Vektori Alternatives
Similar projects and alternatives to vektori
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AppSignal
AppSignal knows why the f*#k it crashed. Stop vibe-debugging. Every exception, every backtrace, grouped so you see patterns, not noise.
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distillery
Team knowledge evaporates daily — pairing sessions, debugging context, architectural rationale lost to Slack. Distillery captures it at the point of creation, connects it into a living graph, and surfaces it conversationally. It monitors feeds, tracks what matters to your projects, and alerts you before you know to ask. A team brain that learns. (by norrietaylor)
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yantrikdb
Cognitive memory engine for AI agents — temporal decay, contradiction detection, autonomous consolidation, knowledge graph, ANN recall via HNSW. Embeddable Rust library with Python bindings; powers yantrikdb-server (HTTP gateway, MCP server, openraft cluster). AGPL.
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mempalace
Discontinued The best-benchmarked open-source AI memory system. And it's free. [Moved to: https://github.com/MemPalace/mempalace] (by milla-jovovich)
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genesys
Open-source causal graph memory for AI agents. 89.9% on LoCoMo. MCP server with ACT-R scoring, spreading activation, and active forgetting. (by rishimeka)
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SaaSHub
SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives
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mesh-memory
Save notes, decisions, worklogs. Find them by meaning, not keywords. Self-hosted semantic memory with auto-tagging and galaxy map visualization.
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opentrace
OpenTrace is a knowledge graph platform that maps system architecture, code structure, and service relationships giving you a visual, queryable map of how your codebase and infrastructure connect. (by opentrace)
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garmin-ai-notifier
Free, automated daily AI brief on your Garmin data. Pulls Garmin Connect into SQLite, computes full-history stats, and pushes a Gemini-written insight to your phone. $0 to run.
vektori discussion
vektori reviews and mentions
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Full-Proof: Distillery 0.4.0 and the Agent Memory Problem
My own investigation of the memory research last week kept landing on a related but distinct conclusion. Three-tier layered memory (fast index on top, episodes in the middle, raw transcripts on demand) is now the default pattern in serious memory systems. LongMemEval-S at 73% is a reasonable community-stack baseline (Vektori, BGE-M3 plus Flash-2.5-lite), and MemPalace's ChromaDB-backed stack has since posted 96.6% on LongMemEval R@5 in raw mode, which is the kind of jump worth watching. The leaked Claude Code memory internals, three subsystems plus a "Dream" consolidation pass, is almost exactly this architecture. The failures in agent memory aren't mostly retrieval: they sit in the reasoning layer between retrieval and action, and in the moment a session ends and all the volatile context evaporates.
Stats
vektori-ai/vektori is an open source project licensed under Apache License 2.0 which is an OSI approved license.
The primary programming language of vektori is Python.