docmancer 0.1.11

Fetch docs, embed locally, expose to AI agents via skills.

docmancer

Stop your AI from hallucinating APIs. Ground your agents in version-specific docs, locally, for free.

✔ Up-to-date, version-specific documentation straight from the source ✔ Only the chunks your agent needs, not the whole doc site ✔ 100% local. Embeddings, storage, retrieval all on your machine. ✔ Completely free. No rate limits, no quotas, no API keys. ✔ Works offline once ingested. Private and internal docs supported. ✔ No MCP server. Installs as a skill, runs as a CLI.

pipx install docmancer --python python3.13

Quickstart · The Problem · Agents · Why Local? · Commands · Install · Wiki

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Quickstart

# 1. Install pipx
brew install pipx
pipx ensurepath

# 2. Open a new shell, then install docmancer
pipx install docmancer --python python3.13

# 3. Ingest a docs source
docmancer ingest https://docs.example.com

# 4. Install the skill into your agents
docmancer install claude-code
docmancer install cursor
docmancer install codex

# 5. Query from the CLI
docmancer query "How do I authenticate?"

No server to start. Config and the default vector store are created under ~/.docmancer/ on first use.

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The Problem

AI agents hallucinate APIs. They invent CLI flags, fabricate method signatures, and confidently cite documentation from versions that no longer exist. The root cause is simple: their training data has a cutoff, and they fill gaps by guessing.

The obvious fix, dumping entire doc sites into context, makes it worse. You burn thousands of tokens on irrelevant text and bury the one paragraph that actually matters.

Cloud-based documentation tools add rate limits, usage tiers, and route your queries through third-party servers. Docmancer takes a different approach: you ingest docs once, they are chunked and indexed locally, and the agent retrieves only the matching sections when it needs them.

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Works With Every Agent

Docmancer installs a skill file into each agent that teaches it to call the CLI directly. One local index, one ingest step, every agent covered.

Agent	Install command
Claude Code	docmancer install claude-code
Cline	docmancer install cline
Codex	docmancer install codex
Cursor	docmancer install cursor
Gemini CLI	docmancer install gemini
OpenCode	docmancer install opencode
Claude Desktop	docmancer install claude-desktop

Skills are plain markdown files. No background daemon, no MCP server, no ports. Use --project with claude-code, gemini, or cline to install into the current working directory instead of globally.

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Why Local?

	DocMancer
Cost	Free, always. No tiers, no quotas.
Rate limits	None. Query as much as you want.
Private docs	Supported free. No paid plan required.
Data privacy	Nothing leaves your machine.
Infrastructure	No server. CLI + local storage.
Offline use	Yes, after ingestion.
Embedding	Local FastEmbed. No API key needed.

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Commands

Command	What it does
docmancer ingest <url-or-path>	Fetch, chunk, embed, and index docs locally
docmancer query <text>	Retrieve relevant chunks from the local index
docmancer install <agent>	Install skill file for a supported agent
docmancer list	List ingested sources with timestamps
docmancer fetch <url>	Download GitBook docs as markdown (no embedding)
docmancer remove <source>	Remove an ingested source from the index
docmancer inspect	Show collection stats and config
docmancer doctor	Health check: PATH, config, Qdrant, installed skills
docmancer init	Create a project-local docmancer.yaml

Use --full with docmancer query to return the entire chunk body (default truncates at 1500 characters). Use --limit N to change how many chunks are returned.

For large ingests, tune ingestion.workers, ingestion.embed_queue_size, web_fetch.workers, embedding.batch_size, and embedding.parallel in docmancer.yaml.

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Install

brew install pipx
pipx ensurepath
# open a new shell, then:
pipx install docmancer --python python3.13

Supports Python 3.11-3.13. On Apple Silicon, prefer the native Homebrew Python:

pipx install docmancer --python /opt/homebrew/bin/python3.13

Upgrade with pipx upgrade docmancer.

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Documentation

For configuration, troubleshooting, architecture details, and more, see the GitHub Wiki.

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Contributing

See CONTRIBUTING.md.

License

MIT License. See LICENSE.

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Your agents are guessing. Fix that in two commands.