Ingest & scan
Episodes land as raw source. Detectors flag secrets and PII before any model call.
episode.ingestsensitivityMemLedger Cloud turns agent episodes into durable memory with source traces, salience gates, temporal graphs, and multi-provider embedding — accessible through Remote MCP and REST API.
Memory for the agents you already run
Every episode flows through the same cloud formation pipeline with configurable model providers.
Episodes land as raw source. Detectors flag secrets and PII before any model call.
episode.ingestsensitivityCloud models pull structured claims with source evidence spans.
candidatesentitiesCalibrated gates rate usefulness, junk, duplicate, and risk.
p_usefulp_junkTemporal neighbors resolve each candidate to ADD, UPDATE, DELETE, or NOOP.
ADDUPDATENOOPCanonical ops replay into projection, full-text, pgvector, and graph indexes.
projectionRRF indexRust API, Rust workers, PostgreSQL + pgvector, multi-provider model registry, and review workflows.
Connect Codex, Claude Code, Cursor, or Zed through a single MCP endpoint.
Streamable HTTPLexical, vector, entity, temporal, graph, and reflection channels.
9 channels · 1 rankingOpenAI, Anthropic, NVIDIA NIM, Voyage, Cohere, Jina adapters.
bring your own keyEvent-time and system-time intervals on every durable fact.
as_of_event · as_of_systemPer-object encryption and cryptographic FORGET with key destruction.
XChaCha20 · KMSHuman-in-the-loop review queue for proposed memory operations.
approve · edit · rejectAdd the MemLedger MCP server to your agent config, or call the REST API directly.
# connect your agent via Remote MCP{ "mcpServers": { "memledger": { "url": "https://mcp.memledger.dev", "headers": { "Authorization": "Bearer ml_..." } } }}API core, Remote MCP, retrieval, workers, security, and eval profiles — all independently verified.
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Generous free tier for development. Production plans add higher quotas, priority workers, and SLA.
Connect via Remote MCP, ingest through the API, review in the console.
Get started free