Zum Inhalt springen

Verlauf von mnemo-mcp im Namensraum io.github

io.github.n24q02m/mnemo-mcp · Registerstatus: aktiv

Die Quelle liefert zu diesem Eintrag keinen eigenen Namen. In der Überschrift steht deshalb der hintere Teil des Bezeichners; vollständig steht er als Koordinate darunter.

Angaben zu diesem Eintrag melden

Jede veröffentlichte Änderung an diesem Eintrag, die jüngste zuerst.

Änderungen
2026-09-16Im Register eingetragen am (Rohangabe): 2026-09-14 → 2026-09-15
2026-09-16Verbindungswege (Quellstruktur): {"packages":[{"registryType":"pypi","identifier":"mnemo-mcp","version":"2.15.6","runtimeHint":"uvx","transport":"stdio","environment":[{"name":"API_KEYS","description":"Provider API keys (format: PROVIDER_API_KEY:key,...). Select models per task with EMBEDDING_MODELS / RERANK_MODELS / LLM_MODELS (CSV provider/model, order = litellm fallback); provider is inferred from the model prefix. Empty embedding/rerank chains select Fastretrieval local ONNX/GGUF models; configured cloud chains never silently fall back to local.","required":false,"secret":true}],"additional_arguments_declared":false}],"remotes":[]} → {"packages":[{"registryType":"pypi","identifier":"mnemo-mcp","version":"2.15.7","runtimeHint":"uvx","transport":"stdio","environment":[{"name":"API_KEYS","description":"Provider API keys (format: PROVIDER_API_KEY:key,...). Select models per task with EMBEDDING_MODELS / RERANK_MODELS / LLM_MODELS (CSV provider/model, order = litellm fallback); provider is inferred from the model prefix. Empty embedding/rerank chains select Fastretrieval local ONNX/GGUF models; configured cloud chains never silently fall back to local.","required":false,"secret":true}],"additional_arguments_declared":false}],"remotes":[]}
2026-09-16Paketversionen (Rohangabe): 2.15.6 → 2.15.7
2026-09-15Deklarierte Version: 2.15.4 → 2.15.6
2026-09-15Im Register geändert am (Rohangabe): 2026-09-13 → 2026-09-14
2026-09-15Im Register eingetragen am (Rohangabe): 2026-09-13 → 2026-09-14
2026-09-15Verbindungswege (Quellstruktur): {"packages":[{"registryType":"pypi","identifier":"mnemo-mcp","version":"2.15.4","runtimeHint":"uvx","transport":"stdio","environment":[{"name":"API_KEYS","description":"Provider API keys (format: PROVIDER_API_KEY:key,...). Select models per task with EMBEDDING_MODELS / RERANK_MODELS / LLM_MODELS (CSV provider/model, order = litellm fallback); provider is inferred from the model prefix. Empty embedding/rerank chains select Fastretrieval local ONNX/GGUF models; configured cloud chains never silently fall back to local.","required":false,"secret":true}],"additional_arguments_declared":false}],"remotes":[]} → {"packages":[{"registryType":"pypi","identifier":"mnemo-mcp","version":"2.15.6","runtimeHint":"uvx","transport":"stdio","environment":[{"name":"API_KEYS","description":"Provider API keys (format: PROVIDER_API_KEY:key,...). Select models per task with EMBEDDING_MODELS / RERANK_MODELS / LLM_MODELS (CSV provider/model, order = litellm fallback); provider is inferred from the model prefix. Empty embedding/rerank chains select Fastretrieval local ONNX/GGUF models; configured cloud chains never silently fall back to local.","required":false,"secret":true}],"additional_arguments_declared":false}],"remotes":[]}
2026-09-15Paketversionen (Rohangabe): 2.15.4 → 2.15.6
2026-09-14Deklarierte Version: 2.14.0 → 2.15.4
