FunASR
★ 16.6k
vs
ogham-mcp
★ 105
FunASR vs ogham-mcp
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.; ogham-mcp: Ogham MCP is a persistent, searchable shared memory system for AI coding agents that works across different clients and sessions. It stores memories as vector embeddings in PostgreSQL, enabling hybrid search combining semantic and full-text retrieval with high accuracy. Ogham supports multiple embedding providers, knowledge graph traversal, wiki compilation, and automatic memory management features like scoring, condensing, and novelty detection.
01
TL;DR
Choose FunASR if…Meeting transcription with speaker labels, timestamps, and punctuation
Choose ogham-mcp if…Store and retrieve architectural decisions and coding context across sessions and different AI coding agents
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
ogham-mcp01Persistent shared memory across sessions and clients
02Hybrid search with Reciprocal Rank Fusion (semantic + full-text)
03Knowledge graph with entity linking, traversal, and contradiction detection
04Multi-provider embeddings (OpenAI, Ollama, Mistral, Voyage, Gemini, ONNX)
05Automatic condensing, scoring, novelty detection, and memory lifecycle management
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)
ogham-mcp↳Store and retrieve architectural decisions and coding context across sessions and different AI coding agents
↳Provide consistent, context-aware assistance to AI coding agents by maintaining a shared knowledge base
↳Preserve project-specific information, preferences, and facts for long-term reference without repetition
05
Best For
FunASRMost PopularVoice / SpeechLLM Infra
ogham-mcpTrendingMemory & ContextDev Tooling
FAQ
FAQ
What is the difference between FunASR and ogham-mcp?
Both FunASR and ogham-mcp are in the Voice / Speech category. FunASR has 16.6k stars, while ogham-mcp has 105 stars.
Which is better, FunASR or ogham-mcp?
The best choice depends on your use case. Choose FunASR if Meeting transcription with speaker labels, timestamps, and punctuation, and ogham-mcp if Store and retrieve architectural decisions and coding context across sessions and different AI coding agents.
Is FunASR free or open source?
Yes, FunASR is open source on GitHub (MIT).
Is ogham-mcp free or open source?
Yes, ogham-mcp is open source on GitHub (MIT).
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