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inspeximus: agent memory with provenance, GDPR erasure and a tamper-evident audit trail
Self-correcting agent memory: recall, supersede, revert, forget, GDPR erasure, audit receipts.
DanceNitradancenitra/inspeximus
server.json
{
"$schema": "https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json",
"name": "io.github.DanceNitra/inspeximus",
"description": "Self-correcting agent memory: recall, supersede, revert, forget, GDPR erasure, audit receipts.",
"title": "inspeximus: agent memory with provenance, GDPR erasure and a tamper-evident audit trail",
"repository": {
"url": "https://github.com/DanceNitra/inspeximus",
"source": "github"
},
"version": "3.17.1",
"websiteUrl": "https://pypi.org/project/inspeximus/",
"icons": [
{
"src": "https://raw.githubusercontent.com/DanceNitra/inspeximus/main/docs/assets/icon-512.png",
"mimeType": "image/png",
"sizes": [
"512x512"
]
},
{
"src": "https://raw.githubusercontent.com/DanceNitra/inspeximus/main/docs/assets/icon.svg",
"mimeType": "image/svg+xml",
"sizes": [
"any"
]
}
],
"packages": [
{
"registryType": "pypi",
"identifier": "inspeximus",
"version": "3.17.1",
"runtimeHint": "uvx",
"transport": {
"type": "stdio"
},
"runtimeArguments": [
{
"value": "inspeximus[mcp]",
"type": "named",
"name": "--from"
}
],
"packageArguments": [
{
"value": "mcp",
"type": "positional"
}
],
"environmentVariables": [
{
"description": "Path to the JSON memory file the server persists to (defaults to ./inspeximus_memory.json).",
"format": "string",
"name": "INSPEXIMUS_PATH"
},
{
"description": "1 (default) blocks a restated retired value from resurrecting a corrected fact; 0 = legacy keyed supersession.",
"format": "string",
"name": "INSPEXIMUS_ECHO_GUARD"
},
{
"description": "Optional OpenAI-compatible /embeddings endpoint for SEMANTIC recall (e.g. http://localhost:11434/v1/embeddings for local Ollama). Unset = deterministic lexical recall.",
"format": "string",
"name": "INSPEXIMUS_EMBED_URL"
},
{
"description": "Embedding model id used with INSPEXIMUS_EMBED_URL (default: text-embedding-3-small; for Ollama use e.g. nomic-embed-text).",
"format": "string",
"name": "INSPEXIMUS_EMBED_MODEL"
}
]
}
]
}权限
声明检测
运行代码—
python安装—
pypi:inspeximus@3.17.1安装时运行脚本—无
网络无无
需要的凭据无无
工作区外的路径—无
智能体工具—无
检查
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未经人工审核 · 已做规则检查;模型审核尚未开启。
版本
- #63.17.1最新2026年10月10日
- #53.17.02026年10月9日
- #43.16.62026年10月8日
- #33.16.52026年10月7日
- #23.16.42026年10月7日
- #13.16.32026年10月7日
inspeximus: agent memory with provenance, GDPR erasure and a tamper-evident audit trail在 Codeg 中打开