2026-09-14Verbindungswege (Quellstruktur): {"packages":[{"registryType":"pypi","identifier":"mnemo-mcp","version":"2.14.0","runtimeHint":"uvx","transport":"stdio","environment":[{"name":"API_KEYS","description":"Provider API keys (format: PROVIDER_API_KEY:key,...). Select models per task with EMBEDDING_MODELS / RERANK_MODELS / LLM_MODELS (CSV provider/model, order = litellm fallback); provider is inferred from the model prefix. Empty embedding/rerank chains select Fastretrieval local ONNX/GGUF models; configured cloud chains never silently fall back to local.","required":false,"secret":true}],"additional_arguments_declared":false}],"remotes":[]} → {"packages":[{"registryType":"pypi","identifier":"mnemo-mcp","version":"2.15.4","runtimeHint":"uvx","transport":"stdio","environment":[{"name":"API_KEYS","description":"Provider API keys (format: PROVIDER_API_KEY:key,...). Select models per task with EMBEDDING_MODELS / RERANK_MODELS / LLM_MODELS (CSV provider/model, order = litellm fallback); provider is inferred from the model prefix. Empty embedding/rerank chains select Fastretrieval local ONNX/GGUF models; configured cloud chains never silently fall back to local.","required":false,"secret":true}],"additional_arguments_declared":false}],"remotes":[]}
2026-09-14Paketversionen (Rohangabe): 2.14.0 → 2.15.4
2026-09-14Repository (Rohangabe): https://github.com/n24q02m/mnemo-mcp.git → https://github.com/n24q02m/mnemo.git
2026-09-14Homepage: https://github.com/n24q02m/mnemo-mcp.git → https://github.com/n24q02m/mnemo.git
2026-09-13Deklarierte Version: 2.12.1 → 2.14.0
2026-09-13Im Register geändert am (Rohangabe): 2026-09-12 → 2026-09-13
2026-09-13Im Register eingetragen am (Rohangabe): 2026-09-12 → 2026-09-13
2026-09-13Verbindungswege (Quellstruktur): {"packages":[{"registryType":"pypi","identifier":"mnemo-mcp","version":"2.12.1","runtimeHint":"uvx","transport":"stdio","environment":[{"name":"API_KEYS","description":"Provider API keys (format: PROVIDER_API_KEY:key,...). Select models per task with EMBEDDING_MODELS / RERANK_MODELS / LLM_MODELS (CSV provider/model, order = litellm fallback); provider is inferred from the model prefix. Empty embedding/rerank chains select Fastretrieval local ONNX/GGUF models; configured cloud chains never silently fall back to local.","required":false,"secret":true}],"additional_arguments_declared":false}],"remotes":[]} → {"packages":[{"registryType":"pypi","identifier":"mnemo-mcp","version":"2.14.0","runtimeHint":"uvx","transport":"stdio","environment":[{"name":"API_KEYS","description":"Provider API keys (format: PROVIDER_API_KEY:key,...). Select models per task with EMBEDDING_MODELS / RERANK_MODELS / LLM_MODELS (CSV provider/model, order = litellm fallback); provider is inferred from the model prefix. Empty embedding/rerank chains select Fastretrieval local ONNX/GGUF models; configured cloud chains never silently fall back to local.","required":false,"secret":true}],"additional_arguments_declared":false}],"remotes":[]}
2026-09-13Paketversionen (Rohangabe): 2.12.1 → 2.14.0
2026-09-12Deklarierte Version: 2.10.1 → 2.12.1
2026-09-12Im Register geändert am (Rohangabe): 2026-09-02 → 2026-09-12
2026-09-12Im Register eingetragen am (Rohangabe): 2026-09-02 → 2026-09-12
2026-09-12Verbindungswege (Quellstruktur): {"packages":[{"registryType":"pypi","identifier":"mnemo-mcp","version":"2.10.1","runtimeHint":"uvx","transport":"stdio","environment":[{"name":"API_KEYS","description":"Provider API keys (format: PROVIDER_API_KEY:key,...). Select models per task with EMBEDDING_MODELS / RERANK_MODELS / LLM_MODELS (CSV provider/model, order = litellm fallback); provider is inferred from the model prefix. Empty embedding/rerank chains select Fastretrieval local ONNX/GGUF models; configured cloud chains never silently fall back to local.","required":false,"secret":true}],"additional_arguments_declared":false}],"remotes":[]} → {"packages":[{"registryType":"pypi","identifier":"mnemo-mcp","version":"2.12.1","runtimeHint":"uvx","transport":"stdio","environment":[{"name":"API_KEYS","description":"Provider API keys (format: PROVIDER_API_KEY:key,...). Select models per task with EMBEDDING_MODELS / RERANK_MODELS / LLM_MODELS (CSV provider/model, order = litellm fallback); provider is inferred from the model prefix. Empty embedding/rerank chains select Fastretrieval local ONNX/GGUF models; configured cloud chains never silently fall back to local.","required":false,"secret":true}],"additional_arguments_declared":false}],"remotes":[]}
