Bundlephobia's shields.io proxy frequently hits upstream rate limits
and shows an error state. Packagephobia is more reliable and its
install-size number is on-message for the "3 deps, lightweight" story.
- Replace the static fake coverage badge with codecov.
- Add npm version and bundlephobia bundle-size badges.
- Add test:coverage script and lcov reporter so CI can upload.
- Add a coverage job in CI that uploads to codecov on Node 20.
Requires CODECOV_TOKEN secret to be set in the repo for the badge to
populate; until then the badge will display "unknown".
* chore: trim README of stale facts and tighten examples section
- Drop the "41 source files" tagline. The count drifts every time we
add a file, and lower-bound trivia is not what someone reading the
README needs in the first 10 lines.
- Update the coverage badge to 85% to match the actual `vitest run
--coverage` output (was 88%, written by hand and stale).
- Rebalance the Examples highlights from 8 lines to 7. The previous
list listed three providers individually (`minimax`, `deepseek`,
`groq`) which read like a wall, replaced with one umbrella bullet
pointing at `examples/providers/`. The standalone Ollama bullet
is now covered by the same umbrella.
- Replaced "Examples" in the Contributing section with a more
specific "Production examples" pointer to the new
`examples/production/README.md` acceptance criteria, so the new
category has a real entry point for would-be contributors.
Both English and Chinese READMEs updated in parallel.
* chore: de-AI README prose and strip em-dashes
Remove em-dashes from both READMEs and rewrite the Chinese version's
translation-ese sections (vs. comparisons, philosophy paragraph, bold
feature-benefit bullets) with more natural phrasing.
Examples grew to 19 flat files mixing basics, provider demos, orchestration
patterns, and integrations, with two files colliding on the number 16.
Reorganized into category folders so the structure scales as new providers
and patterns get added.
Layout:
examples/basics/ core execution modes (4 files)
examples/providers/ one example per supported model provider (8 files)
examples/patterns/ reusable orchestration patterns (6 files)
examples/integrations/ MCP, observability, AI SDK (3 entries)
examples/production/ placeholder for end-to-end use cases
Notable changes:
- Dropped numeric prefixes; folder + filename now signal category and intent.
- Rewrote former smoke-test scripts (copilot, gemini) into proper three-agent
team examples matching the deepseek/grok/minimax/groq template. Adapter
unit tests in tests/ already cover correctness, so this only improves
documentation quality.
- Added examples/README.md as the categorized index plus maintenance rules
for new submissions.
- Added examples/production/README.md with acceptance criteria for the new
production category.
- Updated all internal npx tsx paths and import paths (../src/ to ../../src/).
- Updated README.md and README_zh.md links.
- Fixed stale cd paths inside examples/integrations/with-vercel-ai-sdk/README.md.
- Document AgentConfig.customTools alongside agent.addTool()
- Add Tool Output Control section (maxToolOutputChars, maxOutputChars, compressToolResults)
- Add Context Management section covering all four strategies (sliding-window, summarize, compact, custom)
- Bump examples count 18 to 19 and add example 16 (MCP) and example 19 (Groq) to curated list
- Sync README_zh with README: add CLI (oma) note, full MCP Tools section, Groq row in providers table
- Drop stale rentech-quant-platform entry from Used by
Strategic rewrite following docs/project-evaluation-2026-04-09.md.
README.md and README_zh.md updated in lockstep.
