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renezander030/graphiti-local

renezander030/graphiti-local

local-first temporal knowledge graph
在 GitHub 查看 ↗直链 · 无中转页
配置模板(请按你的客户端调整)
claude mcp add graphiti-local -- npx -y graphiti-local
这是根据仓库名生成的可粘贴骨架,命令行参数与包名请以该项目 README 为准。
★ 数取值
5 ★ · renezander030/graphiti-local · 取自 GitHub 搜索 API · (2026-10-16 20:00:20 核对)
来源明细
收录自 punkpeye/awesome-mcp-servers 榜单(我们从中收集的条目之一) · 条目类型:MCP 服务
收录与活跃
收录于 2026-10-15 · 最近见到 2026-10-16 · 共见到 2 次 · 被 2 个来源列出
评分构成
综合分 203 · 5 ★ · 2 个来源 · mcp
常见问题(答案都来自我们的记录)
怎么安装?
我们【没有】从该仓库取到安装命令(我们的 install 覆盖率只有约 4%)。请看它的 README 或 releases 页。
它适合谁 / 用来做什么?
我们把它归在这些标签下: MCP 服务。标签来自条目自身,不是我们强加的分类。
谁维护它、还在更新吗?
仓库 renezander030/graphiti-local;我们收录于 2026-10-15;最近见到 2026-10-16。这里没有"官方认证"或"质量评级"——我们只记录来源与时间。
第三方质量标记

Graphiti Local

以下摘录自该仓库的 README(片段) · 在 GitHub 读完整 README →

**Local memory for your agents. You approve what they learn.**
Retrieve project decisions through six read-only MCP tools or the kg CLI.
Proposed updates stay in a separate queue until a human approves and applies them.
Ollama handles local inference; embedded LadybugDB stores the graph. No Docker or
cloud API key is needed for the local setup.
*Captured output excerpts with pauses condensed. Measured results and limitations.*
Try it in one command
Answers a question against a small synthetic graph shipped with the package. No Ollama,
no model downloads, no database setup: retrieval runs on keywords alone, so nothing
contacts a model. Ask your own question by passing it as an argument.
This is the read path only. Building a graph from your own text needs extraction, which
needs a model, and that is the full setup below.
Try it locally
Install uv and
Ollama, then start Ollama. Setup downloads
need internet access. Run these commands in bash or zsh:
The synthetic example returns **DuckDB**. Follow the complete walkthrough
to propose PostgreSQL, review and apply that update, and retrieve it from an MCP client.
Model extraction can be wrong; inspect the returned facts and validity timestamps.
To review extraction before it touches the configured graph, run
kg-ingest INPUT --review-output review.jsonl, inspect the snapshot, and mark every
fact in the generated review.jsonl.review.jsonl file as accept, refuse, or
contested. The printed restore command refuses unresolved decisions and promotes a
checksum-sealed snapshot containing accepted facts only. Searches return current facts
by default; kg ask --history is the explicit historical view.
kg-ingest also accepts a Markdown/text file or a directory tree directly. Large
documents split at stable text boundaries. Transient writes retry with one stable
episode id; ingest-receipts.jsonl and ingest-failures.jsonl in the workspace show
exactly what landed and what still needs attention.
Multiple users on Ladybug
Give each user a group, and each group its own Ladybug file:
Each file is named by the SHA-256 of its group, so no group id can point outside the
directory. Reads, kg ask and the drain open only the file of the group they address;
a token granted alice never opens Bob's file. A read names one group, or the token's
single group is used. For a tenant boundary inside one database server, use FalkorDB
来源
awesome · https://github.com/renezander030/graphiti-local
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