Agent-style performance analysis on real PETSc/ARCHER2 benchmark data: SQLite benchmark memory + deterministic tools, with a rule-based router and an LLM function-calling router scored on the same 30-question eval set.
Cross-referenced across 55 tracked directories
#2875
Popularity Rank
1 / 55
Listed In
Emerging
Adoption Stage
7/20/2026
Created
1
GitHub Stars
8/4/2026
Last Commit
Recently added to the ecosystem
Score: 100/100
0 dependency vulnerabilities found
dnotitia
AKB — Agent Knowledgebase. Organizational memory for AI agents: vault-scoped docs / tables / files unified by URI graph, served over MCP.
...moresgx-labs
Your AI forgets everything between sessions. SAME fixes that. Local-first, no API keys, single binary.
vbcherepanov
Persistent memory for Claude Code & Codex CLI. Auto-extracted knowledge graph, multi-representation embeddings, 3D WebGL ▎ visualization. LongMemEval R@5=97.45%. Self-hosted, Ollama-optional
...more