Top fold changes:
- New tagline positioning against CrewAI and LangGraph
- Replace 11-bullet "Why" with 3 bullets (runTeam / 3 deps / multi-model)
- New Philosophy section with "we build / we don't build / tracking"
- "We don't build" limited to handoffs and checkpointing (softened);
Cloud/Studio bullet dropped to preserve future Hosted option
- New "How is this different from X?" FAQ covering LangGraph JS, CrewAI,
and Vercel AI SDK
- New "Used by" section with three early-stage integrations, framed
honestly for a new project (temodar-agent, rentech-quant-platform,
cybersecurity SOC home lab)
Examples section:
- Shrink 15-row catalog table to 4 featured entries + link to examples/
- Featured: 02 team collaboration, 06 local model, 09 structured output,
11 trace observability
- Eliminates maintenance debt of updating the table on every new example
Refinements during alignment pass:
- Launch date corrected to 2026-04-01 (matches first commit timestamp)
- Surface Gemini @google/genai peer dep in top fold and Providers table
- Rephrase "Agent handoffs" bullet to avoid reading as single-agent framework
- Update prose example to Opus 4.6 / GPT-5.4 / local Gemma 4
- Quick Start code example shortened ~30% (developer/reviewer collapsed
to stubs, still demonstrates multi-agent team shape)
- Remove CrewAI endorsement stats (48K stars / Andrew Ng / $18M) to keep
comparisons technical
- Drop Star History cache-buster since growth has stabilized; bump
contributors cache-buster to max=20 so all 8 contributors render
- Delete Author section; shrink Contributing to Examples + Documentation
Small carry-over fixes:
- Fix duplicated task_complete line in Quick Start output sample
- Add AgentPool.runParallel() note to Three Ways to Run
- Update source file count 33 → 35
Kept unchanged per scope:
- Architecture diagram, Built-in Tools, Supported Providers
Does not touch source code or package.json.
Local models (Ollama, vLLM) sometimes return tool calls as text instead
of using the native tool_calls wire format. This adds a safety-net
extractor that parses tool calls from model text output when native
tool_calls is empty.
- Add text-tool-extractor with support for bare JSON, code fences,
and Hermes <tool_call> tags
- Wire fallback into OpenAI adapter chat() and stream() paths
- Add onWarning callback when model ignores configured tools
- Add timeoutMs on AgentConfig for per-run abort (local models can
be slow)
- Add 26 tests for extractor and fallback behavior
- Document local model compatibility in README
llama-server exposes an OpenAI-compatible API at /v1/chat/completions,
so it works with provider: 'openai' + baseURL like Ollama and vLLM.
Added to the supported providers table and the feature bullet.
Fixes#34
Add lightweight onTrace callback to OrchestratorConfig that emits
structured span events (llm_call, tool_call, task, agent) with timing,
token usage, and runId correlation. Zero overhead when not subscribed.
Closes#18
- Merge examples 08 (runTasks) and 09 (runTeam) into a single Gemma 4 example
- Renumber: structured output → 09, task retry → 10
- Move Author and Contributors sections to bottom in both READMEs
- Add Author section to English README
Add examples/09-gemma4-auto-orchestration.ts demonstrating runTeam()
with Gemma 4 as the coordinator — the framework's key feature running
fully local. The coordinator successfully decomposes goals into JSON
task arrays, schedules dependencies, and synthesises results.
Verified on gemma4:e2b (5.1B params) with Ollama 0.20.0-rc1.
Add examples/08-gemma4-local.ts demonstrating a pure-local multi-agent
team using Gemma 4 via Ollama — zero API cost. Two agents (researcher +
summarizer) collaborate through a task pipeline with bash, file_write,
and file_read tools. Verified on gemma4:e2b with Ollama 0.20.0-rc1.
Update both READMEs: add example 08 to the examples table and note
Gemma 4 as a verified local model with tool-calling support.
- Add Supported Providers table with 4 verified providers (Anthropic, OpenAI,
Copilot, Ollama) and note that other OpenAI-compatible providers are unverified
- Update Contributing to distinguish baseURL verification (#25) from new adapters
- Note that local models via Ollama require no API key in Quick Start
Remove ~160 lines of duplicated code snippets from both READMEs.
Link to the runnable scripts in examples/ instead — single source of truth,
type-checked by npm run lint.
- Add Ollama/local model agent example in multi-model teams section
- Update "Model Agnostic" description to mention local models and baseURL
- Update contributing section to reflect built-in OpenAI-compatible support
- Add author block with Xiaohongshu link in Chinese README
JackChen
Matt Van Horn
hkalex
Ibrahim Kazimov
MrAvalonApple
JackChen
Trevin Chow
Marcelo Ceccon