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Remembra Alternatives
Similar projects and alternatives to remembra
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mneme
Three-layer memory architecture for AI coding agents. Persistent facts, cross-session task tracking, and ephemeral execution — so agents stop forgetting. (by CVPaul)
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cecil-protocol
Persistent memory and identity protocol for AI systems with evidence-aware recall and inspectable memory.
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engram
Discontinued Moved to https://codeberg.org/GhostFrame/engram under new ownership (by zanfiel)
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verantyx-v6
ARC-AGI2 solver — 84.0% on training (840/1000). Hybrid: 30+ hand-crafted solvers + Claude Sonnet 4.5 program synthesis with deterministic verification. No fine-tuning, no GPU.
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CodeTrackr
Discontinued The open-source, privacy-first coding time tracker — free forever, with leaderboards and a plugin system. Hosted-in Sweden. Assisted-by Claude. [GET https://api.github.com/repos/livrasand/CodeTrackr: 404 - Not Found // See: https://docs.github.com/rest/repos/repos#get-a-repository]
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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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superlocalmemory
Open-source governed, local-first memory control plane for AI agents and teams. arXiv:2608.08253
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widemem-ai
Next-gen AI memory layer with importance scoring, temporal decay, hierarchical memory, and YMYL prioritization
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memforge
Neuroscience-inspired memory for AI agents — sleep cycles that rewrite and strengthen knowledge over time. TypeScript, PostgreSQL, MCP.
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mentedb
A cognition aware database engine for AI agent memory. Purpose built in Rust with WAL, HNSW, knowledge graphs, and speculative context pre assembly. Not a wrapper, a ground up storage engine that thinks.
remembra discussion
remembra reviews and mentions
- Remembra – Open-source semantic memory for AI agents
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Add Persistent Memory to Your AI Agent in 5 Minutes
GitHub: https://github.com/remembra-ai/remembra Docs: https://docs.remembra.dev Discord: https://discord.gg/Bzv3JshRa3
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Show HN: Mneme–Persistent memory for AI agents without vector search or RAG
Interesting take on avoiding vectors. We landed somewhere in between with Remembra - hybrid search (vectors + BM25 fusion) but the real win came from entity resolution.
The insight: most 'memory failures' in coding sessions aren't retrieval failures, they're identity failures. The agent knows you mentioned 'David' and 'Mr. Kim' and 'the client' - but doesn't know they're the same person.
We added automatic entity graphs that link these references, so when you search for anything about the project, you get the full context of WHO was involved, not just what was said.
Re: append-only vs rewriting - we do both via temporal decay. Old memories naturally lose salience over time (Ebbinghaus-style) unless they keep getting referenced. Lets you avoid explicit curation without accumulating noise.
GitHub if useful: https://github.com/remembra-ai/remembra
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Stats
remembra-ai/remembra is an open source project licensed under MIT License which is an OSI approved license.
The primary programming language of remembra is HTML.