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History of mnemo-mcp in namespace io.github

io.github.n24q02m/mnemo-mcp · Registry status: active

No name of its own reaches this register for this entry. The heading therefore carries the trailing segment of the identifier; the identifier itself is listed below as a coordinate.

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Changes
2026-09-16First listed in the registry (raw): 2026-09-14 → 2026-09-15
2026-09-16Connection paths (source structure): {"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":[]}
2026-09-16Package versions (raw): 2.15.6 → 2.15.7
2026-09-15Declared version: 2.15.4 → 2.15.6
2026-09-15Last changed in the registry (raw): 2026-09-13 → 2026-09-14
2026-09-15First listed in the registry (raw): 2026-09-13 → 2026-09-14
2026-09-15Connection paths (source structure): {"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":[]}
2026-09-15Package versions (raw): 2.15.4 → 2.15.6
2026-09-14Declared version: 2.14.0 → 2.15.4
2026-09-14Connection paths (source structure): {"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":[]}
2026-09-14Package versions (raw): 2.14.0 → 2.15.4
2026-09-14Repository (raw): 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
2026-09-13Declared version: 2.12.1 → 2.14.0
2026-09-13Last changed in the registry (raw): 2026-09-12 → 2026-09-13
2026-09-13First listed in the registry (raw): 2026-09-12 → 2026-09-13
2026-09-13Connection paths (source structure): {"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":[]}
2026-09-13Package versions (raw): 2.12.1 → 2.14.0
2026-09-12Declared version: 2.10.1 → 2.12.1
2026-09-12Last changed in the registry (raw): 2026-09-02 → 2026-09-12
2026-09-12First listed in the registry (raw): 2026-09-02 → 2026-09-12
2026-09-12Connection paths (source structure): {"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":[]}
2026-09-12Package versions (raw): 2.10.1 → 2.12.1
2026-09-08Connection paths (source structure): – → {"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":[]}
2026-09-03Declared version: 2.9.0 → 2.10.1
2026-09-03Last changed in the registry (raw): 2026-08-31 → 2026-09-02
2026-09-03First listed in the registry (raw): 2026-08-31 → 2026-09-02
2026-09-03Package versions (raw): 2.9.0 → 2.10.1
2026-09-01Declared version: 2.8.0 → 2.9.0
2026-09-01Last changed in the registry (raw): 2026-08-29 → 2026-08-31
2026-09-01First listed in the registry (raw): 2026-08-29 → 2026-08-31
2026-09-01Environment variable descriptions (raw): 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.
2026-09-01Package versions (raw): 2.8.0 → 2.9.0
2026-08-30Declared version: 2.7.0 → 2.8.0
2026-08-30Description (raw): Persistent AI memory with hybrid search (FTS5 + semantic) and cross-machine sync. → Persistent AI memory with hybrid search and embedded sync. Open, free, unlimited.
2026-08-30Last changed in the registry (raw): 2026-07-18 → 2026-08-29
2026-08-30First listed in the registry (raw): 2026-07-18 → 2026-08-29
2026-08-30Runtime hints (raw): docker · uvx → uvx
2026-08-30Package versions (raw): 2.7.0 → 2.8.0
2026-08-30Package identifiers (raw): docker.io/n24q02m/mnemo-mcp:latest, mnemo-mcp → mnemo-mcp
2026-08-30Package registries (raw): oci, pypi → pypi
2026-08-30Transports (raw): stdio, stdio → stdio
2026-08-30Environment variables (raw): API_KEYS, API_KEYS → API_KEYS
2026-08-26Field of use, derived from the vendor description: – → Memory
2026-08-26Description (raw): – → Persistent AI memory with hybrid search (FTS5 + semantic) and cross-machine sync.
2026-08-16Last changed in the registry (raw): – → 2026-07-18
2026-08-16First listed in the registry (raw): – → 2026-07-18
2026-08-16Registry status message (raw): – → –
2026-08-16Schema version of the raw record (raw): – → https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json
2026-08-16Icon formats (raw): – → –

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