{"id":"aiming-lab-simplemem","name":"SimpleMem","homepage":null,"repo_url":"https://github.com/aiming-lab/SimpleMem","category":"ai-ml","subcategories":[],"tags":["ai-ml","mcp","memory","rag","retrieval","semantic-search","python","lifelong-learning","vector-search","bm25"],"what_it_does":"SimpleMem is a Python memory framework for LLM agents that stores, compresses (semantic lossless compression), and retrieves long-term memories using semantic/lexical/symbolic indexing. It supports cross-session/persistent memory and can be used via MCP (cloud-hosted and/or run locally with Docker) and via Python integration with OpenAI-compatible LLM/embedding backends.","use_cases":["Persisting user/agent knowledge across chat sessions","Retrieval-augmented generation (RAG) with token-efficient memory context building","Long-running agents that need intent-aware memory recall","Compressing conversation history into compact, structured memory units for lower token usage","Building custom MCP clients/skills that need a memory backend"],"not_for":["Regulatory-grade personal data retention without careful data governance","Use as a standalone database without LLM/embedding dependencies","Environments requiring formally specified API contracts and guaranteed backward compatibility (not evidenced in provided content)"],"best_when":"You want long-term memory for LLM agents with a MCP-accessible memory service and are willing to configure an OpenAI-compatible API for generation/embeddings.","avoid_when":"You cannot provide an OpenAI-compatible API key or cannot operate the required services (cloud MCP or local Docker stack). If you need strong, explicitly documented privacy/compliance guarantees, evaluate further beyond marketing/README content.","alternatives":["Mem0","LangChain memory/RAG tooling","LanceDB + custom embedding/BM25 pipelines","Other MCP-based memory services (general)"],"af_score":52.2,"security_score":48.8,"reliability_score":31.2,"package_type":"skill","discovery_source":["openclaw"],"priority":"high","status":"evaluated","version_evaluated":null,"last_evaluated":"2026-03-29T18:05:20.509229+00:00","interface":{"has_rest_api":true,"has_graphql":false,"has_grpc":false,"has_mcp_server":true,"mcp_server_url":"https://mcp.simplemem.cloud","has_sdk":false,"sdk_languages":["Python"],"openapi_spec_url":null,"webhooks":false},"auth":{"methods":["MCP token query parameter (SSE endpoint)","OpenAI-compatible API key for LLM/embeddings (config.py)"],"oauth":false,"scopes":false,"notes":"The MCP SSE endpoint example uses a token in the URL query string (mcp/sse?token=...). Scopes and rotation/expiration are not described in the provided content."},"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 for the cloud MCP service were present in the provided content; costs likely depend on your OpenAI-compatible model usage plus hosting."},"requirements":{"requires_signup":false,"requires_credit_card":false,"domain_verification":false,"data_residency":[],"compliance":[],"min_contract":null},"agent_readiness":{"af_score":52.2,"security_score":48.8,"reliability_score":31.2,"mcp_server_quality":70.0,"documentation_accuracy":65.0,"error_message_quality":0.0,"error_message_notes":null,"auth_complexity":70.0,"rate_limit_clarity":10.0,"tls_enforcement":70.0,"auth_strength":55.0,"scope_granularity":20.0,"dependency_hygiene":40.0,"secret_handling":55.0,"security_notes":"HTTPS is implied for the cloud MCP URL but not explicitly stated. MCP example passes a token in the URL query string, which can leak via logs/referers if misused. OpenAI-compatible API key is configured in config.py; the README does not describe secret storage practices (env vars, vault, redaction) or logging/PII handling. No security controls (scopes, RBAC, audit logs, retention controls) are documented in the provided content.","uptime_documented":20.0,"version_stability":40.0,"breaking_changes_history":30.0,"error_recovery":35.0,"idempotency_support":"false","idempotency_notes":null,"pagination_style":"none","retry_guidance_documented":false,"known_agent_gotchas":["MCP auth example suggests token is passed via query parameter; agents should avoid logging URLs containing tokens.","Requires an OpenAI-compatible API key and correct base URL/model config; misconfiguration can cause initialization failures.","If using Docker/local service, ensure persistent storage volumes are configured if cross-session memory is required.","Pagination/idempotency/retry semantics for memory write/retrieve operations were not evident in the provided README excerpt."]}}