentDB Agent Memory is a memory-centric framework that builds a multi-agent team with persistent assets (Chat Memory, Skills, Wiki, CodeGraph) via Memory Hub, enabling cross-agent reuse, access control, and layered memory (L0–L3) to reduce rework and accelerate agent workflows. (1/2)
TencentDB Agent Memory is a memory-centric framework that builds a multi-agent team with persistent assets (Chat Memory, Skills, Wiki, CodeGraph) via Memory Hub, enabling cross-agent reuse, access control, and layered memory (L0–L3) to reduce rework and accelerate agent workflows. (1/2)
TencentCloud just open-sourced Memory Hub for multi-agent memory. Extracts Chat Memory, Skills, Wiki, CodeGraph from conversations and codebases. Decouples memory from frameworks, reducing cold-start overhead and token waste.
[GitHub Trending] TencentCloud/TencentDB-Agent-Memory
Four Signals — The Wire
www.foursignals.dev
August 3, 2026 at 11:01 PM
TencentCloud just open-sourced Memory Hub for multi-agent memory. Extracts Chat Memory, Skills, Wiki, CodeGraph from conversations and codebases. Decouples memory from frameworks, reducing cold-start overhead and token waste.
TencentCloud just open-sourced Memory Hub for multi-agent memory. Extracts Chat Memory, Skills, Wiki, CodeGraph from conversations and codebases. Decouples memory from frameworks, reducing cold-start overhead and token waste.
[GitHub Trending] TencentCloud/TencentDB-Agent-Memory
Four Signals — The Wire
www.foursignals.dev
August 3, 2026 at 7:00 PM
TencentCloud just open-sourced Memory Hub for multi-agent memory. Extracts Chat Memory, Skills, Wiki, CodeGraph from conversations and codebases. Decouples memory from frameworks, reducing cold-start overhead and token waste.
📝 Summary:
TencentDB Agent Memory is a team-centered memory platform that captures and organizes conversations, documents, code, and skills into layered assets (Chat Memory, Skills, Wiki, CodeGraph) with access controls, enabling cross-team reuse, faster cold starts, and iterative (1/2)
TencentDB Agent Memory is a team-centered memory platform that captures and organizes conversations, documents, code, and skills into layered assets (Chat Memory, Skills, Wiki, CodeGraph) with access controls, enabling cross-team reuse, faster cold starts, and iterative (1/2)
August 1, 2026 at 1:16 PM
📝 Summary:
TencentDB Agent Memory is a team-centered memory platform that captures and organizes conversations, documents, code, and skills into layered assets (Chat Memory, Skills, Wiki, CodeGraph) with access controls, enabling cross-team reuse, faster cold starts, and iterative (1/2)
TencentDB Agent Memory is a team-centered memory platform that captures and organizes conversations, documents, code, and skills into layered assets (Chat Memory, Skills, Wiki, CodeGraph) with access controls, enabling cross-team reuse, faster cold starts, and iterative (1/2)
📝 Summary:
TencentDB Agent Memory is a modular, team-oriented memory system for AI agents that captures and organizes cross-session knowledge (Chat Memory, Skills, Wiki, CodeGraph) into layered, reusable assets within a Memory Hub, enabling cross-agent sharing, controlled access, and faster (1/2)
TencentDB Agent Memory is a modular, team-oriented memory system for AI agents that captures and organizes cross-session knowledge (Chat Memory, Skills, Wiki, CodeGraph) into layered, reusable assets within a Memory Hub, enabling cross-agent sharing, controlled access, and faster (1/2)
July 31, 2026 at 3:16 PM
📝 Summary:
TencentDB Agent Memory is a modular, team-oriented memory system for AI agents that captures and organizes cross-session knowledge (Chat Memory, Skills, Wiki, CodeGraph) into layered, reusable assets within a Memory Hub, enabling cross-agent sharing, controlled access, and faster (1/2)
TencentDB Agent Memory is a modular, team-oriented memory system for AI agents that captures and organizes cross-session knowledge (Chat Memory, Skills, Wiki, CodeGraph) into layered, reusable assets within a Memory Hub, enabling cross-agent sharing, controlled access, and faster (1/2)
Who is using codegraph here to understand existing enterprise applications?
What are your experiences?
Care to share?
What are your experiences?
Care to share?
July 30, 2026 at 12:29 PM
Who is using codegraph here to understand existing enterprise applications?
What are your experiences?
Care to share?
What are your experiences?
Care to share?
New: Stop Debugging Clojure Spaghetti Code (Visual Graph Template)
https://youtu.be/4dVIZqR6FW8
#Use #Clojure #codegraph
https://youtu.be/4dVIZqR6FW8
#Use #Clojure #codegraph
July 26, 2026 at 1:05 PM
New: Stop Debugging Clojure Spaghetti Code (Visual Graph Template)
https://youtu.be/4dVIZqR6FW8
#Use #Clojure #codegraph
https://youtu.be/4dVIZqR6FW8
#Use #Clojure #codegraph