{"id":"manujbawa-minime-mcp","name":"minime-mcp","homepage":"https://recallium.ai","repo_url":"https://github.com/manujbawa/minime-mcp","category":"ai-ml","subcategories":[],"tags":["mcp","ai-memory","context-management","developer-productivity","local-first","memory"],"what_it_does":"Based on the available README/metadata, MiniMe-MCP (rebranded to Recallium) is an MCP-based “infinite memory” layer intended for developer AI assistants, with a local deployment concept and support for IDE/assistant integration. The README provided here does not include technical interface details beyond pointing to a new repository and installation guide.","use_cases":["Provide persistent/local “memory” for developer AI assistants across sessions","Unify context/memory for multiple AI IDE tools via the Model Context Protocol (MCP)","Run an MCP server locally to enable assistant tooling for recall/persistence"],"not_for":["Production-grade security-sensitive storage without reviewing the actual server implementation and deployment configuration","Teams needing a documented, stable REST/GraphQL/SDK interface (not evidenced in the provided content)"],"best_when":"You want an MCP-based local memory/context service that can be wired into MCP-capable developer assistants.","avoid_when":"You cannot inspect the target repository’s MCP server behavior, auth model, data storage mechanism, and operational characteristics before use.","alternatives":["Other MCP memory/context implementations (check MCP ecosystem for server options)","Hosted memory/context platforms (if you require turnkey managed service and are comfortable with their trust model)","In-house context store integrated directly into your assistant’s retrieval pipeline"],"af_score":28.8,"security_score":32.8,"reliability_score":27.5,"package_type":"mcp_server","discovery_source":["github"],"priority":"high","status":"evaluated","version_evaluated":null,"last_evaluated":"2026-03-30T15:33:10.597122+00:00","interface":{"has_rest_api":false,"has_graphql":false,"has_grpc":false,"has_mcp_server":true,"mcp_server_url":null,"has_sdk":false,"sdk_languages":[],"openapi_spec_url":null,"webhooks":false},"auth":{"methods":[],"oauth":false,"scopes":false,"notes":"No authentication requirements or mechanisms are described in the provided README/metadata. Actual auth should be confirmed in the new repository (recallium-ai/recallium) and its installation/docs."},"pricing":{"model":null,"free_tier_exists":false,"free_tier_limits":null,"paid_tiers":[],"requires_credit_card":false,"estimated_workload_costs":null,"notes":"No pricing details are provided in the content available here (only repository re-home and links to installation/Docker images)."},"requirements":{"requires_signup":false,"requires_credit_card":false,"domain_verification":false,"data_residency":[],"compliance":[],"min_contract":null},"agent_readiness":{"af_score":28.8,"security_score":32.8,"reliability_score":27.5,"mcp_server_quality":45.0,"documentation_accuracy":35.0,"error_message_quality":0.0,"error_message_notes":null,"auth_complexity":40.0,"rate_limit_clarity":0.0,"tls_enforcement":60.0,"auth_strength":25.0,"scope_granularity":20.0,"dependency_hygiene":30.0,"secret_handling":30.0,"security_notes":"The provided content does not describe transport/security (e.g., whether HTTPS is enforced), authentication, authorization/scopes, secret handling, or dependency posture. TLS/auth/security scores are therefore conservative assumptions based on lack of evidence; validate in the new repository and deployment instructions.","uptime_documented":0.0,"version_stability":50.0,"breaking_changes_history":40.0,"error_recovery":20.0,"idempotency_support":"false","idempotency_notes":null,"pagination_style":"none","retry_guidance_documented":false,"known_agent_gotchas":["Because only the rebrand README is provided here, key operational/MCP details (tool names, parameters, error shapes, rate limits, and connection/auth requirements) are not verifiable from this input.","Local “memory” services can involve persistence and indexing; agents may need explicit guidance to avoid unintended data growth or to handle migrations—none of which is described here."]}}