Batch 26 — Memory Secondary (Local-first, Episodic, KB Infra)
Roster (9)
| slug | stars | distribution | cli_binary | local_ui | orchestration | multi_model | tier |
|---|---|---|---|---|---|---|---|
| rlm-claude | 35 | mcp-server | no | no | parallel-fan-out | no | A |
| nemp-memory | 101 | claude-plugin | no | no | none | no | A |
| memoryagent | 38 | skill-pack | no | no | none | no | A |
| nex-as-skill | 44 | npm-package | yes (nex) | no | none | no | A |
| contextmcp | unknown | mcp-server | unknown | unknown | none | unknown | C |
| agentskb | unknown | mcp-server | unknown | unknown | none | unknown | C |
| context-engineering-handbook | 9,009 | methodology-doc | no | no | none | no | A |
| context-space | 810 | standalone-repo | no | no | none | no | A |
| context-mode | 15,710 | npm-package | yes (context-mode) | yes (web-dashboard, port 3000) | none | no | A |
Intra-batch Patterns
The nine frameworks cluster into four clear groups: (1) local-first plain-file memory (nemp-memory, memoryagent) — maximally simple, zero deps, zero cloud; (2) MCP-anchored persistent memory (rlm-claude, nex-as-skill) — richer search/retention but require server infrastructure; (3) context-window efficiency infrastructure (context-mode, context-space) — focus on what goes INTO the context, not what persists across sessions; and (4) educational/methodological content (context-engineering-handbook). A striking pattern: every framework except context-space targets session continuity after /compact or context loss as the primary use case — the MIT RLM paper (arXiv:2512.24601) appears to be the shared academic ancestor, cited explicitly by rlm-claude and indirectly referenced in the handbook. None of the frameworks in this batch enforces TDD or automates git operations — they are pure memory/context infrastructure, not development workflow frameworks. The star counts are bimodal: three frameworks have <45 stars (rlm-claude, nemp-memory, memoryagent) while two have >9,000 (context-engineering-handbook at 9k, context-mode at 15.7k).
Most Interesting Finds
context-mode (15,710 stars, HN #1): The "Think in Code" paradigm is the most novel agent architecture insight in the entire research corpus — agents should generate analysis scripts that return only results rather than read data into context, achieving 100x more context savings than any other technique. The SQLite+FTS5+BM25 session continuity + analytics web UI with 90 metrics make this the most technically sophisticated memory/context framework in the batch.
context-engineering-handbook (9,009 stars): The only pure methodology handbook in the catalog. Uniquely applies dynamical systems theory (attractor dynamics, semantic resonance) as engineering primitives — not as metaphor but as concrete design patterns. Conceptually upstream of every other framework in this batch.
Items Written as Tier C
- contextmcp — URL: contextmcp.ai. No public GitHub repository found. Website-only SaaS service with no inspectable source code.
- agentskb — URL: agentskb.com. No public GitHub repository found. Website-only SaaS service with no inspectable source code.
Cross-References Discovered
- rlm-claude directly implements the MIT CSAIL RLM paper (arXiv:2512.24601); context-engineering-handbook cites the same paper as a key reference — both are implementations/theorizations of the same research lineage.
- nemp-memory explicitly positions against ccmemory (the seed) and unnamed MCP-based memory systems as "too complex."
- context-mode and rlm-claude both hook into PreCompact but take opposite philosophies: rlm-claude blocks compaction and requires a user save decision; context-mode automatically snapshots and restores via BM25.
- nex-as-skill and context-space both aggregate external services (Slack, HubSpot, GitHub) but via different mechanisms: Nex as cloud knowledge graph, context-space as real-time MCP tool execution.
- memoryagent and nemp-memory share the "plain files" philosophy but differ in complexity: memoryagent is 1 skill with 6 sub-commands; nemp-memory is 24 commands with hooks and agent identity tracking.