“Zep | Examples, Integrations, & More”
License: Apache-2.0. Verified 2026-07-25 from the public repository.
Zep is a managed agent memory platform. Bilinc is a hosted state plane built around the operational record of a write — verification, provenance, contradictions, and rollback.
“Zep | Examples, Integrations, & More”
License: Apache-2.0. Verified 2026-07-25 from the public repository.
Hosted memory infrastructure for AI agents: commit, recall, and inspect agent state through one API key, with verification, provenance, and recovery around every write.
License: BUSL-1.1. Public package bilinc 2.2.0, cloud-only.
Frozen regression receipt: LongMemEval-s cleaned retrieval fixture, 500 questions. R@5 98.0%, NDCG@5 0.913.
Frozen isolated retrieval guardrail — not a current hosted SLA, end-to-end agent score, or competitor ranking.
This page does not publish benchmark numbers for Zep. Published memory-system scores use different metrics, datasets, and levels of LLM assistance, so a single side-by-side table would misrepresent all of them.
The public getzep/zep repository is Apache-2.0 and contains example code, framework integrations, and tools for building agent memory with Zep Cloud, the managed platform. The company has published a post announcing a new direction for its open-source strategy. Check their current documentation before assuming a specific self-hosting path.
No. Bilinc is BUSL-1.1 and the public package is a cloud-only SDK, CLI, and MCP adapter. Local storage and private runtime internals are not shipped in the public package.
Bilinc treats the record around a write as part of the product: whether the write was verified, which run or operator produced it, what prior state it contradicted, and how to roll it back. Teams often build that layer themselves on top of a memory store.
Bilinc ships a Cloud MCP adapter over stdio exposing commit_mem, recall, and status, with documented configurations for Claude Code, Codex, and Cursor. For Zep, check their current documentation for the supported integration surface.
Run the same agent workflow through both and check three things: can you recall the decision you need before a risky edit, can you tell who wrote a given piece of state, and can you undo a bad run without manual cleanup.
The agent memory guides answer the underlying questions first — what agent memory is, where vector search stops, and how rollback and audit actually work.