Semble Review

Our Verdict

Semble makes sense when repo exploration is what keeps slowing your coding agent down. It gives MCP and CLI workflows a much tighter search layer without pushing you into a hosted indexing product. The limit is clear: Semble fixes retrieval, not reasoning, so you still need to prove your agent actually trusts the results.

Official site

Public pricing is not confirmed. Verify it on the official site.

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check_circle Pros

• ✓Cuts the first search pass down before an agent starts opening half the repo.
• ✓Runs locally on CPU with no API key or hosted dependency.
• ✓Supports both MCP and CLI workflows instead of forcing one setup.

cancel Cons

• ✕Public proof is much stronger on retrieval benchmarks than on end-to-end task wins.
• ✕Token savings disappear if the agent keeps rereading files anyway.
• ✕You still need to validate setup quality inside your own agent stack.

Should you use it?

developers using coding agents on medium or large repos where search is eating context

Skip it if: your main problem is code generation quality rather than repo navigation, or you want a polished hosted admin product

Is it worth the price?

Pricing not confirmed

The current official and GitHub sources did not surface a paid plan, which makes testing easy. The real cost is time: you still need to run one repeated repo task and see whether your agent actually stops wasting reads.

One thing to know before you start

Test Semble on one ugly repo question that usually sends your agent wandering. If the model still opens half the tree, you learned the important part fast.

What people actually use it for

Cut repo exploration cost

Use Semble when grep returns too many near misses and the expensive part is deciding which few files deserve a full read.

What does Semble actually do?

Semble is not another general coding copilot. Its job is narrower: help an agent find the right code faster inside a repo so the first search pass stops spiraling.

The strongest part is setup. It runs locally on CPU, works with MCP clients and a CLI path, and stays easy to test. The caution is just as clear: retrieval gains only matter if your agent trusts the results and actually stops wandering.

What you can do with it

Search repos with natural-language or code queries.

Run as an MCP server for agent tools like Codex and Cursor.

Use a CLI when shell-based search fits better than MCP.

Index and query on CPU with no API key.

Search local paths or remote git URLs with cached indexes.

Technical details

mcp_tools

Exposes search and find_related through MCP.

install_path

Python package installable with uv or pip on Python 3.10+.

retrieval_stack

Uses Model2Vec, BM25, RRF, and code-aware reranking on CPU.

Top Alternatives to Semble

If Semble is close but still misses the job, try one of these instead.

agentmemory

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Key Questions

Is Semble a coding agent?

No. It is a retrieval layer for coding agents. You use it to improve repo search, not to replace Codex, Claude Code, or Cursor.

Does Semble need a hosted service?

No. The official docs describe a local CPU workflow with no API key, GPU, or external hosted dependency.