2026-09-12Paketversionen (Rohangabe): 2.10.1 → 2.12.1
2026-09-08Verbindungswege (Quellstruktur): – → {"packages":[{"registryType":"pypi","identifier":"mnemo-mcp","version":"2.10.1","runtimeHint":"uvx","transport":"stdio","environment":[{"name":"API_KEYS","description":"Provider API keys (format: PROVIDER_API_KEY:key,...). Select models per task with EMBEDDING_MODELS / RERANK_MODELS / LLM_MODELS (CSV provider/model, order = litellm fallback); provider is inferred from the model prefix. Empty embedding/rerank chains select Fastretrieval local ONNX/GGUF models; configured cloud chains never silently fall back to local.","required":false,"secret":true}],"additional_arguments_declared":false}],"remotes":[]}
2026-09-03Deklarierte Version: 2.9.0 → 2.10.1
2026-09-03Im Register geändert am (Rohangabe): 2026-08-31 → 2026-09-02
2026-09-03Im Register eingetragen am (Rohangabe): 2026-08-31 → 2026-09-02
2026-09-03Paketversionen (Rohangabe): 2.9.0 → 2.10.1
2026-09-01Deklarierte Version: 2.8.0 → 2.9.0
2026-09-01Im Register geändert am (Rohangabe): 2026-08-29 → 2026-08-31
2026-09-01Im Register eingetragen am (Rohangabe): 2026-08-29 → 2026-08-31
2026-09-01Beschreibungen der Umgebungsvariablen (Rohangabe): API_KEYS=Provider API keys (format: PROVIDER_API_KEY:key,...). Select models per task with EMBEDDING_MODELS / RERANK_MODELS / LLM_MODELS (CSV provider/model, order = litellm fallback); provider is inferred from the model prefix. Empty embedding/rerank chain falls back to the built-in local Qwen3 model. → API_KEYS=Provider API keys (format: PROVIDER_API_KEY:key,...). Select models per task with EMBEDDING_MODELS / RERANK_MODELS / LLM_MODELS (CSV provider/model, order = litellm fallback); provider is inferred from the model prefix. Empty embedding/rerank chains select Fastretrieval local ONNX/GGUF models; configured cloud chains never silently fall back to local.
2026-09-01Paketversionen (Rohangabe): 2.8.0 → 2.9.0
2026-08-30Deklarierte Version: 2.7.0 → 2.8.0
2026-08-30Beschreibung (Rohangabe): Persistent AI memory with hybrid search (FTS5 + semantic) and cross-machine sync. → Persistent AI memory with hybrid search and embedded sync. Open, free, unlimited.
2026-08-30Im Register geändert am (Rohangabe): 2026-07-18 → 2026-08-29
2026-08-30Im Register eingetragen am (Rohangabe): 2026-07-18 → 2026-08-29
2026-08-30Laufzeithinweise (Rohangabe): docker · uvx → uvx
2026-08-30Paketversionen (Rohangabe): 2.7.0 → 2.8.0
2026-08-30Paketbezeichner (Rohangabe): docker.io/n24q02m/mnemo-mcp:latest, mnemo-mcp → mnemo-mcp
2026-08-30Paketquellen (Rohangabe): oci, pypi → pypi
2026-08-30Transportarten (Rohangabe): stdio, stdio → stdio
2026-08-30Umgebungsvariablen (Rohangabe): API_KEYS, API_KEYS → API_KEYS
2026-08-26Einsatzgebiet, aus der Anbieterbeschreibung abgeleitet: – → Gedächtnis
2026-08-26Beschreibung (Rohangabe): – → Persistent AI memory with hybrid search (FTS5 + semantic) and cross-machine sync.
2026-08-16Im Register geändert am (Rohangabe): – → 2026-07-18
2026-08-16Im Register eingetragen am (Rohangabe): – → 2026-07-18
2026-08-16Statusmeldung des Registers (Rohangabe): – → –
2026-08-16Schemafassung des Rohsatzes (Rohangabe): – → https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json
2026-08-16Symbolformate (Rohangabe): – → –

Diese Ansicht blättert vorwärts und nennt keine Gesamtzahl: Einzelne Zeilen entfallen erst bei der Ausgabe, wenn ihr Beleg fehlt. Eine gezählte Zahl wäre größer als die gezeigte.

tracevero · https://tracevero.de/mcp/io-github-n24q02m-mnemo-mcp/aenderungen