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Related Servers

Alternatives to inspeximus

Related Servers

  • A
    license
    A
    quality
    C
    maintenance
    Self-hosted MCP-native agent memory server. Gives AI agents persistent, decay-weighted memory via 83 MCP tools — no cloud, full control. RocksDB+HNSW backend. Works with Claude Code, Cursor, and any MCP-compatible agent.
    14
    9
    MIT
  • A
    license
    A
    quality
    D
    maintenance
    Memory for AI agents that can't hallucinate — answers only from stored facts with a citation, or honestly abstains. Provable forgetting (GDPR), valid-time, Merkle proofs, deterministic. MCP server, CPU-only, zero dependencies.
    13
    1
    MIT
  • A
    license
    Not graded
    quality
    C
    maintenance
    Open-source MCP memory server for AI agents — persistent, searchable, tiered memory across sessions. Works over stdio (Cursor, Claude Desktop) or HTTP+SSE. MIT licensed.
    8
    MIT
  • A
    license
    Not graded
    quality
    B
    maintenance
    Local-first MCP server that lets AI agents query their own LLM call history as a branchable DAG and offload conversation context into immutable, AES-256-GCM-encrypted capsules — restorable in full or per segment, crypto-shreddable, with RAID-style replication. 12 tools, no API keys, no cloud.
    104 npm
    3
    MIT
  • A
    license
    B
    quality
    B
    maintenance
    Provenance-first agent memory MCP server with a real corrections API (assert/retract/supersede with tombstones) and a one-command junk audit for memory stores.
    5
    1
    MIT
  • A
    license
    Not graded
    quality
    A
    maintenance
    Local-first memory for AI agents: one store shared by Claude Code, Codex CLI, Cursor, Pi, Hermes, OpenClaw, and any MCP client. Plain markdown with YAML frontmatter on your disk, hybrid BM25 + vector recall with per-result provenance (Recall X-ray), a correction contract, and the MemCorrect benchmark.
    231
    MIT

TDQS

B3.4/5.0

Scored across 135 tools

Disambiguation3/5

Most tools are carefully differentiated and often explicitly cross-reference their siblings (get vs get_as, recall vs recall_as, forget vs forget_subject vs forget_pii, remember vs remember_decision). However, several clusters genuinely overlap: consolidate/sleep/consolidate_clusters all run consolidation, and compliance_report/compliance_check/governance_report/coverage/audit_bundle all report governance posture. With 135 tools, an agent faces real misselection risk across the compliance and maintenance clusters despite the verbose descriptions.

Naming Consistency4/5

Names are uniformly snake_case and follow a readable convention: verbs for actions (remember, forget, recall, credit, grant, revoke) and nouns or noun_report/noun_register pairs for views (contradictions, coverage, risk_register, incident_report). The pattern is mostly predictable, with only minor deviations from a strict verb_noun scheme.

Tool Count1/5

135 tools is an extreme surface for a single MCP server. Even granting the broad domain (memory store + GDPR + EU AI Act compliance + action ledger + partitions + ACL), the count far exceeds what an agent can hold coherently, and many tools could be consolidated into a handful of parameterized operations.

Completeness5/5

Coverage is exhaustive to the point of excess: full memory lifecycle (write, read, correct, revert, retire, erase), provenance, tamper-evidence, access control, partitions, and article-labelled EU AI Act/GDPR records with matching read-only registers for nearly every write. Obvious workflows have no dead ends.

Maintenance

ActivityActive
ResponsivenessSlow