mcp server
Lians Agent Memory
Bitemporal memory for AI agents with point-in-time recall and tamper-evident audit history.
Description as published by the maintainer. Source
- version 0.5.0
- active
- memory and context
active — Most recent push to the repository was 2026-08-05. Dashed tags are derived by ZBS Index from the published description, not stated by the maintainer.
Signals
These are separate measurements of different things. They are deliberately not combined into one score, because a popularity number that mixes website traffic with saves and stars cannot be checked or acted on.
| Signal | Value | What it measures | Window | Observed | Source |
|---|---|---|---|---|---|
| GitHub stars | 2 | Number of GitHub accounts that bookmarked this repository since it was created. It is a bookmark count, not installs, not active users and not quality. | cumulative, all time | GitHub | |
| Last commit | 2026-08-05 | Date of the most recent push to any branch. This is the strongest cheap indicator of whether the project is still maintained. | point in time | GitHub | |
| Open issues | 10 | Open issues plus open pull requests, as GitHub counts them together. A high number can mean an active project or an abandoned one. | as of fetch | GitHub | |
| Latest published version | 0.5.0 | Latest version string the maintainer published to the registry. | as of fetch | Model Context Protocol | |
| Registry record last updated | 2026-08-02 | When the registry record was last updated by its maintainer. | point in time | Model Context Protocol | |
| License | Apache-2.0 | Licence GitHub detected in the repository. Detection can be wrong; the LICENSE file is authoritative. | as of fetch | GitHub | |
| First listed in the MCP Registry | 2026-08-02 | Date this server was first published to the official MCP Registry. Not a usage or quality measure. | point in time | Model Context Protocol | |
| repository status | active | The repository exists on GitHub and is not archived. This says nothing about how recently it was worked on. | as of fetch | GitHub |
Where to get it
Related, by what their authors tagged them
-
io.github.aks129/healthclaw-guardrails
— last commit 2026-08-06, shares agents, hipaa
Guardrailed FHIR access for AI agents: PHI redaction, audit trail, step-up auth, tenant isolation
-
co.policyforge/mcp
— last commit 2026-08-03, shares hipaa
Generate, audit, and maintain legal policies that match what your code actually does.
-
com.medplum/mcp
— last commit 2026-08-06, shares hipaa
Securely access and manage FHIR healthcare data stored in Medplum.
-
Chia Health MCP Server
— last commit 2026-03-31, shares hipaa
Licensed US telehealth — GLP-1 medications, intake, consents, Stripe ACP. HIPAA-compliant, 30 tools.
-
Compliance AIops
— last commit 2026-08-03, shares hipaa
Compliance evidence from AIops audit trails: HIPAA/PCI/SOC2/GDPR, hash-chain-sealed, 18 tools.
-
Aegis — AI Agent Governance
— last commit 2026-05-05, shares audit-trail, langchain
Policy-based governance for AI agent tool calls. YAML policy, approval gates, audit logging.
-
Synap Memory
— last commit 2026-08-06, shares agent-memory, langchain, memory
Persistent memory for AI agents — log and recall conversation context over MCP.
-
Agent Coherence — Stale Write Guard (FS)
— last commit 2026-07-21, shares agent-memory, langchain
Coherence guard for shared files: denies stale writes so agents don't silently overwrite each other.
-
Cathedral — Persistent Memory for AI Agents
— last commit 2026-06-13, shares agents, langchain, memory
Persistent memory and drift detection for AI agents across session restarts.
-
GrantAi Memory
— last commit 2026-03-16, shares langchain, memory
Persistent memory for AI agents. Infinite context with sub-millisecond recall.
These share tags the maintainers applied themselves, such as agents, hipaa, audit-trail, langchain. Common tags like "mcp" or "ai" are ignored for this: agreeing with six hundred other projects is not a similarity.
This is not a recommendation and not a test result. It is a map of what the authors said their work is about.
How the author describes it
Topics the maintainer set on GitHub: agent-memory, agents, ai, audit-trail, bitemporal, compliance, finance, hipaa, langchain, local-first, mcp, mcp-server, memory, model-context-protocol, point-in-time, python, self-hosted, temporal-memory.
Bring your own setup
We take apart real AI setups every week and show what broke, what cost too much, and what the trace actually said. If you run agents on real work, that is where the useful conversation is.
Join ZBS AI Practice Lab