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Knowledge Management Python Packages

Python packages with the GitHub topic knowledge-management. Sorted by monthly downloads, with stars and forks.
basicmachines-co
basic-memory

AI conversations that actually remember. Never re-explain your project to your AI again. Join our Discord: https://discord.gg/tyvKNccgqN

32K 4K 319
sysid
bkmr

Knowledge Management for Humans and Agents

30K 264 13
oliver-zehentleitner
keep-the-why-dashboard

The why layer of repo-native project memory: the reasoning behind a codebase as Markdown in the repo, versioned by Git, for coding agents and humans, so nothing rejected is proposed twice. No database, no daemon, no account.

20K 231 13
trustgraph-ai
trustgraph-base

The Semantic Intelligence Layer for Ontologies

18K 3K 334
trustgraph-ai
trustgraph-embeddings-hf

The Semantic Intelligence Layer for Ontologies

15K 3K 334
wallter
trw-mcp

MCP server for AI coding agents — persistent engineering memory, knowledge compounding, and spec-driven development workflows. Part of TRW Framework.

14K 0 0
fmind
brain-framework

🧠 Brain Framework: from information to informed actions.

13K 4 0
trustgraph-ai
trustgraph-flow

The Semantic Intelligence Layer for Ontologies

13K 3K 334
trustgraph-ai
trustgraph-cli

The Semantic Intelligence Layer for Ontologies

13K 3K 334
trustgraph-ai
trustgraph

The Semantic Intelligence Layer for Ontologies

12K 3K 334
trustgraph-ai
trustgraph-vertexai

The Semantic Intelligence Layer for Ontologies

12K 3K 334
trustgraph-ai
trustgraph-bedrock

The Semantic Intelligence Layer for Ontologies

11K 3K 334
trustgraph-ai
trustgraph-ocr

The Semantic Intelligence Layer for Ontologies

11K 3K 334
wallter
trw-memory

Standalone AI agent memory engine — hybrid search (BM25 + vectors), Q-learning scoring, Ebbinghaus decay, tiered storage, knowledge graph. Part of TRW Framework.

11K 2 1
trustgraph-ai
trustgraph-mcp

The Semantic Intelligence Layer for Ontologies

10K 3K 334
knaisoma
data-olympus

Governance-grade, OKF-compatible knowledge-base format with a single-writer MCP server and CLI. Pre-release.

9K 29 7
oliver-zehentleitner
keep-the-why-lint

The why layer of repo-native project memory: the reasoning behind a codebase as Markdown in the repo, versioned by Git, for coding agents and humans, so nothing rejected is proposed twice. No database, no daemon, no account.

8K 231 13
VBlackJack
datacron

Local-first MCP server to query and maintain a Markdown vault from Claude, Cursor, Gemini, Codex & other AI clients - no cloud, no context dump. Guided setup + standalone binaries.

8K 1 0
memtomem
memtomem

Markdown-first, long-term memory infrastructure for AI agents. Hybrid BM25 + semantic search across markdown/code files via MCP.

6K 15 32
trustgraph-ai
trustgraph-docling

The Semantic Intelligence Layer for Ontologies

5K 3K 334
vbcherepanov
total-agent-memory

Persistent local memory for AI coding agents — Claude Code, Codex CLI, Cursor, any MCP client. Temporal knowledge graph, procedural memory, AST codebase ingest, cross-project analogy. LongMemEval R@5 95.1%, LoCoMo 0.607, BEAM 1M 0.448. 74 MCP tools, 9 IDEs, 100% local.

5K 73 18
l0kifs
docir

Compiles git-backed markdown into a verifiable, read-optimized index for AI coding agents.

5K 2 1
ngvoicu
kluris

Turn AI agents into team SMEs. Kluris builds a shared, human-curated knowledge brain (decisions, constraints, incidents, tribal knowledge) as markdown in a git repo. Queryable via slash commands from Claude Code, Codex, Cursor, Windsurf, Cline, Gemini CLI.

4K 6 1
CharlGottschalk
thisdamnthing

A persistent local workspace for Claude Code and Codex. Keep reviewed knowledge, project context, agent rules and reusable workflows in readable files.

4K 2 0
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    • Sources & methodology