mcp server
gctrl
Governed graph-native agent memory: knowledge extraction, fusion, hybrid RAG, scoped access tokens.
Description as published by the maintainer. Source
- version 1.0.1
- active
- data extraction
- retrieval
- memory and context
active — Most recent push to the repository was 2026-08-06. Dashed tags are derived by ZBS Index from the published description, not stated by the maintainer.
Signals
These are separate measurements of different things. They are deliberately not combined into one score, because a popularity number that mixes website traffic with saves and stars cannot be checked or acted on.
| Signal | Value | What it measures | Window | Observed | Source |
|---|---|---|---|---|---|
| GitHub stars | 4 | Number of GitHub accounts that bookmarked this repository since it was created. It is a bookmark count, not installs, not active users and not quality. | cumulative, all time | GitHub | |
| Last commit | 2026-08-06 | Date of the most recent push to any branch. This is the strongest cheap indicator of whether the project is still maintained. | point in time | GitHub | |
| Open issues | 0 | Open issues plus open pull requests, as GitHub counts them together. A high number can mean an active project or an abandoned one. | as of fetch | GitHub | |
| Latest published version | 1.0.1 | Latest version string the maintainer published to the registry. | as of fetch | Model Context Protocol | |
| Registry record last updated | 2026-07-19 | When the registry record was last updated by its maintainer. | point in time | Model Context Protocol | |
| License | AGPL-3.0 | Licence GitHub detected in the repository. Detection can be wrong; the LICENSE file is authoritative. | as of fetch | GitHub | |
| First listed in the MCP Registry | 2026-07-19 | Date this server was first published to the official MCP Registry. Not a usage or quality measure. | point in time | Model Context Protocol | |
| repository status | active | The repository exists on GitHub and is not archived. This says nothing about how recently it was worked on. | as of fetch | GitHub |
Where to get it
Related, by what their authors tagged them
-
hubmesh
— last commit 2026-08-05, shares graphrag, knowledge-graph, rag
Deterministic multi-hop graph retrieval for RAG. Zero LLM calls in the query path.
-
Bhived MCP
— last commit 2026-07-14, shares agent-memory, agent-memory-system, ai-memory
Shared knowledge graph, skills, and tool discovery for AI agents through the Model Context Protocol.
-
GoldenAnalysis
— last commit 2026-08-06, shares entity-resolution, knowledge-graph
Read-only cross-cutting analysis, metrics, and reporting across the Golden Suite.
-
GoldenMatch
— last commit 2026-08-06, shares entity-resolution, knowledge-graph
Find duplicate records in 30 seconds. Zero-config entity resolution, 97.2% F1 out of the box.
-
io.github.CodeAlive-AI/codealive-mcp
— last commit 2026-08-05, shares graphrag, rag
Semantic code search and analysis from CodeAlive for AI assistants and agents.
-
io.github.cdeust/hypermnesia-mcp
— last commit 2026-08-06, shares agent-memory-system
Persistent memory for Claude — 36 cited neuroscience mechanisms, local-first, hybrid retrieval.
-
io.github.Beever-AI/beever-atlas
— last commit 2026-08-06, shares agent-memory, neo4j, rag
Open-source LLM knowledge base: team chat into a typed knowledge graph and auto-generated wiki.
-
io.github.cklam12345/wisdomgraph
— last commit 2026-07-11, shares knowledge-graph, neo4j
Neo4j-native DIKW memory for Claude Code — knowledge that compounds across sessions
-
Attestor
— last commit 2026-05-30, shares neo4j
Self-hosted memory for agent teams. Bi-temporal replay, deterministic retrieval, audit log.
-
io.github.bolnet/memwright
— last commit 2026-05-30, shares neo4j
Embedded memory for AI agents with SQLite, pgvector, and Neo4j graph search.
These share tags the maintainers applied themselves, such as graphrag, knowledge-graph, rag, vector-database. Common tags like "mcp" or "ai" are ignored for this: agreeing with six hundred other projects is not a similarity.
This is not a recommendation and not a test result. It is a map of what the authors said their work is about.
How the author describes it
Topics the maintainer set on GitHub: agent-memory, agent-memory-system, ai-agents, ai-memory, claude, context-enginnering, entity-resolution, gdpr, graphrag, knowledge-graph, llm, mcp, mcp-server, neo4j, ollama, rag, self-hosted, vector-database, wiki-llm.
This record as data
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