ctxvault

CtxVault provides a local-first semantic memory system for AI agents. Memory is organized into directory-backed 'vaults' with independent vector indexes and optional access restrictions. It supports a CLI for managing/indexing/querying vaults, a FastAPI-based HTTP REST API for CRUD/search/write operations, and an MCP server for direct agent access (list/query/write/docs).

Evaluated Mar 30, 2026 (21d ago)
Homepage ↗ Repo ↗ Ai Ml ai-agents semantic-search rag local-first persistent-memory vector-database fastapi mcp cli chromadb
⚙ Agent Friendliness
51
/ 100
Can an agent use this?
🔒 Security
47
/ 100
Is it safe for agents?
⚡ Reliability
22
/ 100
Does it work consistently?

Score Breakdown

⚙ Agent Friendliness

MCP Quality
45
Documentation
70
Error Messages
0
Auth Simplicity
25
Rate Limits
10

🔒 Security

TLS Enforcement
50
Auth Strength
30
Scope Granularity
45
Dep. Hygiene
55
Secret Handling
60

Local-first design reduces exposure to external services, but README does not describe transport security (TLS) or authentication/authorization for HTTP/MCP. Restricted vaults and 'agent' attachment provide access control at an application level, but without documented cryptographic auth this may be weak if exposed beyond localhost. Ensure filesystem permissions for vault directories, and review how HTTP endpoints authenticate and how embedding/LLM providers are configured. Dependencies include common libraries (FastAPI, chromadb, sentence-transformers, pydantic), but no CVE posture is provided.

⚡ Reliability

Uptime/SLA
0
Version Stability
40
Breaking Changes
20
Error Recovery
30
AF Security Reliability

Best When

You want local, composable agent memory with explicit isolation boundaries (per-vault indexes) and you need both human observability (CLI/filesystem) and programmatic access (REST/MCP).

Avoid When

You cannot guarantee local environment security (filesystem permissions, process isolation) or you require formal SLA/uptime guarantees and strong operational assurances from a hosted provider.

Use Cases

  • Persistent, semantic RAG memory for agents across sessions (local-only)
  • Multi-agent setups requiring structural isolation between agents via restricted vaults
  • Building local knowledge bases for workflows (documents indexed into per-vault vector indexes)
  • Observability/control of what agents store via human-accessible filesystem + CLI
  • Integrating vault search/write into LangChain/LangGraph via the REST API

Not For

  • Centralized, multi-tenant cloud deployments needing provider-managed security boundaries
  • Use cases requiring strict enterprise security/compliance guarantees without additional hardening and review
  • High-scale production workloads where a managed vector DB/service would be preferable

Interface

REST API
Yes
GraphQL
No
gRPC
No
MCP Server
Yes
SDK
No
Webhooks
No

Authentication

Methods: None documented for HTTP/MCP/CLI in README (local access + CLI/MCP args for restricted vaults)
OAuth: No Scopes: No

README describes public vs restricted vaults and attaching agents via CLI; however, it does not describe HTTP auth (API keys, JWT, OAuth) or fine-grained authentication for API callers. MCP access appears based on the agent name argument for restricted vaults, which is not equivalent to cryptographic authentication unless implemented otherwise.

Pricing

Free tier: No
Requires CC: No

Local open-source library (MIT). Cost depends on your local compute and any embedding/LLM providers you use externally.

Agent Metadata

Pagination
none
Idempotent
False
Retry Guidance
Not documented

Known Gotchas

  • Restricted vault access relies on attaching agents / passing an --agent argument for restricted vaults; ensure the agent name mapping is correct, otherwise access may fail.
  • Vault data is local on disk; multiple processes/agents running with the same machine user context can affect perceived isolation if filesystem permissions are not managed.

Alternatives

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Scores are editorial opinions as of 2026-03-30.

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