Search Oryxen

Search tools, jump to categories, and open key destinations

Recorded alternatives

Alternatives to AI Memory

Every candidate below sits in AI. What ends up on this page is decided entirely by a recorded score — not by bidding, not by editor taste. Review both records, check current vendor terms, then decide.

#1 AIUnknown

Agent-Memory-OS — alternative #1 to AI Memory

🐍 🏠 🍎 🪟 🐧 - Local-first memory engine for AI-agent teams: private/team/project ACL (a hard gate before ranking), associative recall, and fed...

GitHub source
#2 AIUnknown

context-keeper — alternative #2 to AI Memory

🏎️ 🏠 ☁️ 🍎 🪟 🐧 - LLM-driven context and memory management with wide-recall + precise-reranking RAG architecture. Features multi-dimensional r...

GitHub source
#3 AIFree

dakera-go — alternative #3 to AI Memory

Official Go client SDK for the Dakera self-hosted agent memory server, providing typed interfaces for memory store/recall, session managemen...

GitHub source
#4 AIFree

Forge (Norvia Labs — alternative #4 to AI Memory

Open-source terminal AI coding agent (Rust TUI) that unifies agent, code editor, and shell in one keyboard-driven workspace with durable SQL...

GitHub source
#5 AIUnknown

iai-personal-memory-engine — alternative #5 to AI Memory

🐍 🏠 🍎 🪟 🐧 - Local memory daemon for any MCP-over-stdio client with three-tier storage (episodic/semantic/procedural). Own SQLite + hnswlib s...

GitHub source914MIT
#6 AIUnknown

jamjet — alternative #6 to AI Memory

🦀 🐍 - Durable, agent-native AI runtime with native MCP client + server and A2A support. Rust core for performance, Python authoring for ergo...

GitHub source
#7 AIFree

TencentDB Agent Memory — alternative #7 to AI Memory

Fully local long-term memory layer for AI agents with a four-tier progressive pipeline and zero external dependencies. MIT licensed.

GitHub source
#8 AIFree

Tree Ring Memory — alternative #8 to AI Memory

Framework-agnostic, local-first memory lifecycle for AI agents with a Rust CLI, SQLite/FTS recall, redaction, forgetting, audit checks, cons...

GitHub source

Questions about this page

How were these alternatives selected?

Each candidate is a live catalogue record in the same primary category, picked by a deterministic score that Oryxen records in its catalogue: how many meaningful words the two listings share, whether their pricing classes oppose (a paid product against a free one), whether both are open source, and whether either record is featured. The same catalogue state always produces the same list — no randomness, no manual ranking.

Are these alternatives ranked by payment?

No. Rows are ordered only by the recorded score, highest first, with alphabetical ties — payment never influences the order, nothing here is paid placement, and Oryxen charges no listing or placement fee.

Always verify current terms with AI Memory directly — Oryxen records pricing classes, not live quotes.