Vlk MemAct MCP Server
by aranajhonnyio.github.aranajhonny/vlk-corev0.3.0
Stateful memory for AI agents. Temporal awareness, error loop detection, and preventive constraints.
context tax
queued
security
queued
cold start
queued
freshness
Slowing3mo ago
Install Vlk MemAct MCP server
No published package or hosted endpoint yet — see the repository README for build-from-source instructions.
Configuration
| Variable | Required | Secret | Description |
|---|---|---|---|
| DATABASE_URL | — | — | SQLite database path (default: sqlite:vlk.db?mode=rwc) |
Freshness
Slowing — last maintenance signal 3mo ago. The newest of the signals below sets the band.
Last commit (default branch)
2026-07-04 · 3mo ago · GitHub
Latest release
2026-06-19 · 4mo ago · GitHub · v0.3.0
Package published
no data · npm/PyPI
Registry entry updated
2026-06-19 · 4mo ago · official registry · v0.3.0
FAQ
›Does Vlk MemAct require an API key?
No required environment variables are declared in its published metadata.
›Can I use Vlk MemAct as a remote (hosted) MCP server?
No hosted endpoint is published; it runs locally over stdio.
›Is Vlk MemAct in the official MCP registry?
Yes, as io.github.aranajhonny/vlk-core.
Alternatives to Vlk MemAct
Other memory MCP servers.
MemoryActiveKnowledge graph-based persistent memory for maintaining context.
HindsightActiveHindsight: long-term memory for AI agents modeled on human memory.
Codebase MemoryActiveIndexes a repo into a persistent local knowledge graph of functions, classes, call chains, HTTP routes and cross-service links, using tree-sitter and LSP.
CogneeActiveMemory manager for AI apps and agents using graph and vector stores, with ingestion from many data sources.
HonchoActiveMemory that reasons: continual learning for stateful agents. Better context, fewer tokens.
Basic MemoryActiveLocal-first AI memory: a semantic knowledge graph of Markdown files that humans and LLMs both read and write, with optional cloud sync and team workspaces.