Cognio
Cognio is an MCP server and local REST API for storing persistent semantic memories in a SQLite database, enabling semantic (and optional hybrid) search across conversations/projects. It also exposes MCP tools for memory CRUD, project management, stats, export, and text summarization, plus a local web UI dashboard.
Score Breakdown
⚙ Agent Friendliness
🔒 Security
Self-hosted service with optional API_KEY authentication; no details provided on header names, enforcement, or rate limiting. LLM provider keys (e.g., GROQ_API_KEY/OPENAI_API_KEY) are listed as env vars, but no guidance is shown on logging/propagation. TLS requirements and secure deployment hardening are not documented in provided content.
⚡ Reliability
Best When
You want a self-hosted/local semantic memory store for an AI assistant, with project/tag organization and an agent-friendly MCP tool interface.
Avoid When
You cannot control network access to the server or where storing user content in a local SQLite DB without formal compliance/security controls is unacceptable.
Use Cases
- • Long-term personal knowledge base that persists across AI sessions
- • Semantic retrieval of notes, research, and learning journals
- • Project-scoped memory management to reduce cross-workspace mixing
- • Embedding-based memory search for assistants (via MCP or REST)
- • Exporting memories for backup/migration and generating summaries
Not For
- • Highly secure multi-tenant deployments without network isolation
- • Use cases requiring strict data residency guarantees or enterprise compliance commitments
- • Production systems needing guaranteed SLAs or formal reliability guarantees
Interface
Authentication
Authentication appears optional (API_KEY in .env.example). The README does not document auth header format, enforcement behavior, or scope granularity.
Pricing
Open-source self-hosted. Costs depend on embedding model runtime and optional LLM-based features (e.g., Groq/OpenAI) if enabled.
Agent Metadata
Known Gotchas
- ⚠ Project isolation requires explicitly setting project or using set_active_project; otherwise memories may mix across workspaces.
- ⚠ Optional auto-tagging and summarization depend on external LLM provider configuration; failures there may impact tool flows.
Alternatives
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Scores are editorial opinions as of 2026-03-30.