Skip to main content

A unified search and knowledge tool for AI agents and developers

Project description

AgentKB

Pre-alpha. This is under active development. APIs, CLI commands, and storage formats may change without notice.

A local-first knowledge system for agents. Today its core is persistent wiki pages + searchable agent chat history, with skills as a git-synced filesystem sidecar.

The power is in the intersection:

  • Wiki captures distilled, durable knowledge
  • Chat history captures what was tried, what failed, and what was learned
  • Skills capture repeatable procedures

Your data stays local in universal formats: markdown, JSONL, and normal files on disk. Indexes are ephemeral caches rebuilt from source data.

Built-in code indexing was removed in April 2026. For code search in the current project, use colgrep or normal file tools.

Install

Install as a uv tool so agentkb is available globally:

uv tool install agentkb

Or install from source for development:

uv tool install --editable --python 3.13 ~/path/to/agentkb

To upgrade:

uv tool upgrade agentkb

Quick Start

# Initialize your wiki
agentkb wiki init

# Export + index coding-agent chat history (Claude Code + Pi)
agentkb chats index

# Search the wiki (default scope)
agentkb search "DaVinci Resolve scripting gotchas"

# Search chat history
agentkb search -s chats "how did I fix the auth bug"

# Search wiki + chats together
agentkb search -s all "authentication"

# Check what exists
agentkb status

For code search inside the current repo:

colgrep "error handling logic"

Stores

AgentKB currently has three store types:

  • Wiki: plain markdown pages you and your agents write. Hard-won lessons, techniques, taste, people, tools, domain knowledge.
  • Chat History: coding-agent conversations exported as readable markdown, fully searchable. Built-in sources currently include Claude Code and Pi.
  • Skills: agent skill directories (SKILL.md + scripts + references) managed by git. Not indexed or searched.

Search

agentkb search "retry logic with backoff"              # semantic search (default: wiki)
agentkb search -s wiki "why did we choose JWT"         # search wiki
agentkb search -s chats "how did I fix the auth bug"   # search chat history
agentkb search -s all "authentication"                 # search wiki + chats
agentkb search -e "error" "deployment issues"         # regex + semantic
agentkb search --json "query"                          # JSON output for scripts

Consolidation

Turn recent chat activity into wiki knowledge:

agentkb consolidate
agentkb consolidate --since "30 days"

This exports recent chat history, prints the relevant local paths, and prints consolidation instructions the agent can act on. The agent reads the sessions, extracts reusable lessons, and writes or updates wiki pages.

Skills

Manage agent skills with git sync:

agentkb settings set skills_remote "git@github.com:user/my-skills.git"
agentkb sync pull
agentkb skills list

Sync

Back up your wiki, chat history, and skills to git remotes:

agentkb settings set wiki_remote "git@github.com:user/agentkb-wiki.git"
agentkb settings set chats_remote "git@github.com:user/agentkb-chats.git"
agentkb settings set skills_remote "git@github.com:user/my-skills.git"

agentkb sync push
agentkb sync pull
agentkb sync status

Documentation

Full docs at isaacflath.com/agentkb.

How It Works

Hybrid search: ColBERT multi-vector embeddings (semantic) + SQLite FTS5 (keyword), fused with reciprocal rank fusion. Indexes are incremental: only changed files are re-encoded.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

agentkb-0.3.0.tar.gz (203.2 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

agentkb-0.3.0-py3-none-any.whl (54.1 kB view details)

Uploaded Python 3

File details

Details for the file agentkb-0.3.0.tar.gz.

File metadata

  • Download URL: agentkb-0.3.0.tar.gz
  • Upload date:
  • Size: 203.2 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: uv/0.9.2

File hashes

Hashes for agentkb-0.3.0.tar.gz
Algorithm Hash digest
SHA256 a87ce5937a5e684021986065abe5bdeb8e4aeabd6b8670058e5b47fbaefdfeb2
MD5 e2b3e47146edd9e1aedcdfe03efb3851
BLAKE2b-256 c2a8349ebe08193273988181b7b0f04d2deb487b2f69e83fc2a7c0392604d60a

See more details on using hashes here.

File details

Details for the file agentkb-0.3.0-py3-none-any.whl.

File metadata

  • Download URL: agentkb-0.3.0-py3-none-any.whl
  • Upload date:
  • Size: 54.1 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: uv/0.9.2

File hashes

Hashes for agentkb-0.3.0-py3-none-any.whl
Algorithm Hash digest
SHA256 c2a368360e133d5f696f2737b9be4c8d2207d9d5c20bc32035a52579073758fa
MD5 3eaebb66581a496d58990cee80d8df1a
BLAKE2b-256 a916d8346c5a071e8c712e6c6eae1a9b06b7a3a2170c2e92469500022c2eaf1c

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page