MCP servers for agent memory
MCP servers whose description speaks of memory, persistent context or recalling earlier sessions.
What this excerpt selects
| Measured field of use | Memory derived from: Description (raw) |
|---|
A derived value carries its raw declaration beside it; the derivation rule is published, with a version, on the methodology page.
What this excerpt does not say
- Measured field of use is not declared but computed: from Description (raw). The rule is published, with a version, on the methodology page.
What is measured is what a manifest declares, not what a piece of software does. This registry fetches no repository URL, no endpoint and no package index; nothing here is verified. Which value comes from which source, and by which rule it was formed, is set out in the Methodology.
Every sentence here follows from the condition above, not from an assessment.
How this excerpt is distributed
Delivery form (raw)
855| paket | 552 65 % |
|---|---|
| remote | 245 29 % |
| paket und remote | 43 5.0 % |
| keines | 15 1.8 % |
Execution location
855| local | 591 69 % |
|---|---|
| remote | 264 31 % |
Credentials declared
855| no | 715 84 % |
|---|---|
| yes | 140 16 % |
Repository platform (raw)
855| github | 730 85 % |
|---|---|
| nothing declared | 124 15 % |
| gitlab | 1 0.1 % |
Repository URL listed
855| yes | 731 85 % |
|---|---|
| no | 124 15 % |
Schema version of the raw record (raw)
855| https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json | 785 92 % |
|---|---|
| https://static.modelcontextprotocol.io/schemas/2025-09-29/server.schema.json | 38 4.4 % |
| https://static.modelcontextprotocol.io/schemas/2025-10-17/server.schema.json | 17 2.0 % |
| https://static.modelcontextprotocol.io/schemas/2025-07-09/server.schema.json | 13 1.5 % |
| https://static.modelcontextprotocol.io/schemas/2025-09-16/server.schema.json | 2 0.2 % |
Per property, the measured values inside this excerpt. The share refers to the 855 entries of the excerpt, not to the registry. Shown are 6 of 8 properties: those whose values spread the most inside this excerpt.
The same excerpt through the interface
curl -s "https://api.tracevero.com/v1/eintraege?art=mcp_server&einsatzgebiet=gedaechtnis&grenze=200"
The command carries exactly the condition of this page. 855 entries at 200 each are 5 requests; the total is in the X-Gesamt header.
Changes to these entries
https://tracevero.com/aenderungen.atom?thema=einsatz-gedaechtnis
Both addresses narrow the change stream to exactly the entries in this excerpt. The feed carries an identifier of its own, so a feed reader keeps it apart from the full stream.
Excerpts sharing entries with this one
Per neighbour its own size and the counted number of shared entries. An excerpt without a single shared entry is not listed here.
Entries
Entries 201 to 250 of 855
| MemoraEU | io.github.pquattro/memoraeu-mcp |
|---|---|
| Memorix | io.github.AVIDS2/memorix |
| Memory Engine MCP | io.github.SimoneB79/memory-engine-mcp |
| Memory Fabric | io.github.elViRafa/memory-fabric |
| Memory Kernel | io.github.Artem362/memory-kernel |
| Memory MCP Server | io.github.j0hanz/memory-mcp |
| Memory OS AI | io.github.romainsantoli-web/memory-os-ai |
| Memory Vault | io.github.MihaiBuilds/memory-vault |
| Memory Vault | io.github.apurv101/memory-vault |
| MemoryPlugin | com.memoryplugin/memory |
| MemoryRouter | ai.memoryrouter/memoryrouter |
| MemorySync | io.memorysync/memory |
| Memphora | io.github.Memphora/memphora |
| Memroam | com.memroam/memroam |
| Memside | io.github.memside/memside |
| MeshMarket | io.github.RightOnPar-LLC/mesh-connector |
| Midas | io.github.vornicx/midas |
| Mimir — Persistent Memory Engine | io.github.tcconnally/mimir |
| MindCore Memory MCP | io.github.woshilaohei/mindcore-memory |
| MindFlows | us.mindflows/mcp-server |
| Mindswap | io.github.ShipOrBleed/mindswap |
| Mini Data Engine Runtime Copilot | io.github.kroq86/mini-data-engine |
| Mirror | io.github.mctx-ai/mirror |
| Mitos | io.github.dovahkiin-v/mitos |
| Mnema — AI Memory Layer | io.github.hoanglt1223/mnema |
| Mneme | io.github.patsa2561-art/mneme-ai |
| Mnemolog MCP | dev.pages.mnemolog/mnemolog |
| Mnemos — memory as a service | com.virohanalife/mnemos |
| Mnemoverse Memory | io.github.mnemoverse/mcp-memory-server |
| Moltline Recall | com.moltlinestudio/recall |
| Monarch Initiative | io.github.pipeworx-io/monarch-initiative |
| Monet | io.github.team-monet/monet |
| Motecloud Memory | io.github.motecloud/motecloud-mcp-server |
| Multinex MemQ | ai.multinex/memq |
| N3MemoryCore Lite (Working Memory) | io.github.NeuralNexusNote/n3mc-workingmemory |
| NASC — Networked AI Session Continuity | com.archerionlabs/nasc |
| NVIDIA NemoClaw CKG | io.github.Yarmoluk/ckg-nvidia-nemoclaw |
| Nahuali | io.github.Arakiss/nahuali |
| Naumu | ai.naumu/mcp |
| Nautilus Compass | io.github.chunxiaoxx/nautilus-compass |
| Neonia: The Cloud Backend for AI Agents | io.neonia/cloud-backend |
| NervaPack | io.github.ramdhavepreetam/nervapack |
| NeuralBrain | io.github.alexcurpan-cloud/neuralbrain |
| NeuroDock Cognitive Graph | io.github.tlennon-ie/neurodock-mcp-cognitive-graph |
| NeuroStack | io.github.raphasouthall/neurostack |
| Norn | io.github.samad001z/norn |
| Notes | io.github.Abhishekkumar2021/notes |
| Novyx MCP | io.github.novyxlabs/novyx-mcp |
| Nuzo Memory | io.github.fabionfsc/nuzo-memory |
| OMEGA Memory | io.github.omega-memory/omega-memory |
All 855 entries in the list, with filters and pagination
tracevero · https://tracevero.com/themen/einsatz-gedaechtnis?seite=5