"Contextloop" is not named in any of the candidate sources, so the closest match is unclear. Several products here are persistent-memory or context-management layers for LLMs and agents 12610, and these are offered as the nearest matches. Please confirm whether you meant a specific product named Contextloop.
A question back: Did you mean a specific product called Contextloop? It does not appear in any of the candidate sources, so please share its website or what it does.
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Virtual Contextvirtual-context.comfound in code, not yet checked
A context management system for LLMs that compresses, organizes and retrieves conversation context, with actions to recall context, compact context and find memory by topic and time window 111.
for agents: remember_when · compact_context · recall_context
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3ngram3ngram.aiwebsite read, tools not yet checked
A persistent memory layer for AI tools over MCP that saves decisions and context and makes them searchable from Claude, ChatGPT, Cursor and Codex 6.
+1 community tools built for it
Sources
- 1Context Management System for LLMs with Memory | Virtual Contextvirtual-context.com · read 2026-10-30
- 2Mem0 - AI Memory Layer for your Agents & Apps | Persistent Contextmem0.ai · read 2026-10-29
- 63ngram | Your AI forgets. 3ngram remembers.3ngram.ai · read 2026-10-29
- 10Atomic Strata — The configurable context layer for AIatomicstrata.ai · read 2026-10-30
- 11virtual-context: declares "remember_when" (the record we read)github.com · read 2026-10-24
- 12mem0: declares "mem0" (the record we read and signed)unfragile.ai · read 2026-10-24
- 20atomicmemory: declares "memory_package" (the record we read)github.com · read 2026-10-24
For agents: the 10 actions behind this answer
remember_when · virtual-context found in code, not yet checked
Find memory by topic within a time window.
mem0 · mem0 verified and signed
Mem0 Platform SDK for adding persistent memory to AI applications. TRIGGER when: user mentions "mem0", "MemoryClient", "memory layer", "remember user preferences", "persistent context", "personalization", or needs to add long-term memory to chatbots, agents, or AI apps. Covers Python SDK (mem0ai), T
· Kortexio website read, tools not yet checked
OpenAI-compatible memory + agentic layer for your LLM. Persistent session memory, Global Wiki, MCP tools, and EU hosting — change one URL.
create-llms · create-llms verified and signed
Create an llms.txt file from scratch based on repository structure following the llms.txt specification at https://llmstxt.org/
run-query · SurrealDB (Activepieces) verified and signed
Run Query — Run a query in SurrealDB.
· 3ngram website read, tools not yet checked
3ngram is a persistent memory layer for AI tools over MCP. Explicitly save decisions, commitments, and context, then search or brief them from Claude, ChatGPT, Cursor, and Codex.
· Maximem website read, tools not yet checked
Maximem gives AI agents persistent, structured memory and active context management, so every interaction gets more personal and accurate while reducing token costs. #1 on LongMemEval at 95.6%, under 15ms at P75 in-conversation retrieval, across the 23 frameworks you already use. Free tier, no credi
agent-memory-memory-get · Cloudflare API verified and signed
Get a memory
· LLMtoMD website read, tools not yet checked
The memory layer for AI development. LLMtoMD turns your PRDs, FRDs, API docs, and websites into AI-ready Markdown your coding agents search and reuse over MCP — so you stop re-explaining context, keep AI aligned to the spec, and cut token costs across the whole development lifecycle. Web app, API, a
memory_package · atomicmemory found in code, not yet checked
Assemble a token-budgeted context package for a query — AtomicMemory selects and formats the most relevant memories to drop into a system prompt.
Labels are the instruments' verdict and are never changed by ranking. Agents and robots get this same answer as JSON at /api/v1/find?q=…&answer=1 and through the MCP server.