FunASR
★ 16.6k
vs
multi-agent-memory
★ 40
FunASR vs multi-agent-memory
FunASR: FunASR is a fundamental end-to-end speech recognition toolkit. It offers industrial-grade speech recognition, being 170x faster than Whisper, supporting over 50 languages, and integrating features like speaker diarization, emotion detection, and streaming.; multi-agent-memory: Multi-Agent Memory is a cross-machine, cross-agent persistent memory system for AI agents. It provides a shared brain that works across machines, tools, and frameworks, allowing agents to store and recall facts, events, statuses, and decisions. Features include typed memory, entity extraction, LLM consolidation, credential scrubbing, and agent isolation.
01
TL;DR
Choose FunASR if…Meeting transcription with speaker labels, timestamps, and punctuation
Choose multi-agent-memory if…Sharing context between multiple AI agents (e.g., Claude Code, OpenClaw, n8n) across different machines
02
Side-by-Side Comparison
03
Features
FunASR01Extremely fast (170x faster than Whisper)
02Supports 50+ languages
03Built-in Speaker Diarization
04Emotion Detection
05Streaming ASR and vLLM Acceleration
multi-agent-memory01Typed memory with mutation semantics (event, fact, status, decision)
02Entity extraction and linking with fast and smart paths
03Credential scrubbing before storage
04Agent isolation and API gatekeeping
05Session briefings for catching up on changes
04
Use Cases
FunASR↳Meeting transcription with speaker labels, timestamps, and punctuation
↳Deployment as an OpenAI-compatible API server
↳Integration with AI agents (e.g., Claude, LangChain, Dify, AutoGen)
multi-agent-memory↳Sharing context between multiple AI agents (e.g., Claude Code, OpenClaw, n8n) across different machines
↳Persisting knowledge across sessions for autonomous agents
↳Centralized memory for multi-agent workflows and automation
05
Best For
FunASRMost PopularVoice / SpeechLLM Infra
multi-agent-memoryTrendingMulti-AgentMemory & Context
FAQ
FAQ
What is the difference between FunASR and multi-agent-memory?
Both FunASR and multi-agent-memory are in the Voice / Speech category. FunASR has 16.6k stars, while multi-agent-memory has 40 stars.
Which is better, FunASR or multi-agent-memory?
The best choice depends on your use case. Choose FunASR if Meeting transcription with speaker labels, timestamps, and punctuation, and multi-agent-memory if Sharing context between multiple AI agents (e.g., Claude Code, OpenClaw, n8n) across different machines.
Is FunASR free or open source?
Yes, FunASR is open source on GitHub (MIT).
Is multi-agent-memory free or open source?
Yes, multi-agent-memory is open source on GitHub (MIT).
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