github Not archived

Dakera-AI/dakera-mcp

Self-hosted MCP server for AI agent memory — 14 core tools, profile-based tiering (86+ available). 88.2% LoCoMo. Works with Claude, Cursor, Windsurf.

1 awesome list

Quick read

Stars
8
Forks
0
Open issues
3
Commits
189

Activity and growth

Latest capture 2026-09-26 03:08

Stars · last 7 days
No history
Commits · last 7 days
No history
Stars since tracking
+5
Stored snapshots
7

Classification

Metadata

Language
Rust
License
NOASSERTION
Default branch
main
Created
2026-03-15
First commit
2026-03-15
Last pushed
2026-09-14
GitHub updated
2026-09-14
Last synced
2026-09-26 03:08
Stack scanned
2026-09-26 03:08
Archived
No

Archive status reflects the last catalog sync, not a maintenance assessment. Check recent releases, issue responses, and fit for your project with the repository shortlisting checklist.

AI development signals

5 paths

Agent instructions and tool configuration found in this repository.

Growth history

Tracked growth

7 observed captures since 2026-05-27. Observed captures are shown by default.

Stars from first capture +5

Chart data

Observed captures only

Time horizon

All tracked data

Custom date range

Stars history

Observed snapshots

Commits history

Observed snapshots

Similar repositories

Nearest indexed repositories by embedding similarity.

doobidoo/mcp-memory-service

Open-source persistent memory for AI agent pipelines (LangGraph, CrewAI, AutoGen) and Claude. REST API + knowledge graph + autonomous consolidation.

1,980 stars
Python 2 awesome lists

usecortex-official/usecortex-mcp

UseCortex MCP Server — Give your AI coding agent a persistent memory. Read and write knowledge from any tool.

1 stars
JavaScript 1 awesome list

dorukardahan/domain-search-mcp

Zero-config domain availability MCP server for Claude & ChatGPT. Live pricing via Porkbun, premium/auction detection via GoDaddy, AI suggestions, RDAP/WHOIS fallback. Stdio + HTTP.

28 stars
TypeScript 1 awesome list

embeddedlayers/mcp-analytics

The statistical analyst in your AI chat — bring data and a question, own a citable, re-runnable analysis. Four depth tiers, from instant Snapshot to full Deck study. Works in Claude, Cursor, and any MCP client.

7 stars
JavaScript 1 awesome list